Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems | Paper Citation Record

Observation 197bf732-1568-462c-9bfb-734ffd6c5f55 · outbound

This paper cites Whitehouse, Handbook of Surface Metrology (Routledge & CRC Press, 1994).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Whitehouse, Handbook of Surface Metrology (Routledge & CRC Press, 1994)

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Observation 404c1a62-19a9-47be-9c71-7012e322a22f · outbound

This paper cites Vakis, V.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Vakis, V

Reference 2

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Observation 5d9d101f-a71b-4369-ae41-b77aee03dd88 · outbound

This paper cites Greenwood, J.B.P.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Greenwood, J.B.P

Reference 3

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Observation 12c2b0f1-1eb5-4f79-a6c4-214854a64fac · outbound

This paper cites Barber, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Barber, M

Reference 4

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Observation 11c0009b-7821-474d-8491-664c94b723d5 · outbound

This paper cites Johnson, Contact Mechanics (Cam- bridge University Press, 1985) 30.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Johnson, Contact Mechanics (Cam- bridge University Press, 1985) 30

Reference 5

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Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 6

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Observation f44c5e4c-4204-45ef-a266-25a1e3e10c3a · outbound

This paper cites Wriggers, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Wriggers, G

Reference 7

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Observation 60855ff1-073a-4be9-8116-00769f53b4f4 · outbound

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Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 8

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Observation a13666c9-310d-4741-ade1-cf315b1cda91 · outbound

This paper cites Wriggers, Advanced Discretiza- tion Methods for Contact Mechanics (Springer International Publishing, Cham, 2018), pp.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Wriggers, Advanced Discretiza- tion Methods for Contact Mechanics (Springer International Publishing, Cham, 2018), pp

Reference 9

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Observation 220f371d-bebd-45c9-82bb-928d62163049 · outbound

This paper cites Adams, Algebraic multigrid methods for constrained linear systems with applica- tions to contact problems in solid mechanics.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Adams, Algebraic multigrid methods for constrained linear systems with applica- tions to contact problems in solid mechanics

Reference 10

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Observation 459dc26b-be6c-4134-8fb4-a1b15897b863 · outbound

This paper cites Wiesner, A.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Wiesner, A

Reference 11

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Observation 3de107e8-1813-477a-8cef-c0817bb1e5f0 · outbound

This paper cites Wiesner, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Wiesner, M

Reference 12

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Observation 897b216e-c82f-4cf7-bb4d-16ec8626cc5c · outbound

This paper cites an unresolved cited work.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 13

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Observation f6bc3963-22a2-408a-9145-cc337fb2456f · outbound

This paper cites Pohrt, Q.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Pohrt, Q

Reference 14

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Observation 78c2a4bc-e7f5-4e50-be6c-c2fccfef81a9 · outbound

This paper cites Vollebregt, A new solver for the elastic normal contact problem using conjugate gradients, deflation, and an FFT-based preconditioner.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Vollebregt, A new solver for the elastic normal contact problem using conjugate gradients, deflation, and an FFT-based preconditioner

Reference 15

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Observation 7c839d94-b8ad-4e0c-a32e-6e5913a993ee · outbound

This paper cites Paggi, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Paggi, M

Reference 17

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Observation 350ce416-fee5-42ef-834c-448c03ab4f6c · outbound

This paper cites Carbone, F.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Carbone, F

Reference 18

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Observation 84294446-4d93-4c10-9a3a-b3c09a03790c · outbound

This paper cites Yastrebov, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Yastrebov, G

Reference 19

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correction dated 2021-10-13. Source: crossref record 10.1016/j.jmps.2020.104269->10.1016/j.jmps.2017.07.016:correction, observed 2026-07-11T03:10:43.176263+00:00. This notice travels one citation hop only.

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Reference 20

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Observation 19b43787-6a44-4720-a4b5-bd77eb237f03 · outbound

This paper cites Putignano, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Putignano, G

Reference 21

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Observation 95b709a7-aa47-449f-9f21-f511357d04c7 · outbound

This paper cites Zhao, E.A.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Zhao, E.A

Reference 22

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Reference 23

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Observation d117da4d-f0a7-4591-9159-fdb01389f11b · outbound

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Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 24

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Observation 3d3ad08e-faf4-4f33-becf-800e465764e8 · outbound

This paper cites Yastrebov, J.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Yastrebov, J

Reference 25

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Observation cc44a4c3-561e-4681-856c-809538974d91 · outbound

This paper cites Carvalho, A.M.C.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Carvalho, A.M.C

Reference 26

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Observation 563154df-2d0c-4de6-acad-63680fc2ac2e · outbound

This paper cites Paggi, J.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Paggi, J

Reference 27

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Observation 16d5017c-ffaa-4e17-ba69-069a7555c7f2 · outbound

This paper cites Bonari, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bonari, M

Reference 28

Resolution: verified exact; doi, observed 2026-08-16T10:47:33.146868Z

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Observation 0cbbad72-8712-4158-a49a-e87248e8bde3 · outbound

This paper cites Bonari, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bonari, M

Reference 29

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Observation eaac5f8a-5578-4b1f-9d81-47fbdba67339 · outbound

This paper cites Campa˜ n´ a, M.H.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Campa˜ n´ a, M.H

Reference 30

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Observation 592ab0f6-47d7-45c8-ac36-af9b6cb92320 · outbound

This paper cites M¨ user, W.B.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems M¨ user, W.B

Reference 31

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Observation 7679d5bd-f3fd-498f-a3d2-ed6242746f15 · outbound

This paper cites Bonari, M.R.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bonari, M.R

Reference 32

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Observation ab34dc1a-acdc-4ee4-9b86-5c1459e4e56a · outbound

This paper cites Solomatine, A.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Solomatine, A

Reference 33

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Observation 69ac57af-bcbe-4fdb-a951-07c3096e16a0 · outbound

This paper cites Mont´ ans, F.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Mont´ ans, F

Reference 34

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Observation 0134ae79-9b6a-441f-a47e-d4518941a1b9 · outbound

This paper cites Bourdeau, X.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bourdeau, X

Reference 35

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Observation 596a7763-9cbc-4552-96d6-234b26eac43a · outbound

This paper cites Karapiperis, L.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Karapiperis, L

Reference 36

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Observation a16781ec-ebd1-4070-b65d-738eddeeff90 · outbound

This paper cites Sanhueza, I.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Sanhueza, I

Reference 37

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Observation 5b0b4033-3d75-4f7c-8342-ead6059ce811 · outbound

This paper cites Elangovan, N.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Elangovan, N

Reference 38

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Observation 397bb722-b9a4-4829-affe-6b7eb72534ef · outbound

This paper cites Prajapati, J.K.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Prajapati, J.K

Reference 39

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Observation 1a3bf3cd-6c68-4eec-be3d-d6530769541b · outbound

This paper cites Boidi, M.R.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Boidi, M.R

Reference 40

Resolution: verified exact; doi, observed 2026-08-16T10:47:33.049044Z

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Observation 3faa368d-74f1-4ed5-8312-edbe039c1ae3 · outbound

This paper cites Hasan, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Hasan, M

Reference 41

Resolution: verified exact; doi, observed 2026-08-16T10:47:33.037323Z

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Observation 29272971-c370-4ae0-b92f-260bebbd5c7b · outbound

This paper cites Batu, H.G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Batu, H.G

Reference 42

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Observation 741066ae-bc73-434a-87c1-cab060af6909 · outbound

This paper cites Rapetto, A.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Rapetto, A

Reference 43

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Observation 0d3bb8e9-8c13-4502-8ede-103aad0f44ab · outbound

This paper cites Kalliorinne, R.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Kalliorinne, R

Reference 44

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Observation d38450e4-d0ee-44bf-a943-4cea027aaa7d · outbound

This paper cites Jiang, W.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Jiang, W

Reference 45

Resolution: verified exact; doi, observed 2026-08-16T10:47:33.024965Z

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Observation 0d59ef20-967a-4978-a25e-b93d740ad352 · outbound

This paper cites Raissi, P.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Raissi, P

Reference 46

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Observation e76a0734-9b19-454d-8712-3e8ed6fb3533 · outbound

This paper cites Sahin, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Sahin, M

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.683762Z

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Observation 8fcf49f9-f1ef-46c9-9b6a-bf4db469b3e8 · outbound

This paper cites Johnson, Contact Mechanics (Cam- bridge University Press, 1985).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Johnson, Contact Mechanics (Cam- bridge University Press, 1985)

Reference 48

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Observation 22f343b7-fc92-485d-8909-0dfb2422bf86 · outbound

This paper cites Bowden, D.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bowden, D

Reference 49

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Observation 4d09df4a-0809-4215-92ef-09ff4a335ca1 · outbound

This paper cites Vakis, V.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Vakis, V

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.695666Z

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Observation 54eff30e-a5d9-4303-ad15-6ebcac818566 · outbound

This paper cites Barber, Contact Mechanics (Springer, 2018).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Barber, Contact Mechanics (Springer, 2018)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.660048Z

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Observation 8a959c57-d9f0-4a3e-9bd7-8df46774d7a4 · outbound

This paper cites Yastrebov, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Yastrebov, G

Reference 52

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Observation bbf18fa0-d412-4287-b214-93366dfd8dfc · outbound

This paper cites Fournier, D.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Fournier, D

Reference 53

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Observation e9ffe134-2ad4-4f95-98b6-6ccfc5d94152 · outbound

This paper cites Persson, On the fractal dimension of rough surfaces.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Persson, On the fractal dimension of rough surfaces

Reference 54

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:47:34.647915Z

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Observation 253aafe6-3a2f-48df-bef1-949ed622388f · outbound

This paper cites Mandelbrot, The fractal geometry of nature (San Francisco: W.H.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Mandelbrot, The fractal geometry of nature (San Francisco: W.H

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.635788Z

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Observation b1d3fc5b-b6a4-4e47-898a-c7e7eef26c71 · outbound

This paper cites Barnsley, R.L.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Barnsley, R.L

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.621842Z

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Observation eb970667-75f9-461d-a29b-177f99bec210 · outbound

This paper cites Bemporad, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bemporad, M

Reference 57

Resolution: verified exact; doi, observed 2026-08-16T10:47:33.281132Z

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Observation f6d07279-f860-484f-a1a2-374f6ed65bbe · outbound

This paper cites Zavarise, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Zavarise, M

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.609031Z

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Observation 174e2383-9bb7-4b2c-888b-0b9fe521237e · outbound

This paper cites Paggi, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Paggi, M

Reference 59

Resolution: verified exact; doi, observed 2026-08-16T10:47:32.980532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca0111fe-2b4c-4bb8-aa8a-e789b30db5a1 · outbound

This paper cites Borri, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Borri, M

Reference 60

Resolution: malformed identifier; no resolver link, observed 2026-08-16T10:47:32.732643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18f4b37-0f5b-4951-85c1-27012276a9a8 · outbound

This paper cites Fr´ erot, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Fr´ erot, G

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.736662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1318a25-9911-4346-a867-1b215ba66dcf · outbound

This paper cites Bord´ on, G.M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Bord´ on, G.M

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.740924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b2f173-d36a-460b-a636-bd0aa4b1d987 · outbound

This paper cites Popov, M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Popov, M

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.596629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc815cec-4b8a-4413-9bf6-e78770336518 · outbound

This paper cites Brandstaeter, S.L.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Brandstaeter, S.L

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:47:34.584900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb0e9f8e-1f85-4c27-a097-94bf06878d31 · outbound

This paper cites Wirthl, S.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Wirthl, S

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.752999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1f268f-ab4e-4303-a86c-08f02e105fc2 · outbound

This paper cites Willmann, J.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Willmann, J

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.757444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59574c2-7c3f-46a7-a3c3-710c4badbd95 · outbound

This paper cites Dinkel, C.M.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Dinkel, C.M

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:47:34.573619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07919d12-7c8d-4cf8-b33e-28d6b2394ee1 · outbound

This paper cites von Danwitz, T.T.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems von Danwitz, T.T

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.560609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0319be8-ea00-4e23-992b-743c0033d9e3 · outbound

This paper cites Sahin, D.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Sahin, D

Reference 69

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:47:33.784103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44dd1548-039e-4637-a332-fee8ae4429ee · outbound

This paper cites Ganti, P.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Ganti, P

Reference 70

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:47:33.715289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93a9da81-fb9a-4a82-a8f0-e1060eb11d60 · outbound

This paper cites Goodman, L.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Goodman, L

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.547504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb8a6ca8-5749-4b67-8ac4-582d75d3fcb7 · outbound

This paper cites G´ eron, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow (O’Reilly Media, Inc., 2022).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems G´ eron, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow (O’Reilly Media, Inc., 2022)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.532330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63cb3db5-423e-4a86-ab14-5c539b9c0514 · outbound

This paper cites Singh, B.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Singh, B

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.785102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae03397-7271-4625-8348-78d0de6b51b0 · outbound

This paper cites an unresolved cited work.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 74

Resolution: verified exact; doi, observed 2026-08-16T10:47:32.935228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ae7e9ed-45b8-44a2-9514-94398a0b6b0f · outbound

This paper cites Breiman, Random forests.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Breiman, Random forests

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.519391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91c789c4-0dc9-48df-bd76-37a30806b95c · outbound

This paper cites Vapnik, The nature of statistical learn- ing theory (Springer-Verlag New York, Inc., 1995).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Vapnik, The nature of statistical learn- ing theory (Springer-Verlag New York, Inc., 1995)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.507567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 69c019ed-db4c-414f-9167-51712a8024af · outbound

This paper cites Freund, R.E.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Freund, R.E

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.807061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb8975a-b12a-46f6-84b9-6d2dccc04e4a · outbound

This paper cites Rasmussen, C.K.I.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Rasmussen, C.K.I

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:47:34.495833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17cdd5c1-18d6-40a5-b7f1-a513414f24d0 · outbound

This paper cites Friedman, Greedy function approx- imation: A gradient boosting machine.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Friedman, Greedy function approx- imation: A gradient boosting machine

Reference 79

Resolution: malformed identifier; no resolver link, observed 2026-08-16T10:47:32.819904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1835634e-c5a8-4cf0-8aaf-89f9f8279619 · outbound

This paper cites Vovk, Kernel Ridge Regression (Springer Berlin Heidelberg, Berlin, Heidelberg, 2013), pp.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Vovk, Kernel Ridge Regression (Springer Berlin Heidelberg, Berlin, Heidelberg, 2013), pp

Reference 80

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:47:34.484790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13888eb5-45b8-4614-b40d-6c98b4fa065a · outbound

This paper cites an unresolved cited work.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.832491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b74214e-866f-45e2-aaf5-0c09a1d3e493 · outbound

This paper cites Goodfellow, Y.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Goodfellow, Y

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.472175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3da6033-6c2a-4e76-ab7f-bb3819d6aa6b · outbound

This paper cites Murphy, Machine Learning: A Proba- bilistic Perspective (The MIT Press, 2012).

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Murphy, Machine Learning: A Proba- bilistic Perspective (The MIT Press, 2012)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.459732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b13aee30-4ed2-4cac-870a-16c388e852c5 · outbound

This paper cites an unresolved cited work.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.844242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236ad958-833f-462d-baed-6ca66dc2a732 · outbound

This paper cites Feurer, F.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Feurer, F

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.445037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af6cbc12-055d-4bfb-842e-eff400c5ee6d · outbound

This paper cites Revisiting Deep Learning Models for Tabular Data.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Revisiting Deep Learning Models for Tabular Data

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:32.853391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbcf548-8dff-416f-bf9f-13dbd71aca79 · outbound

This paper cites Pedregosa, G.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Pedregosa, G

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.432400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21210130-9730-4c3c-9201-4317e431a1dc · outbound

This paper cites Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection p.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection p

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.420604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4de990a3-df00-4ac8-b25a-f6596912299d · outbound

This paper cites Zhang, C.A.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Zhang, C.A

Reference 89

Resolution: verified exact; doi, observed 2026-08-16T10:47:32.907586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05fae3ed-a2de-4453-9ed4-fcf19937a048 · outbound

This paper cites Botchkarev, A new typology design of performance metrics to measure errors in machine learning regression algorithms.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Botchkarev, A new typology design of performance metrics to measure errors in machine learning regression algorithms

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.408959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 173b158f-ed5f-4a64-a803-59ba4510760e · outbound

This paper cites Hyndman, A.B.

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Hyndman, A.B

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:34.395530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

Pith citing papers