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arxiv: 2604.25487 · v1 · submitted 2026-04-28 · 💻 cs.DL · cs.IR

Recognition: unknown

A contemporary science map through the lens of IEEE and ACM periodicals

Dimitrios Katsaros, Dionysios Kritsas, George Margaritis, Yannis Manolopoulos

Pith reviewed 2026-05-07 13:46 UTC · model grok-4.3

classification 💻 cs.DL cs.IR
keywords open accessACM periodicalsIEEE periodicalsAI focustheme overlapscience trendspublication patternsjournal titles
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The pith

ACM and IEEE periodicals show rising open access use, AI focus at ACM, and major theme overlaps within each association.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines titles of recently established periodicals from ACM and IEEE to spot current trends in computing and engineering. It identifies a shift toward open access publishing by both groups, ACM's growing emphasis on AI topics, and substantial thematic duplication among journals from the same association. A sympathetic reader would care because these two organizations dominate publication in their fields, so their choices indicate broader directions in the disciplines. The study stays qualitative to produce patterns that readers can check directly from the titles themselves.

Core claim

By examining the titles of periodicals established recently by ACM and IEEE, we detect a growing preference for open access, ACM's orientation toward AI-focused periodicals, and notably, substantial overlap in themes among periodicals of the same association and this is valid for both ACM and IEEE.

What carries the argument

Qualitative reading of recent periodical titles as indicators of scientific themes, trends, and overlaps.

If this is right

  • Both ACM and IEEE will continue to increase the share of open access periodicals they publish.
  • ACM will launch additional periodicals centered on artificial intelligence topics.
  • Periodicals within ACM will continue to share themes with other ACM periodicals, and the same will hold inside IEEE.
  • Qualitative title inspection can serve as a lightweight way to track evolving science priorities through association decisions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The observed overlaps could prompt the associations to review whether their journal portfolios contain unnecessary redundancy.
  • Future work could test the title-based findings by extracting keywords or topics from actual article abstracts.
  • The same title-analysis approach might be extended to conference series to map trends beyond journals.
  • Increased open access could lead to higher visibility for computing research but might also change how impact is measured.

Load-bearing premise

Periodical titles alone reliably indicate the underlying scientific themes, trends, and overlaps without needing to examine article content, keywords, or citations.

What would settle it

If a content analysis of articles published in the overlapping-titled periodicals from the same association reveals distinct themes with little shared focus, the claim of significant theme overlap would be falsified.

Figures

Figures reproduced from arXiv: 2604.25487 by Dimitrios Katsaros, Dionysios Kritsas, George Margaritis, Yannis Manolopoulos.

Figure 4
Figure 4. Figure 4: Top-10 ACM journals by CiteScore in view at source ↗
Figure 1
Figure 1. Figure 1: Top-10 IEEE journals by Impact Factor in view at source ↗
Figure 2
Figure 2. Figure 2: Top-10 IEEE journals by CiteScore in 2024. A  A  A   A A  view at source ↗
Figure 3
Figure 3. Figure 3: Top-10 ACM journals by Impact Factor in 2024. As expected, periodicals publishing survey articles, namely ACM CSUR and IEEE Communication Surveys & Tutorials are the top performers with respect to both JIF and CiteScore. A A view at source ↗
Figure 5
Figure 5. Figure 5: Impact evolution of those IEEE periodicals with the h view at source ↗
Figure 6
Figure 6. Figure 6: Impact evolution of those ACM periodicals with the hi view at source ↗
Figure 7
Figure 7. Figure 7: Birth distribution of ACM journals. 1  1  1  1  1  1  1  1  1  1  1  1  1  1  1 1  1  1       1 1 1 1 1      1 view at source ↗
Figure 8
Figure 8. Figure 8: Birth distribution of IEEE magazines. when 19 and 11 new journals appear in these years, respec￾tively. In particular, 14 out of 19 new journals in year 2020, are “Open Journal of” designating a strong the transition to the open access model3 . The Appendix contains a detailed presen￾tation of the new titles for these years. Apart from this, we can not see any other strong pattern in the newly established … view at source ↗
Figure 9
Figure 9. Figure 9: Birth distribution of IEEE journals. 0 1 2 1980 1992 1994 2000 2002 2005 2006 2008 2015 2017 2018 2019 2020 2022 Number IEEE periodicals discontinued Discontinuation year IEEE magazines IEEE journals view at source ↗
Figure 11
Figure 11. Figure 11: Distance distribution based on Jaccard coefficient view at source ↗
Figure 12
Figure 12. Figure 12: Distance distribution based on Dice coefficient for view at source ↗
Figure 14
Figure 14. Figure 14: Distance distribution based on Dice coefficient for view at source ↗
Figure 13
Figure 13. Figure 13: Distance distribution based on Jaccard coefficient view at source ↗
read the original abstract

ACM and IEEE are the two premier associations on computing and electrical/electronics engineering which publish and organize the great majority of periodicals and conferences, respectively, serving these disciplines. Science is a constantly evolving process, and these publication fora are expected to follow the trends. In this article, we focus on the periodicals published by the two associations and seek to detect and/or confirm any contemporary science trends as these are reflected to the periodical titles established recently. Our study is rather qualitative than quantitative, aiming at revealing patterns immediately comprehensible and validatable by the reader. Among the most notable patterns, we see a growing preference of both associations for the open access mode of publication; we also observe ACM's orientation toward AI-focused periodicals, and most importantly, a significant theme overlap among periodicals of the same association and this is valid for both ACM and IEEE.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 1 minor

Summary. The manuscript offers a qualitative examination of recent ACM and IEEE periodicals, seeking to identify contemporary trends in computing and electrical engineering as reflected in their titles. It reports a growing preference for open-access publication by both associations, ACM's orientation toward AI-focused periodicals, and significant thematic overlap among periodicals within each association.

Significance. If the title-based interpretations are valid, the work supplies an accessible, reader-friendly snapshot of publication venue evolution and potential thematic redundancies in core computing associations. Its strength lies in prioritizing immediately comprehensible patterns over quantitative metrics, which could help researchers and editors quickly gauge field directions and open-access shifts.

major comments (1)
  1. Abstract: The central claim of 'a significant theme overlap among periodicals of the same association' (described as 'most importantly') is asserted without listing any specific recent titles, providing concrete examples of overlapping themes, or describing how lexical similarity in titles was assessed as thematic duplication. Because the study is explicitly qualitative and title-driven, this omission leaves the primary observation ungrounded and difficult to validate independently.
minor comments (1)
  1. The abstract refers to 'periodical titles established recently' but supplies no time window, total count of periodicals examined, or sampling method, which would strengthen the context for the reported patterns.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their constructive feedback, which highlights opportunities to strengthen the grounding of our qualitative observations. We address the major comment below and will revise the manuscript accordingly.

read point-by-point responses

  1. Referee: Abstract: The central claim of 'a significant theme overlap among periodicals of the same association' (described as 'most importantly') is asserted without listing any specific recent titles, providing concrete examples of overlapping themes, or describing how lexical similarity in titles was assessed as thematic duplication. Because the study is explicitly qualitative and title-driven, this omission leaves the primary observation ungrounded and difficult to validate independently.

    Authors: We agree that the abstract would benefit from added specificity to make the central claim more immediately verifiable. Our study is qualitative and relies on direct manual inspection of titles rather than any quantitative lexical similarity metric or automated duplication assessment; we will clarify this distinction explicitly. In the revised version we will incorporate concrete examples of recent overlapping themes (e.g., multiple ACM titles centered on AI sub-areas and parallel IEEE titles addressing related electronics or systems topics) directly into the abstract and will add a brief illustrative paragraph early in the main text. revision: yes

Circularity Check

0 steps flagged

No significant circularity: purely qualitative observational study with no derivations, fits, or self-referential reductions

full rationale

The paper conducts a qualitative review of ACM and IEEE periodical titles to note patterns such as open-access growth, ACM's AI focus, and intra-association theme overlaps. No equations, parameters, predictions, or derivations appear anywhere in the text. Claims are presented as direct, reader-validatable observations from titles rather than outputs computed from inputs. There are no self-citations supporting load-bearing premises, no uniqueness theorems, no ansatzes smuggled via prior work, and no renaming of known results as new unifications. The reasoning chain is self-contained and non-reductive; the central claims do not collapse to definitions or fits by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model, free parameters, axioms, or invented entities are introduced; the work consists of qualitative pattern spotting from titles.

pith-pipeline@v0.9.0 · 5447 in / 1025 out tokens · 52126 ms · 2026-05-07T13:46:57.010335+00:00 · methodology

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Reference graph

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