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arxiv: 2605.16340 · v1 · pith:CVTFCISSnew · submitted 2026-05-07 · 💻 cs.DL

Success in Science: How Global Prestige Organizes Careers

Marek Kwiek , Wojciech Roszka This is my paper

Pith reviewed 2026-05-20 23:07 UTC · model grok-4.3

classification 💻 cs.DL
keywords academic successpublication prestigeinternational journalsPolish scientistsbibliometric datanetwork analysisfactor analysiscareer structure
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The pith

Publishing in top international journals forms the core of what Polish scientists perceive as academic success.

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

The paper combines survey data from 10,848 Polish scientists with their individual Scopus records to examine how success is structured. It identifies academic success as multidimensional yet centered on a single core: global publication prestige. Top international journals emerge as the most central node in network models, strongly linked to citations and international collaboration. National journal publications sit at the periphery. The overall pattern shows success defined through the hierarchy of international outlets rather than local ones.

Core claim

Academic success is multidimensional, with a clear core. This core is global publication prestige. Publishing in top international journals is the node with the highest centrality, and it is connected to other career dimensions, such as citations and international collaboration. Publications in top national journals, in contrast, are peripheral. The threshold structure of the scale indicates a selection effect. The definition of success is globally oriented and strongly tied to the hierarchy of international journals.

What carries the argument

Network modeling with EBICglasso on polychoric correlations of survey items and bibliometric indicators, which isolates global journal prestige as the highest-centrality node linking other success dimensions.

If this is right

  • International collaboration and citation counts gain importance primarily through their connection to the international prestige core.
  • National journal outputs receive lower weight in the overall success structure.
  • Success thresholds appear once scientists cross into top international publication outlets.
  • Career evaluation systems that emphasize global journals align with the reported perceptions of success.

Where Pith is reading between the lines

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

  • Scientists in other non-English-speaking countries may show similar patterns if their local journal systems are weaker than international ones.
  • Early career focus on international outlets could create path dependence in later success measures.
  • Policies that expand access to top journals might shift success perceptions faster than changes in citation or collaboration norms.
  • The model suggests testing whether removing self-report biases alters the centrality ranking of international prestige.

Load-bearing premise

The Polish survey responses combined with Scopus records accurately reflect a general structure of perceived success rather than one shaped mainly by regional language, funding, or self-reporting biases.

What would settle it

Repeating the survey and network analysis in a country where national journals hold high prestige and finding that those national outlets show higher centrality than international ones would undermine the claim of a global core.

Figures

Figures reproduced from arXiv: 2605.16340 by Marek Kwiek, Wojciech Roszka.

Figure 1
Figure 1. Figure 1: Polychoric correlations among success dimensions in a multidimensional perspective Correlations between the factors are moderate (r ≈ 0.30–0.45). This confirms that the success dimensions are related. However, they do not reduce to a common latent construct [PITH_FULL_IMAGE:figures/full_fig_p008_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: shows strength centrality in the partial correlation network. In this network, links between pairs of dimensions are estimated while controlling for all other dimensions. Therefore, we can identify direct relationships and reduce the influence of indirect associations. Strength centrality is the sum of the strengths of a given dimension’s direct connections with the rest of the system. The highest centrali… view at source ↗
Figure 4
Figure 4. Figure 4: Partial correlation network of success dimensions (EBICglasso); node colors indicate EFA factor membership [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Partial correlation network (EBICglasso) The MDS map (see [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Multidimensional scaling map Our analyses demonstrate that academic success is perceived as a multidimensional phenomenon. Polychoric correlations between the dimensions are mostly positive but moderate (ρ ≈ 0.20–0.60). We do not observe very strong correlations (ρ > 0.70). This means that the different aspects of success are related. However, they are not substitutes for a single measure. Respondents view… view at source ↗
Figure 7
Figure 7. Figure 7: Bivariate relationships between success dimensions and single categorical predictors Among numeric predictors, the strongest and most consistent relationships concern internationalization and the intensity of research activity. The international collaboration rate is positively correlated with most international dimensions of success. Spearman’s coefficients are usually moderate (ρ ≈ 0.30– 0.40). The numbe… view at source ↗
Figure 8
Figure 8. Figure 8: Relationships between success dimensions and single numeric predictors Relationships between categorical predictors and factor scores (see [PITH_FULL_IMAGE:figures/full_fig_p015_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Relationships between single categorical predictors and factor scores from exploratory factor analysis For numeric predictors (see [PITH_FULL_IMAGE:figures/full_fig_p016_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Links between quantitative predictors and factor scores from exploratory factor analysis [PITH_FULL_IMAGE:figures/full_fig_p016_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Threshold dynamics of perceived success: odds ratios (95% CI) comparing high (≥4) vs. elite (=5) success definitions in binary GLMMs 4.5. Robustness analyses: binary definitions of success To test the robustness of the results, we used two binary definitions of success. In the first, the dependent variable meant a high rating (≥4), and in the second, it meant only the highest rating (=5). We estimated bot… view at source ↗
read the original abstract

This article analyzes the structure of perceived academic success. We combine survey data from 10,848 Polish scientists with their Scopus bibliometric data at the individual level. We use polychoric correlations, exploratory factor analysis, network modeling (EBICglasso), and generalized linear mixed models in ordinal and binary forms. Our results show that academic success is multidimensional, with a clear core. This core is global publication prestige. Publishing in top international journals is the node with the highest centrality, and it is connected to other career dimensions, such as citations and international collaboration. Publications in top national journals, in contrast, are peripheral. The threshold structure of the scale indicates a selection effect. The definition of success is globally oriented and strongly tied to the hierarchy of international journals.

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

2 major / 2 minor

Summary. The manuscript analyzes the structure of perceived academic success by combining survey responses from 10,848 Polish scientists with their individual Scopus bibliometric records. Using polychoric correlations, exploratory factor analysis, EBICglasso network modeling, and ordinal and binary generalized linear mixed models, the authors conclude that academic success is multidimensional with a core centered on global publication prestige, where publishing in top international journals exhibits the highest network centrality and connects to dimensions like citations and international collaboration, while top national journals are peripheral. The threshold structure suggests a selection effect, and success is described as globally oriented and tied to the international journal hierarchy.

Significance. If the central claim holds, the paper contributes to the science of science by providing an empirical mapping of how different dimensions of academic success interrelate in a large sample, highlighting the organizing role of international prestige. The linkage of survey data with bibliometric records and the application of complementary methods including network analysis are strengths that allow for a data-driven view of perceived success structures.

major comments (2)
  1. The central claim that global publication prestige forms the core of academic success with highest centrality in the EBICglasso network is based exclusively on responses from Polish scientists. Poland's parametric evaluation system, which assigns substantial weight to JCR/Scopus-indexed international journals for funding and promotion, creates a plausible confound that may drive the observed node centrality and connections to citations/collaboration without reflecting a cross-national pattern. This issue is load-bearing for the interpretation of the structure as generally applicable rather than context-specific.
  2. The Results section on network modeling reports top international journals as the highest-centrality node but provides no robustness checks against alternative estimation procedures or sensitivity analyses that isolate the effect of national incentive structures. Without such tests, the claim that this node is the 'core' remains vulnerable to the single-country sampling frame.
minor comments (2)
  1. The abstract and Methods section would benefit from explicit statements on missing data handling, sample representativeness checks, and reported effect sizes for the GLMMs to allow readers to assess the strength of the ordinal and binary model results.
  2. Figure captions for the EBICglasso network diagram should include node labels and edge weights for direct interpretability without reference to the main text.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for the detailed and constructive comments on our manuscript. We address each major comment below, clarifying the scope of our claims and describing revisions made to strengthen the presentation of limitations and robustness.

read point-by-point responses

  1. Referee: The central claim that global publication prestige forms the core of academic success with highest centrality in the EBICglasso network is based exclusively on responses from Polish scientists. Poland's parametric evaluation system, which assigns substantial weight to JCR/Scopus-indexed international journals for funding and promotion, creates a plausible confound that may drive the observed node centrality and connections to citations/collaboration without reflecting a cross-national pattern. This issue is load-bearing for the interpretation of the structure as generally applicable rather than context-specific.

    Authors: We agree that the sample is restricted to Polish scientists and that the national parametric evaluation system, which heavily weights publications in indexed international journals, is a relevant contextual factor that likely influences how success is perceived. The manuscript examines the structure of perceived success within this specific setting rather than claiming cross-national universality. The finding that top international journals exhibit the highest centrality while top national journals are peripheral is consistent with the system's incentives aligning with global hierarchies. In the revised manuscript we have expanded the Discussion to explicitly address the role of national evaluation policies and to qualify the generalizability of the observed structure. revision: yes

  2. Referee: The Results section on network modeling reports top international journals as the highest-centrality node but provides no robustness checks against alternative estimation procedures or sensitivity analyses that isolate the effect of national incentive structures. Without such tests, the claim that this node is the 'core' remains vulnerable to the single-country sampling frame.

    Authors: We accept that additional robustness checks would increase confidence in the network results. We have added sensitivity analyses to the revised Results section, including EBICglasso models with varied gamma parameters and comparisons against alternative network estimation approaches; these confirm the central position of global publication prestige. Fully isolating the contribution of Poland's specific incentive structure, however, would require comparative data from countries with different evaluation systems, which lies beyond the present study. revision: partial

standing simulated objections not resolved
  • The potential confounding role of Poland's parametric evaluation system cannot be fully separated from a more general pattern without multi-country comparative data.

Circularity Check

0 steps flagged

No circularity: empirical claims derived from primary survey and bibliometric data

full rationale

This paper is a primary-data empirical study that links survey responses from 10,848 Polish scientists to their individual Scopus records and applies standard statistical procedures (polychoric correlations, EFA, EBICglasso network modeling, and GLMMs). The central result—that global publication prestige exhibits the highest node centrality and organizes other career dimensions—emerges directly from the topology and correlations computed on the collected observations. No equation, parameter fit, or network edge is defined in terms of the target claim itself, no self-citation supplies a load-bearing uniqueness theorem, and no ansatz is smuggled in. The derivation chain is therefore self-contained against the external benchmark of the authors' own dataset and does not reduce to its inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The analysis rests on standard statistical assumptions for survey and network methods plus the validity of self-reported perceptions matched to bibliometric records; no new entities or ad-hoc parameters are introduced in the abstract.

axioms (2)
  • domain assumption Survey responses from Polish scientists accurately reflect perceived academic success dimensions
    Central to combining subjective survey data with objective bibliometric records
  • domain assumption EBICglasso network modeling and exploratory factor analysis appropriately recover the latent structure of success
    Invoked to identify the core node and peripheral dimensions

pith-pipeline@v0.9.0 · 5648 in / 1292 out tokens · 61876 ms · 2026-05-20T23:07:51.396827+00:00 · methodology

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Reference graph

Works this paper leans on

2 extracted references · 2 canonical work pages

  1. [1]

    https://doi.org/10.1093/reseval/rvv038 de Solla Price, D. (1963). Little science, big science. Columbia University Press. DiPrete, T. A., & Eirich, G. M. (2006). Cumulative advantage as a mechanism for inequality: A review of theoretical and empirical developments. Annual Review of Sociology, 32, 271–297. https://doi.org/10.1146/annurev.soc.32.061604.1231...

    work page doi:10.1093/reseval/rvv038 1963

  2. [2]

    https://doi.org/10.1093/sf/71.1.159 Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323. Marginson, S. (2022). What is global higher education? Oxford Review of Education, 48(4), 492–517. https://doi.org/10.1080/03054985.2022.2061438 30 McKelvey, R., & Zavoina, W. (1975...

    work page doi:10.1093/sf/71.1.159 1926