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the claim
Average publication rates vary predictably across different academic career stages.
the verdict
INSUFFICIENT LEANING
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the weight of evidence
3 sources for · 0 against

Available studies partially indicate that publication productivity metrics correlate with academic rank, career duration, and early career milestones, but comprehensive data specifically tracking predictable average publication rate variations across all career stages are not fully established by this evidence.

Evidence for · 3
2020 · cited by 73
AbstractThis study addresses stratification in the global higher education research community and the changing geography of country affiliations in six elite journals. The distribution of country affiliations is analyzed from a longitudinal perspective (1996–2018), and full-time and part-time authors in the field are contrasted. The prestige maximization model and principal-agent theory provide the theoretical framework for the study, which examines 6334 articles published in six elite journals in the context of 21,442 articles in 41 core journals. The findings indicate that about 3.3% of academics have authored at least five articles (full-timers). These authors constitute the publishing core of the research community, while the 80% who have authored one article (part-timers) constitute its periphery.Higher Education(HE) andStudies in Higher Education(SHE) emerge as elite global journals, with an increasing share of non-Anglo-Saxon authors. Previously globally invisible countries became visible almost exclusively through HE and SHE. Global trends include the diminishing role of American researchers and the increasing role of researchers from Continental Europe, East Asia, and the cluster of 66 “other” countries. The single biggest affiliation loser is the United States, which had 42.5% of country affiliations in 1996–2003 but only 26.9% in 2012–2018. This reflects both the increasing share of non-American affiliations and the increasing yearly volume of HE and SHE publications, in which US academics tend not to publish massively. The two pivotal components of every science system, academic careers and resource allocation, are increasingly subject to publication-based evaluation, and policymakers have been emphasizing the impact of publications, usually operationalized through the journal impact factor (see the development of impact-oriented science policies in Shibayama and Baba 2015 ). Therefore, academics of all ranks determine their publication destination “strategically,” as indicated by a study of Japanese biology professors: It is essential for individual academics to improve publication metrics constantly to survive career filters throughout all career stages. In European countries with more competitive career structures and award and recognition systems, highly cited publications are increasingly important in personnel and funding decisions (Kwiek 2018c ). A large-scale global survey of academics in 21 countries resulted in similar conclusions, finding that more peripheral systems in the sample (e.g., Poland, Romania, Malaysia, Hong Kong, South Korea, and New Zealand) were heavily involved in various versions of performance-based research funding, with a research focus on hiring, promotion, and tenure systems (Shin et al. 2014 ). Elite journals and academic disciplines Empirical studies show that publication in elite journals remains the key determinant of scientific recognition in many disciplines. In the field of economics, for example, “publishing in T5 (top five journals) is the most effective means of improving one’s chances of obtaining tenure in all of the top 35 U.S. economics departments” (Heckman and Moktan 2018 : 6). Increasingly, the recognition In mathematics, top journal publications during the first four years of an individual’s academic career are the most important predictor of future research achievement (Lindahl 2018 : 531). A recent study of external assessment reports used for recruitment in four Swedish universities in biomedicine, economics, and history shows that the ability to publish in top journals is the most important evaluation criterion of careers in the first two fields, and top journals are mentioned in almost all reports and are often a clearly decisive factor. They maximize their individual productivity and competitive performance in three areas: top publications, grant funding, and citations—as internationally accepted and transferable tokens of academic quality. In their highly competitive environment, “failure to produce results that can be transformed into publications or grant money cannot be compensated, and equals career failure” (Fochler et al. 2016 : 196). Across Europe, expectations to publish in top journals are standard in national research funding agencies (Lyytinen et al. 2007 ), and they are an absolute must in the European Research Council (Rodríguez-Navarro and Brito 2019 ). Publication in elite journals and funding from prestigious agencies are crucial components of this credibility cycle (which refers to all academic cohorts; see Cruz-Castro and Sanz-Menéndes 2010 , who study the relationship between performance and rewards for early career researchers). Publication in top-tier journals increases European scientists’ chances of securing an academic position, moving up the career ladder more rapidly, attracting external funding, and becoming part of the well-networked global scientific elite. The theory of academic capitalism posits that Anglo-Saxon research-intensive universities reorient themselves to win this game (Taylor et al. 2016 ); research commonly takes priority over instruction, and the increase in public research funding further consolidates the prestige economy (Rosinger et al. 2016 ; Kandiko Howson et al. 2018 ). Across the world, national, institutional, and departmental policies, as well as research assessment exercises, prioritize publication in prestigious journals. Moreover, regular spot checks are run on aspects of author profiles, such as canonical names or affiliations.” Publications in author profiles have an average precision (i.e., ratio of publications correctly assigned to the author) of 98.1%, and the average recall, or the ratio of publications captured, is 94.4%. It is assumed in this study that the Scopus database fits research purposes well, following van den Besselaar and Sandström’s ( 2016 ) idea that different projects require different levels of data cleaning and disambiguation.
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More for · 2
2020 · cited by 22
Women are notably underrepresented in the academic sciences. Psychology is a pertinent case study of gender inequality in science, because women make up over three quarters of undergraduate and graduate students but only a third of all full professors. Here, publication records from 125 high-impact, peer-reviewed psychology journals are analyzed to describe nuanced patterns about how men and women contribute to research psychology. To determine gender, we classified over 750,000 authors on 200,000 unique publications by comparing the 1st name of each author to openly available census data. The data replicate previous reports of publication and citation gender gaps in psychology and significantly extend these results by showing that these gaps are persistent across subdiscipline and time but are mediated by various contextual factors. For example, although the size of the publication and citation gaps are not explained by the university affiliation of the authors' and frequency of coauthorship, the gaps are larger in high-impact journals and at the last-author position. These patterns have remained largely unchanged since at least 2003. These results provide a detailed look at the variety of factors contributing to the differences in how men and women publish in research psychology and provide free and openly available tools for assessing publication and citation differences across time, journals, and other academic disciplines. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
2025 · cited by 1
Strengthening the research workforce is essential for meeting the evolving needs and challenges in the health and biomedical fields. To do so effectively, it requires an understanding of how the experiences of a researcher shift over time and how one's research career evolves, particularly as supports are put in place to foster research. This narrative review provides a summary of published individual-level assessment measures and survey tools from 2000-2024. All measures were abstracted, classified, and coded during analyses to describe the areas of focus, and they were organized into one of six research categories. The review identified a range of measures and methods across all categories. However, the measures were often narrow, focused on outputs, and not ideal for assessing the full range of experiences a researcher may have throughout their career. The most common metrics were related to research productivity and bibliometric measures. Our review of survey tools revealed a gap in comprehensive approaches available to assess an individual's research experience, efforts, supports, and impact. As efforts expand to evaluate and study the research workforce, tools that focus on a broad range of individual-level measures, tied to specific underlying constructs and drawn from the literature, may prove useful. The JIF is another common approach that has been used to explore publications. Journals with high impact numbers have been used as a vehicle to secure grants, tenure, and raise awareness of translational research [ 49 ]. Using the JIF along with the h-index (described below) is useful in assessing an individual researcher’s impact across their career trajectory. Of note is the current movement away from the JIF, instead promoting a more comprehensive assessment of research quality that goes beyond the basic reliance on the influence of the journal in which the studies are published and looks at the merits of the individual studies. These measures largely focus on productivity by exploring an individual’s cumulative publication and citation record using different assumptions and algorithms. Table 1. Bibliometric measure Year Authors(s) Name of Measure Type of Measure Definition or Focus 1997 Huettner et al . [ 33 ] Research Productivity Measures of an Academic Department Organizational-level An economic model of research productivity based on the supply and demand of journals, with the following criteria: 1) annual journal publications per faculty, 2) acceptance rates in top five journals, 3) number of authors per article, 4) equivalent pages per article and per author/per year, 5) average size of NSF grant awards, 6) number of subscribers to top 5 discipline-based journals. [ 37 ] Scholarly Productivity Individual & Organizational- level Defined as the number of publications, number of citations, and h -index of individual academic staff members; aggregated by academic institution for organizational productivity measure. 2016 Hutchins et al . [ 53 ] Relative citation ratio (RCR) Individual-level Article-level calculation to show the field- and time-normalized citation rate, benchmarked to 1.0 for a typical (median) NIH paper in the corresponding year of publication. Fields are defined for each article by using its co-citation network. 2016 Walters G. [ 43 ] Category Normalized Citation Impact (CNCI) Individual & Organizational-level Calculated by dividing the actual count of citing items by the expected citation rate for documents with the same document type, year of publication and subject area. 2021 Bautista-Puig et al . [ 28 ] Scientific Output and Productivity; Visibility Organizational-level To quantify the impact of researchers’ financial bonuses on scientific output over time. Calculated by the total number of publications and the cumulative average growth rate. Productivity is defined as the ratio between number of researchers and number of documents. Visibility is the number of publications listed in Journal Citation Reports in first quartile journals pre- and post-bonus. 2022 Paul et al . [ 39 ] Research Productivity by Discipline Individual & Organizational-level To measure research productivity of marketing scholars and marketing departments. Two metrics are used: total number of publications across 4 top-tier journals in the field and a fractional publication score which includes a ranked author order. 2022 Lai et al . [ 34 ] Research Performance: 1. Average SJRs (SCImago Journal Ranks), 2. Lifetime Citations, 3. Lifetime First Author Publications Individual-level To measure lifetime bibliometric research performance norms of academic psychologists in the UK. 1. Average SCImago Journal Ranks is defined as the average number of weighted citations received during a selected year per document published in that journal during the previous three years. 2. Lifetime citations is the total number of citations accumulated within a given time span. 3. Lifetime first author publications is the sub-set of lifetime Scopus publications for which the academic researcher was listed as the first author. In their narrative review on measuring research impact, Greenhalgh and colleagues [ 124 ] conclude that there is not one standard method for measuring research impact; different purposes require different approaches. One common approach for assessing clinical and translational research impacts is the Translational Science Benefits Model with over 50 publications in PubMed citing this While these are commonly used, they may not fully encompass the complexities of a researcher’s career trajectory or success. Publications, often measured by total counts and citations, may be foundational to many assessments of academic achievement, but they fail to account for the quality of the research, individual contributions, engagement of the community, or the broader influences or impact of the work. In addition, reliance on bibliometric data may result in valuing quantity over quality.
Everything we examined (3)
This check searched the claim as stated. It did not run a separate search for evidence against it.
  1. Approaches and tools to measure individual-level research experience, activities, and outcomes: A narrative review.peer-reviewedno side taken
  2. The publication gender gap in psychology.peer-reviewedno side taken
  3. The prestige economy of higher education journals: a quantitative approachreferenceno side taken
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