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Related papers: Expected values in percentile indicators

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Bibliometric indicators can be determined by comparing specific citation records with the percentiles of a reference set. However, there exists an ambiguity in the computation of percentiles because usually a significant number of papers…

Digital Libraries · Computer Science 2013-11-27 Michael Schreiber

Percentiles are statistics pointing to the standing of a paper's citation impact relative to other papers in a given citation distribution. Percentile Ranks (PRs) often play an important role in evaluating the impact of scholars,…

Digital Libraries · Computer Science 2020-05-04 Lutz Bornmann , Richard Williams

In an article written five years ago [arXiv:0809.0522], we described a method for predicting which scientific papers will be highly cited in the future, even if they are currently not highly cited. Applying the method to real citation data…

Physics and Society · Physics 2014-02-06 M. E. J. Newman

A percentile-based bibliometric indicator is an indicator that values publications based on their position within the citation distribution of their field. The most straightforward percentile-based indicator is the proportion of frequently…

Digital Libraries · Computer Science 2013-03-01 Ludo Waltman , Michael Schreiber

As the subject of research excellence has received increasing attention (in science policy) over the last few decades, increasing numbers of bibliometric studies have been published dealing with excellent papers. However, many different…

Digital Libraries · Computer Science 2014-01-24 Lutz Bornmann

Although not explicitly declared, most research rankings of countries and institutions are supposed to reveal their contribution to the advancement of knowledge. However, such advances are based on very highly cited publications with very…

Digital Libraries · Computer Science 2022-11-29 Alonso Rodriguez-Navarro , Ricardo Brito

The top 1 percent most highly cited articles are watched closely as the vanguards of the sciences. Using Web of Science data, one can find that China had overtaken the USA in the relative participation in the top 1 percent in 2019, after…

Digital Libraries · Computer Science 2022-02-03 Caroline S. Wagner , Lin Zhang , Loet Leydesdorff

We conducted a large-scale analysis of around 10,000 scientific articles, from the period 2007-2016, to study the bibliometric or formal aspects influencing citations. A transversal analysis was conducted disaggregating the articles into…

Digital Libraries · Computer Science 2018-04-30 Pablo Dorta-González , Yolanda Santana-Jiménez

h-index has become the most popular indicator for quantifying a scientist's scientific impact in various scientific fields. h-index is defined as the largest number of papers with citation number larger than or equal to h and it treats each…

Digital Libraries · Computer Science 2014-05-06 Xiaojun Wan

The Leiden Ranking 2011/2012 provides the Proportion top-10% publications (PP top 10%) as a new indicator. This indicator allows for testing the difference between two ranks for statistical significance.

Computers and Society · Computer Science 2011-12-20 Loet Leydesdorff , Lutz Bornmann

Fractional scoring has been proposed to avoid inconsistencies in the attribution of publications to percentile rank classes. Uncertainties and ambiguities in the evaluation of percentile ranks can be demonstrated most easily with small…

Digital Libraries · Computer Science 2013-03-25 Michael Schreiber

According to current research in bibliometrics, percentiles (or percentile rank classes) are the most suitable method for normalising the citation counts of individual publications in terms of the subject area, the document type and the…

Applications · Statistics 2012-06-11 Lutz Bornmann

Citation prediction of scholarly papers is of great significance in guiding funding allocations, recruitment decisions, and rewards. However, little is known about how citation patterns evolve over time. By exploring the inherent involution…

Digital Libraries · Computer Science 2020-08-13 Xiaomei Bai , Fuli Zhang , Ivan Lee

In research policy, effective measures that lead to improvements in the generation of knowledge must be based on reliable methods of research assessment, but for many countries and institutions this is not the case. Publication and citation…

Digital Libraries · Computer Science 2018-07-20 Alonso Rodriguez-Navarro , Ricardo Brito

The accuracy of published medical research is critical both for scientists, physicians and patients who rely on these results. But the fundamental belief in the medical literature was called into serious question by a paper suggesting most…

Applications · Statistics 2013-01-17 Leah R. Jager , Jeffrey T. Leek

We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are-as a rule-highly skewed and should not be arithmetically averaged. With percentile ranks,…

Digital Libraries · Computer Science 2011-06-21 Loet Leydesdorff , Lutz Bornmann , Rüdiger Mutz , Tobias Opthof

Citation metrics are the best tools for research assessments. However, current metrics may be misleading in research systems that pursue simultaneously different goals, such as the advance of science and incremental innovations, because…

Digital Libraries · Computer Science 2023-09-27 Alonso Rodriguez-Navarro , Ricardo Brito

How do author perceptions match up to the outcomes of the peer-review process and perceptions of others? In a top-tier computer science conference (NeurIPS 2021) with more than 23,000 submitting authors and 9,000 submitted papers, we survey…

Journal Impact Factors (IFs) can be considered historically as the first attempt to normalize citation distributions by using averages over two years. However, it has been recognized that citation distributions vary among fields of science…

Digital Libraries · Computer Science 2012-02-07 Loet Leydesdorff

A widely used measure of scientific impact is citations. However, due to their heavy-tailed distribution, citations are fundamentally difficult to predict. Instead, to characterize scientific impact, we address two analogous questions asked…

Digital Libraries · Computer Science 2016-11-17 Yuxiao Dong , Reid A. Johnson , Nitesh V. Chawla
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