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相关论文: Uncertain research country rankings. Should we con…

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Purpose: Analyze the diversity of citation distributions to publications in different research topics to investigate the accuracy of size-independent, rank-based indicators. Top percentile-based indicators are the most common indicators of…

数字图书馆 · 计算机科学 2024-07-15 Alonso Rodríguez-Navarro

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…

数字图书馆 · 计算机科学 2022-11-29 Alonso Rodriguez-Navarro , Ricardo Brito

A number of indications, such as the number of Nobel Prize winners, show Japan to be a scientifically advanced country. However, standard bibliometric indicators place Japan as a scientifically developing country. The present study is based…

数字图书馆 · 计算机科学 2023-04-20 Alonso Rodriguez-Navarro , Ricardo Brito

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…

数字图书馆 · 计算机科学 2018-07-20 Alonso Rodriguez-Navarro , Ricardo Brito

The research assessments of countries or institutions should reveal their contribution to the advancement of science. Taking into consideration the correlation that exists between scientific impact and number of citations, research…

数字图书馆 · 计算机科学 2021-05-04 Alonso Rodriguez-Navarro

In the double rank analysis of research publications, the local rank position of a country or institution publication is expressed as a function of the world rank position. Excluding some highly or lowly cited publications, the double rank…

数字图书馆 · 计算机科学 2018-02-07 Ricardo Brito , Alonso Rodriguez-Navarro

We have studied the efficiency of research in the EU by a percentile-based citation approach that analyzes the distribution of country papers among the world papers. Going up in the citation scale, the frequency of papers from efficient…

数字图书馆 · 计算机科学 2018-06-28 Alonso Rodriguez-Navarro , Ricardo Brito

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…

数字图书馆 · 计算机科学 2023-09-27 Alonso Rodriguez-Navarro , Ricardo Brito

We studied the research performance of 69 countries by considering two different types of new knowledge: incremental (normal) and fundamental (radical). In principle, these two types of new knowledge should be assessed at two very different…

数字图书馆 · 计算机科学 2021-12-30 Alonso Rodriguez-Navarro , Ricardo Brito

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,…

数字图书馆 · 计算机科学 2011-06-21 Loet Leydesdorff , Lutz Bornmann , Rüdiger Mutz , Tobias Opthof

The Leiden Rankings can be used for grouping research universities by considering universities which are not statistically significantly different as homogeneous sets. The groups and intergroup relations can be analyzed and visualized using…

数字图书馆 · 计算机科学 2018-10-16 Loet Leydesdorff , Lutz Bornmann , John Mingers

Nations can be distinguished in terms of whether domestic or international research is cited. We analyzed the research output in natural sciences of three leading European research economies (Germany, the Netherlands, and the UK) and ask…

数字图书馆 · 计算机科学 2018-07-27 Lutz Bornmann , Jonathan Adams , Loet Leydesdorff

Assessing research that pushes the boundaries of knowledge is challenging because such work is extremely infrequent, accounting for only about 0.01 per cent of all research outputs. Consequently, knowledge about how to evaluate this type of…

数字图书馆 · 计算机科学 2026-05-19 Alonso Rodriguez-Navarro

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…

应用统计 · 统计学 2012-06-11 Lutz Bornmann

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,…

数字图书馆 · 计算机科学 2020-05-04 Lutz Bornmann , Richard Williams

This study explores the citation diversity in scholarly literature, analyzing different patterns of citations observed within different countries and academic disciplines. We examine citation distributions across top institutions within…

物理与社会 · 物理学 2025-08-26 Suchismita Banerjee , Abhik Ghosh , Banasri Basu

A desirable goal of scientific management is to introduce, if it exists, a simple and reliable way to measure the scientific excellence of publicly-funded research institutions and universities to serve as a basis for their ranking and…

应用统计 · 统计学 2014-09-23 O. Mryglod , R. Kenna , Yu. Holovatch , B. Berche

In our chapter we address the statistical analysis of percentiles: How should the citation impact of institutions be compared? In educational and psychological testing, percentiles are already used widely as a standard to evaluate an…

数字图书馆 · 计算机科学 2014-04-16 Richard Williams , Lutz Bornmann

The work applies the funnel plot methodology to measure and visualize uncertainty in the research performance of Italian universities in the science disciplines. The performance assessment is carried out at both discipline and overall…

数字图书馆 · 计算机科学 2018-10-31 Giovanni Abramo , Ciriaco Andrea D'Angelo , Leonardo Grilli

Purpose: We address the question of whether differences are statistically significant in the rankings of universities. We propose methods measuring the statistical significance among different universities and illustrate the results by…

数字图书馆 · 计算机科学 2020-11-18 Loet Leydesdorff , Caroline S. Wagner , Lin Zhang
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