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Related papers: Ranking scientists

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The contribution to pushing the boundaries of knowledge is a critical metric for evaluating the research performance of countries and institutions, which in many cases is not revealed by common bibliometric indicators. The Rk-index was…

Digital Libraries · Computer Science 2024-11-28 Alonso Rodriguez-Navarro

Modern management of research is increasingly based on quantitative bibliometric indices. Nowadays, the h-index is a major measure of research output that has supplanted all other citation-based indices. In this context, indicators that…

Digital Libraries · Computer Science 2017-10-06 M. Adda-Bedia , F. Lechenault

Entity rankings (e.g., institutions, journals) are a core component of academia and related industries. Existing approaches to institutional rankings have relied on a variety of data sources, and approaches to computing outcomes, but remain…

Digital Libraries · Computer Science 2025-04-08 Sean C. Rife , Joshua M. Nicholson , Beatriz Bosques , Domenic Rosati , Ashish Uppala , Igor A. Osipov

Scientific evaluation is a determinant of how scientists, institutions and funders behave, and as such is a key element in the making of science. In this article, we propose an alternative to the current norm of evaluating research with…

Digital Libraries · Computer Science 2017-01-30 Michaël Bon , Michael Taylor , Gary S. McDowell

The two most used citation impact indicators in the assessment of scientific journals are, nowadays, the impact factor and the h-index. However, both indicators are not field normalized (vary heavily depending on the scientific category)…

Digital Libraries · Computer Science 2015-10-14 Sara M. Gonzalez-Betancor , Pablo Dorta-Gonzalez

The h-index has been shown to have predictive power. Here I report results of an empirical study showing that the increase of the h-index with time often depends for a long time on citations to rather old publications. This inert behavior…

Physics and Society · Physics 2013-02-06 Michael Schreiber

Estimating the dependences between random variables, and ranking them accordingly, is a prevalent problem in machine learning. Pursuing frequentist and information-theoretic approaches, we first show that the p-value and the mutual…

Machine Learning · Computer Science 2012-07-02 Harald Steck

Scientific impact plays a central role in the evaluation of the output of scholars, departments, and institutions. A widely used measure of scientific impact is citations, with a growing body of literature focused on predicting the number…

Social and Information Networks · Computer Science 2014-12-16 Yuxiao Dong , Reid A. Johnson , Nitesh V. Chawla

Evaluating and comparing the academic performance of a journal, a researcher or a single paper has long remained a critical, necessary but also controversial issue. Most of existing metrics invalidate comparison across different fields of…

Digital Libraries · Computer Science 2014-12-30 Tiancheng Li

Science is becoming increasingly more interdisciplinary, giving rise to more diversity in the areas of expertise within research labs and groups. This also have brought changes to the role researchers in scientific works. As a consequence,…

Digital Libraries · Computer Science 2017-03-31 Edilson A. Corrêa , Filipi N. Silva , Luciano da F. Costa , Diego R. Amancio

Over the past decades, researchers had put lots of effort investigating ranking techniques used to rank query results retrieved during information retrieval, or to rank the recommended products in recommender systems. In this project, we…

Information Retrieval · Computer Science 2022-08-23 Jiashu Wu

In practice, a ranking of objects with respect to given set of criteria is of considerable importance. However, due to lack of knowledge, information of time pressure, decision makers might not be able to provide a (crisp) ranking of…

Artificial Intelligence · Computer Science 2017-03-16 Jiří Mazurek

We define a normalized impact factor suitable to assess in a simple way both the strength of scientific communities and the research influence of individuals. We define those ones with $NIF \geq 1$ as being scientific leaders since they…

Physics and Society · Physics 2009-02-25 George E. A. Matsas

We propose measures of the impact of research that improve on existing ones such as counting of number of papers, citations and $h$-index. Since different papers and different fields have largely different average number of co-authors and…

Digital Libraries · Computer Science 2021-04-07 Alessandro Strumia , Riccardo Torre

J. E. Hirsch (2005) introduced the h-index to quantify an individual's scientific research output by the largest number h of a scientist's papers, that received at least h citations. This so-called Hirsch index can be easily modified to…

Physics and Society · Physics 2013-01-31 Michael Schreiber

Many discussions have enlarged the literature in Bibliometrics since the Hirsh proposal, the so called $h$-index. Ranking papers according to their citations, this index quantifies a researcher only by its greatest possible number of papers…

A few weeks ago, Thomson Reuters published a list of the highly cited researchers worldwide (highlycited.com). Since the data is freely available for downloading and includes the names of the researchers' institutions, we produced a ranking…

Digital Libraries · Computer Science 2014-07-29 Lutz Bornmann , Johann Bauer

This article aims to show the weakness of the current scientific assessments, based on a set of contradictory pseudo-axioms. The six pseudo-axioms are deeply analysed. From the analysis are derived several conclusions. In spite of the…

Physics and Society · Physics 2007-05-23 Jose Carlos Bermejo Barrera

The end (for human scientists) is nigh? The posit of this discourse is that the majority, if not all, scientific research will eventually be undertaken by one, or a number of, weak artificial intelligences.

Popular Physics · Physics 2017-11-03 Carl McBride

Author performance indices (such as h-index and its variants) fail to resolve ties while ranking authors with low index values (majority in number) which includes the young researchers. In this work we leverage the citations as well as…

Digital Libraries · Computer Science 2016-04-11 Dinesh Pradhan , Partha Sarathi Paul , Umesh Maheswari , Subrata Nandi , Tanmoy Chakraborty