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The scientific community increasingly relies on open data sharing, yet existing metrics inadequately capture the true impact of datasets as research outputs. Traditional measures, such as the h-index, focus on publications and citations but…

Computers and Society · Computer Science 2025-12-09 Smitha Muthya Sudheendra , Zhongxing Zhang , Wenwen Cao , Jisu Huh , Jaideep Srivastava

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

An important issue in the field of academic measurement is how to evaluate academic influence scientifically and comprehensively, which can help government and research organizations better allocate academic resources and recruit…

Digital Libraries · Computer Science 2021-07-15 Yun Wan , Feng Xiao , Lu Li , Zhenghao Zhong

Questions of definition and measurement continue to constrain a consensus on the measurement of interdisciplinarity. Using Rao-Stirling (RS) Diversity produces sometimes anomalous results. We argue that these unexpected outcomes can be…

Digital Libraries · Computer Science 2018-08-30 Loet Leydesdorff , Caroline S. Wagner , Lutz Bornmann

Metrics based on percentile ranks (PRs) for measuring scholarly impact involves complex treatment because of various defects such as overvaluing or devaluing an object caused by percentile ranking schemes, ignoring precise citation…

Digital Libraries · Computer Science 2012-05-14 Ping Zhou , Yongfeng Zhong

The predictive power of the h-index has been shown to depend for a long time on citations to rather old publications. This has raised doubts about its usefulness for predicting future scientific achievements. Here I investigate a variant…

Digital Libraries · Computer Science 2015-10-23 Michael Schreiber

We provide a comprehensive and critical review of the h-index and its most important modifications proposed in the literature, as well as of other similar indicators measuring research output and impact. Extensions of some of these indices…

Information Retrieval · Computer Science 2009-09-15 John Panaretos , Chrisovaladis Malesios

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

H-index has become more popular nowadays and is used for some scientific performance criteria in the world widely. This indexing method does not correctly measure any performance or carrier specifications because of the parameters that are…

Digital Libraries · Computer Science 2024-07-04 Ugur Saglam , Fatih Canata

The h index is a widely recognized metric for assessing the research impact of scholars, defined as the maximum value h such that the scholar has published h papers each cited at least h times. While it has proven useful measuring…

In recent years, several Scientometrics and Bibliometrics indicators were proposed to evaluate the scientific impact of individuals, institutions, colleges, universities and research teams. The h-index gives a major breakthrough in the…

Digital Libraries · Computer Science 2018-11-09 Anand Bihari , Sudhakar Tripathi , Akshay Deepak

The concept of h-index has been proposed to easily assess a researcher's performance with a single number. However, by using only this number, we lose significant information about the distribution of citations per article in an author's…

Digital Libraries · Computer Science 2014-09-23 Antonis Sidiropoulos , Dimitrios Katsaros , Yannis Manolopoulos

The impact of individual scientists is commonly quantified using citation-based measures. The most common such measure is the h-index. A scientist's h-index affects hiring, promotion, and funding decisions, and thus shapes the progress of…

Digital Libraries · Computer Science 2021-09-15 Vladlen Koltun , David Hafner

The evaluation of a researcher's performance has traditionally relied on various bibliometric measures, with the h-index being one of the most prominent. However, the h-index only accounts for the number of citations received in a…

Digital Libraries · Computer Science 2025-06-10 Hardik A. Jain , Rohitash Chandra

There are a wide variety of scientific contribution rating indices including the impact factor and h-index. These are used for quantitative analyses on research papers published in the past, and therefore unable to incorporate in the…

Digital Libraries · Computer Science 2013-10-21 Akira Otsuki , Masayoshi Kawamura

The Hirsch index or h-index is widely used to quantify the impact of an individual's scientific research output, determining the highest number h of a scientist's papers that received at least h citations. Several variants of the index have…

Physics and Society · Physics 2015-05-19 Michael Schreiber

Accurately evaluating scholarly influence is essential for fair academic assessment, yet traditional bibliometric indicators - dominated by publication and citation counts - often favor hyperprolific authors over those with deeper,…

Digital Libraries · Computer Science 2026-02-13 Lu Li , Yun Wan , Feng Xiao

This short paper introduces the u-index, a simple and objective metric to evaluate the impact and relevance of academic research output, as a possible alternative to widespread metrics such as the h-index or the i10-index. The proposed…

Digital Libraries · Computer Science 2022-06-06 Roberto Dillon

Citation metrics are widely used to assess academic impact but suffer from social biases, including institutional prestige and journal visibility. Here we introduce rXiv Semantic Impact (XSI), a novel framework that predicts research impact…

Information Retrieval · Computer Science 2025-02-20 Alexander V. Belikov

In the present academic landscape, the process of collecting data is slow, and the lax infrastructures for data collaborations lead to significant delays in coming up with and disseminating conclusive findings. Therefore, there is an…

Computers and Society · Computer Science 2023-03-21 Kacy Adams , Fernando Spadea , Conor Flynn , Oshani Seneviratne
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