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A fundamental problem in citation analysis is the prediction of the long-term citation impact of recent publications. We propose a model to predict a probability distribution for the future number of citations of a publication. Two…

Digital Libraries · Computer Science 2015-09-10 Clara Stegehuis , Nelly Litvak , Ludo Waltman

The findings of Bornmann, Leydesdorff, and Wang (in press) revealed that the consideration of journal impact improves the prediction of long-term citation impact. This paper further explores the possibility of improving citation impact…

Digital Libraries · Computer Science 2013-11-20 Lutz Bornmann , Loet Leydesdorff , Jian Wang

The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly…

Information Retrieval · Computer Science 2007-05-23 Tim Brody , Stevan Harnad

This study aims to improve the accuracy of long-term citation impact prediction by integrating early citation counts, Mendeley readership, and various non-scientific factors, such as journal impact factor, authorship and reference list…

Digital Libraries · Computer Science 2025-06-19 Giovanni Abramo , Tindaro Cicero , Ciriaco Andrea D'Angelo

In this work we ask whether and to what extent applying a predictor of publications' impact better than early citations, has an effect on the assessment of research performance of individual scientists. Specifically, we measure the total…

Digital Libraries · Computer Science 2021-03-26 Giovanni Abramo , Ciriaco Andrea D'Angelo , Giovanni Felici

A standard measure of the influence of a research paper is the number of times it is cited. However, papers may be cited for many reasons, and citation count offers limited information about the extent to which a paper affected the content…

Computation and Language · Computer Science 2022-10-26 Sandeep Soni , David Bamman , Jacob Eisenstein

With the passage of more time from the original date of publication, the measure of the impact of scientific works using subsequent citation counts becomes more accurate. However the measurement of individual and organizational research…

Digital Libraries · Computer Science 2018-11-06 Giovanni Abramo , Tindaro Cicero , Ciriaco Andrea D'Angelo

With the growing number of published scientific papers world-wide, the need to evaluation and quality assessment methods for research papers is increasing. Scientific fields such as scientometrics, informetrics and bibliometrics establish…

Digital Libraries · Computer Science 2019-03-19 Ali Abrishami , Sadegh Aliakbary

The rapid evolution of scientific research has been creating a huge volume of publications every year. Among the many quantification measures of scientific impact, citation count stands out for its frequent use in the research community.…

Digital Libraries · Computer Science 2022-04-22 Sha Yuan , Jie Tang , Yu Zhang , Yifan Wang , Tong Xiao

Citations acknowledge the impact a scientific publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily influenced by social factors. In this work, we conduct an empirical analysis based on…

Digital Libraries · Computer Science 2021-03-29 Andrea Fronzetti Colladon , Ciriaco Andrea D'Angelo , Peter A. Gloor

Citation based measures are widely used as quantitative proxies for subjective factors such as the importance of a paper or even the worth of individual researchers. Here we analyze the citation histories of $4669$ papers published in…

Digital Libraries · Computer Science 2022-01-27 Sandro M. Reia , José F. Fontanari

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

This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact (LTSI) usually measured by the number of citations accumulated by a paper in the long-term. It is well known that early…

Digital Libraries · Computer Science 2017-05-10 Mayank Singh , Ajay Jaiswal , Priya Shree , Arindam Pal , Animesh Mukherjee , Pawan Goyal

Nowadays impact factor is the significant indicator for journal evaluation. In impact factor calculation is used number of all citations to journal, regardless of the prestige of cited journals, however, scientific units (paper, researcher,…

Digital Libraries · Computer Science 2015-06-10 Rasim Alguliyev , Ramiz Aliguliyev , Nigar Ismayilova

Citations are used for research evaluation, and it is therefore important to know which factors influence or associate with citation impact of articles. Several citation factors have been studied in the literature. In this study we propose…

Digital Libraries · Computer Science 2022-04-01 Peter Sjögårde , Fereshteh Didegah

The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a…

Digital Libraries · Computer Science 2014-01-09 Dashun Wang , Chaoming Song , Albert-László Barabási

Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies. Due to the sheer amount of research published and the growth…

Digital Libraries · Computer Science 2020-12-29 Akhil Pandey Akella , Hamed Alhoori , Pavan Ravikanth Kondamudi , Cole Freeman , Haiming Zhou

Many factors could affect the number of citations to a paper. Citations have an important role in research policy and in measuring the excellence of research and researchers. This work is the first study in software engineering (SE) to…

Digital Libraries · Computer Science 2019-08-14 Mika Mäntylä , Vahid Garousi

The prediction of the long-term impact of a scientific article is challenging task, addressed by the bibliometrician through resorting to a proxy whose reliability increases with the breadth of the citation window. In the national research…

Digital Libraries · Computer Science 2018-10-31 Giovanni Abramo , Ciriaco Andrea D'Angelo

Prediction of the future performance of academic journals is a task that can benefit a variety of stakeholders including editorial staff, publishers, indexing services, researchers, university administrators and granting agencies. Using…

Digital Libraries · Computer Science 2022-10-25 William Croft , Jörg-Rüdiger Sack
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