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The importance of a research article is routinely measured by counting how many times it has been cited. However, treating all citations with equal weight ignores the wide variety of functions that citations perform. We want to…

Digital Libraries · Computer Science 2015-01-28 Xiaodan Zhu , Peter Turney , Daniel Lemire , André Vellino

Can the analysis of the semantics of words used in the text of a scientific paper predict its future impact measured by citations? This study details examples of automated text classification that achieved 80% success rate in distinguishing…

Computation and Language · Computer Science 2021-04-28 Neslihan Suzen , Alexander Gorban , Jeremy Levesley , Evgeny Mirkes

Bibliometricians have long recurred to citation counts to measure the impact of publications on the advancement of science. However, since the earliest days of the field, some scholars have questioned whether all citations should be worth…

Digital Libraries · Computer Science 2019-09-16 Cristiano Giuffrida , Giovanni Abramo , Ciriaco Andrea D'Angelo

It is hard to detect important articles in a specific context. Information retrieval techniques based on full text search can be inaccurate to identify main topics and they are not able to provide an indication about the importance of the…

Digital Libraries · Computer Science 2016-07-28 Metin Doslu , Haluk O. Bingol

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

Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing…

Information Retrieval · Computer Science 2020-09-09 Michael Färber , Adam Jatowt

Rapid and efficient assessment of the future impact of research articles is a significant concern for both authors and reviewers. The most common standard for measuring the impact of academic papers is the number of citations. In recent…

Computation and Language · Computer Science 2025-03-28 Qichen Sun , Yuxing Lu , Kun Xia , Li Chen , He Sun , Jinzhuo Wang

Problems for evaluation and impact of published scientific works and their authors are discussed. The role of citations in this process is pointed out. Different bibliometric indicators are reviewed in this connection and ways for…

Physics and Society · Physics 2014-05-21 Bozhidar Z. Iliev

Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review…

Digital Libraries · Computer Science 2016-02-26 Ludo Waltman

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

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…

Digital Libraries · Computer Science 2014-04-16 Richard Williams , Lutz Bornmann

Assessing a cited paper's impact is typically done by analyzing its citation context in isolation within the citing paper. While this focuses on the most directly relevant text, it prevents relative comparisons across all the works a paper…

Digital Libraries · Computer Science 2026-04-24 Hannah Collison , Benjamin Van Durme , Daniel Khashabi

Evaluation of researchers' output is vital for hiring committees and funding bodies, and it is usually measured via their scientific productivity, citations, or a combined metric such as h-index. Assessing young researchers is more critical…

Digital Libraries · Computer Science 2023-10-10 Fakhri Momeni , Philipp Mayr , Stefan Dietze

The constantly increasing rate at which scientific papers are published makes it difficult for researchers to identify papers that currently impact the research field of their interest. Hence, approaches to effectively identify papers of…

Digital Libraries · Computer Science 2021-04-21 Ilias Kanellos , Thanasis Vergoulis , Dimitris Sacharidis , Theodore Dalamagas , Yannis Vassiliou

Citation analysis is one of the most frequently used methods in research evaluation. We are seeing significant growth in citation analysis through bibliometric metadata, primarily due to the availability of citation databases such as the…

Digital Libraries · Computer Science 2020-09-01 Sehrish Iqbal , Saeed-Ul Hassan , Naif Radi Aljohani , Salem Alelyani , Raheel Nawaz , Lutz Bornmann

The volume of academic paper submissions and publications is growing at an ever increasing rate. While this flood of research promises progress in various fields, the sheer volume of output inherently increases the amount of noise. We…

Information Retrieval · Computer Science 2020-05-22 Marko Stamenovic , Jeibo Luo

References, the mechanism scientists rely on to signal previous knowledge, lately have turned into widely used and misused measures of scientific impact. Yet, when a discovery becomes common knowledge, citations suffer from obliteration by…

Computation and Language · Computer Science 2024-05-14 Xiangyi Meng , Onur Varol , Albert-László Barabási

Articles in high-impact journals are, on average, more frequently cited. But are they cited more often because those articles are somehow more "citable"? Or are they cited more often simply because they are published in a high-impact…

Digital Libraries · Computer Science 2021-03-29 V. A. Traag

Predicting highly-cited papers is a long-standing challenge due to the complex interactions of research content, scholarly communities, and temporal dynamics. Recent advances in large language models (LLMs) raise the question of whether…

Applications · Statistics 2026-01-21 Zhanshuo Ye , Yiming Hou , Rui Pan , Tianchen Gao , Hansheng Wang

With the growing amount of published research, automatic evaluation of scholarly publications is becoming an important task. In this paper we address this problem and present a simple and transparent approach for evaluating the importance…

Information Retrieval · Computer Science 2016-11-17 Drahomira Herrmannova , Petr Knoth
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