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In the past, several works have investigated ways for combining quantitative and qualitative methods in research assessment exercises. In this work, we aim at introducing a methodology to explore whether citation-based metrics, calculated…

Digital Libraries · Computer Science 2021-06-11 Federica Bologna , Angelo Di Iorio , Silvio Peroni , Francesco Poggi

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

The value of biomedical research--a $1.7 trillion annual investment--is ultimately determined by its downstream, real-world impact. Current objective predictors of impact rest on proxy, reductive metrics of dissemination, such as paper…

Research grants have played an important role in seeding and promoting fundamental research projects worldwide. There is a growing demand for developing and delivering scientific influence analysis as a service on research grant…

Social and Information Networks · Computer Science 2019-08-26 Yuming Wang , Yanbo Long , Lai Tu , Ling Liu

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

Scientific articles play a crucial role in advancing knowledge and informing research directions. One key aspect of evaluating scientific articles is the analysis of citations, which provides insights into the impact and reception of the…

Digital Libraries · Computer Science 2026-03-09 Walid Hariri

Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form the feedback should take for learning an accurate reward function has not been conclusively established. This…

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

Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the…

Digital Libraries · Computer Science 2020-08-11 Xiaomei Bai , Fuli Zhang , Jie Hou , Ivan Lee , Xiangjie Kong , Amr Tolba , Feng Xia

The development of scientometric indicators and methods for evaluative purposes, requires a multitude of assumptions, conventions, limitations, and caveats. Given this, we cannot permit ambiguities in the key concepts forming the basis of…

Digital Libraries · Computer Science 2018-11-06 Giovanni Abramo

Measuring the impact of a publication in a fair way is a significant challenge in bibliometrics, as it must not introduce biases between fields and should enable comparison of the impact of publications from different years. In this paper,…

Digital Libraries · Computer Science 2024-03-07 Emilio Gómez-Déniz , Pablo Dorta-González

The impact of research papers, typically measured in terms of citation counts, depends on several factors, including the reputation of the authors, journals, and institutions, in addition to the quality of the scientific work. In this…

Digital Libraries · Computer Science 2024-07-30 Adilson Vital , Filipi N. Silva , Osvaldo N. Oliveira , Diego R. Amancio

We propose a scalable method for constructing a temporal opinion knowledge base with large language models (LLMs) as automated annotators. Despite the demonstrated utility of time-series opinion analysis of text for downstream applications…

Computation and Language · Computer Science 2025-09-03 Gaurav Negi , Atul Kr. Ojha , Omnia Zayed , Paul Buitelaar

The ability to predict the long-term impact of a scientific article soon after its publication is of great value towards accurate assessment of research performance. In this work we test the hypothesis that good predictions of long-term…

Digital Libraries · Computer Science 2019-09-20 Giovanni Abramo , Ciriaco Andrea D'Angelo , Giovanni Felici

We propose a summarization approach for scientific articles which takes advantage of citation-context and the document discourse model. While citations have been previously used in generating scientific summaries, they lack the related…

Computation and Language · Computer Science 2017-04-24 Arman Cohan , Nazli Goharian

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

Identifying the strengths and limitations of a research paper is a core component of any literature review. However, traditional summaries reflect only the authors' self-presented perspective. Analyzing how other researchers discuss and…

Software Engineering · Computer Science 2026-01-14 Shireesh Reddy Pyreddy , Khaja Valli Pathan , Hasan Masum , Tarannum Shaila Zaman

With thousands of academic articles shared on a daily basis, it has become increasingly difficult to keep up with the latest scientific findings. To overcome this problem, we introduce a new task of disentangled paper summarization, which…

Computation and Language · Computer Science 2020-11-10 Hiroaki Hayashi , Wojciech Kryściński , Bryan McCann , Nazneen Rajani , Caiming Xiong

In a context of ever more specialized scientists, interdisciplinarity receives increasing attention as innovating ideas are often situated where the disciplines meet. In many countries science policy makers installed dedicated funding…

Digital Libraries · Computer Science 2013-07-26 Nadine Rons

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,…

Digital Libraries · Computer Science 2020-05-04 Lutz Bornmann , Richard Williams