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Analyzing the Legacy and Scientific Impact of Saeed-Ul Hassan: A Pakistani Scientometrician, Data Scientist and Winner of the Eugene Garfield Award 2017 and 2022

NAWAZ, Raheel, Gholampour, Behzad, Gholampour, Sajad, Elahi, Alireza, Sarwar, Raheem, Liu, Leo, Saboury, Ali Akbar and Noruzi, Alireza (2023) Analyzing the Legacy and Scientific Impact of Saeed-Ul Hassan: A Pakistani Scientometrician, Data Scientist and Winner of the Eugene Garfield Award 2017 and 2022. Science & Technology Libraries, 42 (4). pp. 428-440. ISSN 0194-262X

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Official URL: http://dx.doi.org/10.1080/0194262X.2023.2242418

Abstract or description

This study highlights the scientific legacy and impact of Dr Saeed-Ul Hassan’s research on the world of science. He was a remarkable researcher in the fields of scientometrics, altmetrics, artificial intelligence, and data science, as evidenced by the Eugene Garfield Awards he received for innovation in citation analysis in 2017 and 2022. Based on datasets retrieved from the Scopus database for the years 2009–2022, he collaborated with 157 researchers from 22 different nations and his research findings are published in reputable journals and conferences. In the last five years of his life, his scholarly publications and scientific impact significantly increased. His significant attention to Open Access publications and high levels of worldwide collaboration have greatly contributed to his impact in the world of science. The results of altmetric studies indicate that Dr SU Hassan’s scientific publications are widely accepted by researchers on Twitter and Mendeley. The majority of individuals that tweeted and read his publications were from European and American nations. His research had the greatest impact on experts in the fields of scientometrics, computer science and social sciences, according to the classification of the readers of his research articles. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

Item Type: Article
Faculty: Executive
Depositing User: Raheel NAWAZ
Date Deposited: 11 Sep 2024 15:36
Last Modified: 11 Sep 2024 15:58
URI: https://eprints.staffs.ac.uk/id/eprint/8459

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