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 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, 2023, vol. 42, n. 4, pp. 428-440. [Journal article (Paginated)]

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English abstract

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.

Item type: Journal article (Paginated)
Keywords: Altmetric, collaboration, scientific influence, scientific output, scientometrics, Scientometric portrait, Twitter
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Dr. Alireza Noruzi
Date deposited: 18 Dec 2023 21:32
Last modified: 18 Dec 2023 21:32
URI: http://hdl.handle.net/10760/45182

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