{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T22:36:19Z","timestamp":1763591779735,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T00:00:00Z","timestamp":1727654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"2024 Shenzhen Library and Information Science Research Project","award":["SWTQ2024230","GDTK23004"],"award-info":[{"award-number":["SWTQ2024230","GDTK23004"]}]},{"name":"2023 Guangdong Provincial Library Key Research Project","award":["SWTQ2024230","GDTK23004"],"award-info":[{"award-number":["SWTQ2024230","GDTK23004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>This study investigates the coevolution of coauthorship and citation networks and their influence on scientific metrics such as the h-index and journal impact factors. Using a preferential attachment mechanism, we developed a model that integrated these networks and validated it with data from the American Physical Society (APS). While the correlations between reference counts, paper lifetime, and team sizes with scientific impact metrics are well-known, our findings demonstrate how these relationships vary depending on specific model parameters. For instance, increasing reference counts or reducing paper lifetime significantly boosts both journal impact factors and h-indexes, while expanding team sizes without adding new authors can artificially inflate h-indexes. These results highlight potential vulnerabilities in commonly used metrics and emphasize the value of modeling and simulation for improving bibliometric evaluations.<\/jats:p>","DOI":"10.3390\/info15100597","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T07:19:37Z","timestamp":1727680777000},"page":"597","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Analysis of Effects on Scientific Impact Indicators Based on Coevolution of Coauthorship and Citation Networks"],"prefix":"10.3390","volume":"15","author":[{"given":"Haobai","family":"Xue","sequence":"first","affiliation":[{"name":"Information and Intelligence Department, University Town Library of Shenzhen, 2239 Lishui Road, Nanshan District, Shenzhen 518055, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,30]]},"reference":[{"key":"ref_1","first-page":"62","article-title":"A bibliometric study of digital humanities research in China from 2012 to 2021","volume":"28","author":"Su","year":"2023","journal-title":"Inf. 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