2024 Google Scholar Research Interest Ranking for Top 3260 Computer Science Authors
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866915202870542336 |
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| author | Rasane, Atharva |
| author_facet | Rasane, Atharva |
| contents | Computer science research spans a diverse array of topics, with scholars exploring numerous subfields. This paper examines the self-reported research interests of the top 3,260 most cited computer science authors on Google Scholar. Using the scholarly Python library, we systematically retrieved and classified their interests into predefined categories based on the Computer Science Ontology (CSO). The analysis highlights a hierarchy of primary research areas, including Artificial Intelligence, Software Engineering, Data Mining, and Computer Systems. Additionally, it investigates the distribution of these interests, identifying emerging trends, established fields, and areas with relatively less attention. These findings provide a current snapshot of research priorities and serve as a foundation for guiding future studies in computer science. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_13451 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 2024 Google Scholar Research Interest Ranking for Top 3260 Computer Science Authors Rasane, Atharva Digital Libraries H.3.3; I.2.7 Computer science research spans a diverse array of topics, with scholars exploring numerous subfields. This paper examines the self-reported research interests of the top 3,260 most cited computer science authors on Google Scholar. Using the scholarly Python library, we systematically retrieved and classified their interests into predefined categories based on the Computer Science Ontology (CSO). The analysis highlights a hierarchy of primary research areas, including Artificial Intelligence, Software Engineering, Data Mining, and Computer Systems. Additionally, it investigates the distribution of these interests, identifying emerging trends, established fields, and areas with relatively less attention. These findings provide a current snapshot of research priorities and serve as a foundation for guiding future studies in computer science. |
| title | 2024 Google Scholar Research Interest Ranking for Top 3260 Computer Science Authors |
| topic | Digital Libraries H.3.3; I.2.7 |
| url | https://arxiv.org/abs/2503.13451 |