Pavan Holur
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Communication top 10%
- Social Media and Politics
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Sentiment Analysis and Opinion Mining 2
- Hate Speech and Cyberbullying Detection 2
-
- Misinformation and Its Impacts 3
- Co-authors
- Vwani Roychowdhury (8 shared papers)Timothy R. Tangherlini (6 shared papers)Shadi Shahsavari (5 shared papers)Kelly Bulkeley (1 shared paper)Roja Bandari (1 shared paper)Tianyi Wang (1 shared paper)Louis‐S. Bouchard (1 shared paper)Matteo Pellegrini (1 shared paper)
- Journals
- Royal Society Open Science (1 paper)Consciousness and Cognition (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)Journal of Computational Social Science (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Pavan Holur
9 papers receiving 202 citations
Peers
Comparison fields: 5 of 44
- Health 57
- Communication 38
- Sociology and Political Science 176
- Modeling and Simulation 13
- General Social Sciences 7
Countries citing papers authored by Pavan Holur
This map shows the geographic impact of Pavan Holur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pavan Holur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Holur more than expected).
Fields of papers citing papers by Pavan Holur
This network shows the impact of papers produced by Pavan Holur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pavan Holur. The network helps show where Pavan Holur may publish in the future.
Co-authors
The 8 scholars most cited alongside Pavan Holur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 181 | |
| 2 | 2020 | 10 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 |
About Pavan Holur
Pavan Holur is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Molecular Biology, having authored 9 papers that have together received 209 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (3 papers), Topic Modeling (3 papers), Complex Network Analysis Techniques (2 papers), Natural Language Processing Techniques (2 papers), Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Health (57 citations), Communication (38 citations), Sociology and Political Science (176 citations), Modeling and Simulation (13 citations) and General Social Sciences (7 citations). Pavan Holur has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Vwani Roychowdhury, Timothy R. Tangherlini, Shadi Shahsavari, Kelly Bulkeley, Roja Bandari, Tianyi Wang, Louis‐S. Bouchard and Matteo Pellegrini. Their work appears in journals such as Royal Society Open Science, Consciousness and Cognition, PLoS ONE, Bioinformatics and Journal of Computational Social Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.