Prakhar Biyani
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Social Psychology
- Communication
- Co-authors
- Prasenjit MitraKostas TsioutsiouliklisCornelia CarageaSumit BhatiaJohn YenKenneth M. PortierGreta E. GreerNir Ofek
- Topics
- Sentiment Analysis and Opinion Mining (8 papers)Topic Modeling (7 papers)Mental Health via Writing (5 papers)
- Journals
- Knowledge-Based SystemsJNCI MonographsJournal of the Association for Information Science and Technology
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Prakhar Biyani
14 papers receiving 376 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 248
- Sociology and Political Science 160
- Information Systems 118
- Social Psychology 67
- Communication 35
Countries citing papers authored by Prakhar Biyani
This map shows the geographic impact of Prakhar Biyani'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 Prakhar Biyani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prakhar Biyani more than expected).
Fields of papers citing papers by Prakhar Biyani
This network shows the impact of papers produced by Prakhar Biyani. 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 Prakhar Biyani. The network helps show where Prakhar Biyani may publish in the future.
Co-authorship network of co-authors of Prakhar Biyani
This figure shows the co-authorship network connecting the top 25 collaborators of Prakhar Biyani. A scholar is included among the top collaborators of Prakhar Biyani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prakhar Biyani. Prakhar Biyani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | Identifying Empathetic Messages in Online Health Communities | 14 |
| 4 | 114 | |
| 5 | 10 | |
| 6 | Identifying Emotional and Informational Support in Online Health Communities | 39 |
| 7 | 26 | |
| 8 | 34 | |
| 9 | Analyzing subjectivity and sentiment of online forums | 3 |
| 10 | 74 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | Classifying User Messages For Managing Web Forum Data. | 21 |
| 14 | 19 |
About Prakhar Biyani
Prakhar Biyani is a scholar working on Artificial Intelligence, Social Psychology and Statistical and Nonlinear Physics, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (7 papers) and Mental Health via Writing (5 papers). The work is most often cited by research in Artificial Intelligence (248 citations), Information Systems (118 citations) and Communication (35 citations). Prakhar Biyani has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Prasenjit Mitra, Kostas Tsioutsiouliklis, Cornelia Caragea, Sumit Bhatia, John Yen, Kenneth M. Portier, Greta E. Greer, Nir Ofek, Lior Rokach and J. Yen. Their work appears in journals such as Knowledge-Based Systems, JNCI Monographs and Journal of the Association for Information Science and Technology.
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.