Koustav Rudra
- Artificial Intelligence top 5%
- Communication top 2%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 10%
- Co-authors
- Niloy GangulyPawan GoyalSaptarshi GhoshMuhammad ImranAshish SharmaPrasenjit MitraThi Huyen Tram NguyenMonojit Choudhury
- Topics
- Topic Modeling (17 papers)Public Relations and Crisis Communication (11 papers)Sentiment Analysis and Opinion Mining (8 papers)
- Journals
- ACM Transactions on Information SystemsInformation Systems FrontiersLanguage Resources and Evaluation
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Koustav Rudra
32 papers receiving 621 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 432
- Communication 291
- Sociology and Political Science 225
- Statistical and Nonlinear Physics 146
- Information Systems 69
Countries citing papers authored by Koustav Rudra
This map shows the geographic impact of Koustav Rudra'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 Koustav Rudra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koustav Rudra more than expected).
Fields of papers citing papers by Koustav Rudra
This network shows the impact of papers produced by Koustav Rudra. 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 Koustav Rudra. The network helps show where Koustav Rudra may publish in the future.
Co-authorship network of co-authors of Koustav Rudra
This figure shows the co-authorship network connecting the top 25 collaborators of Koustav Rudra. A scholar is included among the top collaborators of Koustav Rudra 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 Koustav Rudra. Koustav Rudra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 33 | |
| 17 | 14 | |
| 18 | Functions of Code-Switching in Tweets: An Annotation Framework and Some Initial Experiments | 15 |
| 19 | 9 | |
| 20 | 121 |
About Koustav Rudra
Koustav Rudra is a scholar working on Communication, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 34 papers that have together received 642 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Public Relations and Crisis Communication (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Communication (291 citations), Artificial Intelligence (432 citations) and Statistical and Nonlinear Physics (146 citations). Koustav Rudra has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh, Muhammad Imran, Ashish Sharma, Prasenjit Mitra, Thi Huyen Tram Nguyen, Monojit Choudhury, Kalika Bali and Avishek Anand. Their work appears in journals such as ACM Transactions on Information Systems, Information Systems Frontiers and Language Resources and Evaluation.
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.