Joydeep Chandra
Impact in
- Computational Mathematics top 10%
- Communication top 10%
- Public Relations and Crisis Communication
Papers in
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- Topic Modeling 11
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- Complex Network Analysis Techniques 17
- Opinion Dynamics and Social Influence 6
- Co-authors
- Sourav Kumar Dandapat (13 shared papers)João Mendes‐Moreira (5 shared papers)Samrat Mondal (5 shared papers)Kripabandhu Ghosh (3 shared papers)Raju Halder (5 shared papers)Ashok Singh Sairam (3 shared papers)Niloy Ganguly (5 shared papers)Arun K. Pandey (1 shared paper)
In The Last Decade
Joydeep Chandra
51 papers receiving 372 citations
Peers
Comparison fields: 5 of 77
- Computational Mathematics 15
- Communication 52
- Artificial Intelligence 208
- Transportation 38
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Joydeep Chandra
This map shows the geographic impact of Joydeep Chandra'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 Joydeep Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joydeep Chandra more than expected).
Fields of papers citing papers by Joydeep Chandra
This network shows the impact of papers produced by Joydeep Chandra. 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 Joydeep Chandra. The network helps show where Joydeep Chandra may publish in the future.
Co-authors
The 18 scholars most cited alongside Joydeep Chandra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2020 | 35 | |
| 3 | 2019 | 22 | |
| 4 | 2023 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Joydeep Chandra
Joydeep Chandra is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Sociology and Political Science and Transportation, having authored 58 papers that have together received 384 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Topic Modeling (11 papers), Traffic Prediction and Management Techniques (8 papers), Peer-to-Peer Network Technologies (7 papers), Misinformation and Its Impacts (7 papers), Opinion Dynamics and Social Influence (6 papers), Transportation Planning and Optimization (6 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Computational Mathematics (15 citations), Communication (52 citations), Artificial Intelligence (208 citations), Transportation (38 citations) and Statistical and Nonlinear Physics (63 citations). Joydeep Chandra has collaborated with scholars based in India, Portugal and Germany. Frequent co-authors include Sourav Kumar Dandapat, João Mendes‐Moreira, Samrat Mondal, Kripabandhu Ghosh, Raju Halder, Ashok Singh Sairam, Niloy Ganguly, Arun K. Pandey, Parul Agarwal and Brijesh Singh Yadav. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Computational Social Systems, ACM Transactions on Knowledge Discovery from Data, Information Processing & Management and Artificial Intelligence in Medicine.
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.