Srijan Sengupta
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Molecular Biology
- Genetics
- Statistics and Probability top 10%
- Co-authors
- Peter SetlowDavid L. PophamYuguo ChenWilliam H. WoodallXiaofeng ShaoStanislav VolgushevM.D. HaniganMengmeng Li
- Topics
- Complex Network Analysis Techniques (16 papers)Network Security and Intrusion Detection (5 papers)Opinion Dynamics and Social Influence (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Srijan Sengupta
32 papers receiving 347 citations
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 104
- Artificial Intelligence 86
- Molecular Biology 74
- Genetics 42
- Statistics and Probability 38
Countries citing papers authored by Srijan Sengupta
This map shows the geographic impact of Srijan Sengupta'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 Srijan Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srijan Sengupta more than expected).
Fields of papers citing papers by Srijan Sengupta
This network shows the impact of papers produced by Srijan Sengupta. 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 Srijan Sengupta. The network helps show where Srijan Sengupta may publish in the future.
Co-authorship network of co-authors of Srijan Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Srijan Sengupta. A scholar is included among the top collaborators of Srijan Sengupta 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 Srijan Sengupta. Srijan Sengupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 21 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 32 | |
| 20 | Unique phenotypes of typical and inverted Takotsubo cardiomyopathy in young females. | 6 |
About Srijan Sengupta
Srijan Sengupta is a scholar working on Health Informatics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 33 papers that have together received 361 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Network Security and Intrusion Detection (5 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (104 citations), Statistics and Probability (38 citations) and Biotechnology (33 citations). Srijan Sengupta has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Peter Setlow, David L. Popham, Yuguo Chen, William H. Woodall, Xiaofeng Shao, Stanislav Volgushev, M.D. Hanigan, Mengmeng Li, Meng Zhao and Nathaniel T. Stevens. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.