Sayantari Ghosh
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Sociology and Political Science
- Modeling and Simulation top 5%
- Co-authors
- Saumik BhattacharyaD. PatranabisIndrani BoseF. G. PohlandAmit Kumar PalYatindra Nath SinghArunanshu S. KuarK. Mahadevan
- Topics
- Gene Regulatory Network Analysis (6 papers)Opinion Dynamics and Social Influence (6 papers)Complex Network Analysis Techniques (4 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- IndiaUnited States
In The Last Decade
Sayantari Ghosh
29 papers receiving 276 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 64
- Statistical and Nonlinear Physics 63
- Molecular Biology 52
- Sociology and Political Science 46
- Modeling and Simulation 46
Countries citing papers authored by Sayantari Ghosh
This map shows the geographic impact of Sayantari Ghosh'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 Sayantari Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayantari Ghosh more than expected).
Fields of papers citing papers by Sayantari Ghosh
This network shows the impact of papers produced by Sayantari Ghosh. 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 Sayantari Ghosh. The network helps show where Sayantari Ghosh may publish in the future.
Co-authorship network of co-authors of Sayantari Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Sayantari Ghosh. A scholar is included among the top collaborators of Sayantari Ghosh 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 Sayantari Ghosh. Sayantari Ghosh 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | Structural Retrofit of Special Moment-Resisting Frames of Concrete | 2 |
| 19 | 1 | |
| 20 | 3 |
About Sayantari Ghosh
Sayantari Ghosh is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Metals and Alloys, having authored 32 papers that have together received 287 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Opinion Dynamics and Social Influence (6 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Modeling and Simulation (46 citations), Statistical and Nonlinear Physics (63 citations) and Computer Networks and Communications (64 citations). Sayantari Ghosh has collaborated with scholars based in India and United States. Frequent co-authors include Saumik Bhattacharya, D. Patranabis, Indrani Bose, F. G. Pohland, Amit Kumar Pal, Yatindra Nath Singh, Arunanshu S. Kuar, K. Mahadevan, Tapan Kumar Pal and Mohit Kumar Jolly. Their work appears in journals such as Water Research, Scientific Reports and IEEE Transactions on Industry Applications.
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.