Agastya P. Bhati
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Spectroscopy
- Atomic and Molecular Physics, and Optics
- Co-authors
- Peter V. CoveneyShunzhou WanStefan J. ZasadaDavid W. WrightBrad SherborneYuan HuIan D. WallDarren V. S. Green
- Topics
- Protein Structure and Dynamics (17 papers)Computational Drug Discovery Methods (17 papers)Mass Spectrometry Techniques and Applications (6 papers)
- Journals
- Scientific ReportsJournal of Chemical Theory and ComputationComputer Physics Communications
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Agastya P. Bhati
24 papers receiving 574 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 448
- Computational Theory and Mathematics 281
- Materials Chemistry 164
- Spectroscopy 59
- Atomic and Molecular Physics, and Optics 41
Countries citing papers authored by Agastya P. Bhati
This map shows the geographic impact of Agastya P. Bhati'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 Agastya P. Bhati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agastya P. Bhati more than expected).
Fields of papers citing papers by Agastya P. Bhati
This network shows the impact of papers produced by Agastya P. Bhati. 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 Agastya P. Bhati. The network helps show where Agastya P. Bhati may publish in the future.
Co-authorship network of co-authors of Agastya P. Bhati
This figure shows the co-authorship network connecting the top 25 collaborators of Agastya P. Bhati. A scholar is included among the top collaborators of Agastya P. Bhati 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 Agastya P. Bhati. Agastya P. Bhati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 17 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 24 | |
| 10 | Pattern formation in Passiflora incarnata: An activator-inhibitor model | 1 |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 99 | |
| 15 | 52 | |
| 16 | 28 | |
| 17 | 29 | |
| 18 | 28 | |
| 19 | 55 | |
| 20 | 110 |
About Agastya P. Bhati
Agastya P. Bhati is a scholar working on Computational Theory and Mathematics, Spectroscopy and Biophysics, having authored 24 papers that have together received 579 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (17 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (281 citations), Molecular Biology (448 citations) and Spectroscopy (59 citations). Agastya P. Bhati has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Peter V. Coveney, Shunzhou Wan, Stefan J. Zasada, David W. Wright, Brad Sherborne, Yuan Hu, Ian D. Wall, Darren V. S. Green, Paul Bamborough and James L. Suter. Their work appears in journals such as Scientific Reports, Journal of Chemical Theory and Computation and Computer Physics Communications.
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.