Pratyush Tiwary
- Molecular Biology top 2%
- Materials Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 2%
- Computational Theory and Mathematics top 0.5%
- Mechanical Engineering top 5%
- Co-authors
- Michele ParrinelloB. J. BerneAxel van de WalleÓmar ValssonYihang WangJoão Marcelo Lamim RibeiroDavid L. OlmstedMaarten de Jong
- Topics
- Protein Structure and Dynamics (48 papers)Machine Learning in Materials Science (27 papers)Computational Drug Discovery Methods (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Pratyush Tiwary
85 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.7k
- Materials Chemistry 2.1k
- Atomic and Molecular Physics, and Optics 930
- Computational Theory and Mathematics 865
- Mechanical Engineering 616
Countries citing papers authored by Pratyush Tiwary
This map shows the geographic impact of Pratyush Tiwary'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 Pratyush Tiwary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratyush Tiwary more than expected).
Fields of papers citing papers by Pratyush Tiwary
This network shows the impact of papers produced by Pratyush Tiwary. 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 Pratyush Tiwary. The network helps show where Pratyush Tiwary may publish in the future.
Co-authorship network of co-authors of Pratyush Tiwary
This figure shows the co-authorship network connecting the top 25 collaborators of Pratyush Tiwary. A scholar is included among the top collaborators of Pratyush Tiwary 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 Pratyush Tiwary. Pratyush Tiwary 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 32 | |
| 18 | 9 | |
| 19 | Efficient stochastic generation of special quasirandom structuresbreakdown → | 1242 |
| 20 | 5 |
About Pratyush Tiwary
Pratyush Tiwary is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Condensed Matter Physics, having authored 90 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (48 papers), Machine Learning in Materials Science (27 papers) and Computational Drug Discovery Methods (20 papers). The work is most often cited by research in Computational Theory and Mathematics (865 citations), Materials Chemistry (2.1k citations) and Molecular Biology (2.7k citations). Pratyush Tiwary has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Michele Parrinello, B. J. Berne, Axel van de Walle, Ómar Valsson, Yihang Wang, João Marcelo Lamim Ribeiro, David L. Olmsted, Maarten de Jong, A. Dick and Dongwon Shin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.