Aritra Chowdhury
- Molecular Biology
- Materials Chemistry
- Artificial Intelligence top 10%
- Mechanical Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Swagatam DasBülent YenerD. LewisElizabeth J. KautzArnob GhoshBenjamin SchulerDaniel NettelsRitwik Giri
- Topics
- Protein Structure and Dynamics (10 papers)Metaheuristic Optimization Algorithms Research (6 papers)RNA Research and Splicing (6 papers)
- Journals
- NatureProceedings of the National Academy of SciencesAngewandte Chemie International Edition
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Aritra Chowdhury
37 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 514
- Materials Chemistry 288
- Artificial Intelligence 199
- Mechanical Engineering 127
- Computational Theory and Mathematics 115
Countries citing papers authored by Aritra Chowdhury
This map shows the geographic impact of Aritra Chowdhury'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 Aritra Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aritra Chowdhury more than expected).
Fields of papers citing papers by Aritra Chowdhury
This network shows the impact of papers produced by Aritra Chowdhury. 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 Aritra Chowdhury. The network helps show where Aritra Chowdhury may publish in the future.
Co-authorship network of co-authors of Aritra Chowdhury
This figure shows the co-authorship network connecting the top 25 collaborators of Aritra Chowdhury. A scholar is included among the top collaborators of Aritra Chowdhury 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 Aritra Chowdhury. Aritra Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | Extreme dynamics in a biomolecular condensatebreakdown → | 189 |
| 7 | 34 | |
| 8 | 32 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 79 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 44 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 2 |
About Aritra Chowdhury
Aritra Chowdhury is a scholar working on Biophysics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Metaheuristic Optimization Algorithms Research (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Structural Biology (30 citations), Metals and Alloys (30 citations) and Biophysics (65 citations). Aritra Chowdhury has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Swagatam Das, Bülent Yener, D. Lewis, Elizabeth J. Kautz, Arnob Ghosh, Benjamin Schuler, Daniel Nettels, Ritwik Giri, Andrea Sottini and Robert B. Best. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.