Atish Das Sarma
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Danupon NanongkaiGopal PanduranganRoszilah HamidAditya KhoslaSreenivas GollapudiRina PanigrahyHuiji GaoJiliang Tang
- Topics
- Data Management and Algorithms (13 papers)Complexity and Algorithms in Graphs (12 papers)Peer-to-Peer Network Technologies (8 papers)
- Journals
- Journal of the ACMIEEE Transactions on Knowledge and Data EngineeringSIAM Journal on Computing
- Partner nations
- United StatesSingaporeIreland
In The Last Decade
Atish Das Sarma
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 621
- Computer Networks and Communications 541
- Information Systems 381
- Statistical and Nonlinear Physics 338
- Computational Theory and Mathematics 262
Countries citing papers authored by Atish Das Sarma
This map shows the geographic impact of Atish Das Sarma'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 Atish Das Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atish Das Sarma more than expected).
Fields of papers citing papers by Atish Das Sarma
This network shows the impact of papers produced by Atish Das Sarma. 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 Atish Das Sarma. The network helps show where Atish Das Sarma may publish in the future.
Co-authorship network of co-authors of Atish Das Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of Atish Das Sarma. A scholar is included among the top collaborators of Atish Das Sarma 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 Atish Das Sarma. Atish Das Sarma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 43 | |
| 5 | 1 | |
| 6 | 217 | |
| 7 | 45 | |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 34 | |
| 13 | 51 | |
| 14 | 2 | |
| 15 | 45 | |
| 16 | 84 | |
| 17 | Near-Optimal Sublinear Time Bounds for Distributed Random Walks | 1 |
| 18 | 5 | |
| 19 | 25 | |
| 20 | Generic Text Summarization Using WordNet | 21 |
About Atish Das Sarma
Atish Das Sarma is a scholar working on Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Complexity and Algorithms in Graphs (12 papers) and Peer-to-Peer Network Technologies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (338 citations), Signal Processing (260 citations) and Computer Networks and Communications (541 citations). Atish Das Sarma has collaborated with scholars based in United States, Singapore and Ireland. Frequent co-authors include Danupon Nanongkai, Gopal Pandurangan, Roszilah Hamid, Aditya Khosla, Sreenivas Gollapudi, Rina Panigrahy, Huiji Gao, Jiliang Tang, Huan Liu and Ashwin Lall. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Knowledge and Data Engineering and SIAM Journal on Computing.
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.