Arya Mazumdar
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Alexander BargViveck R. CadambeAnkit Singh RawatGregory W. WornellSriram VishwanathVenkat ChandarMilad NasrAmir Houmansadr
- Topics
- Sparse and Compressive Sensing Techniques (13 papers)Coding theory and cryptography (13 papers)Error Correcting Code Techniques (12 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Journal on Selected Areas in CommunicationsJournal of the ACM
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Arya Mazumdar
58 papers receiving 567 citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 362
- Artificial Intelligence 328
- Computational Theory and Mathematics 165
- Electrical and Electronic Engineering 144
- Molecular Biology 62
Countries citing papers authored by Arya Mazumdar
This map shows the geographic impact of Arya Mazumdar'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 Arya Mazumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arya Mazumdar more than expected).
Fields of papers citing papers by Arya Mazumdar
This network shows the impact of papers produced by Arya Mazumdar. 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 Arya Mazumdar. The network helps show where Arya Mazumdar may publish in the future.
Co-authorship network of co-authors of Arya Mazumdar
This figure shows the co-authorship network connecting the top 25 collaborators of Arya Mazumdar. A scholar is included among the top collaborators of Arya Mazumdar 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 Arya Mazumdar. Arya Mazumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | Sample Complexity of Learning Mixture of Sparse Linear Regressions | 2 |
| 7 | 32 | |
| 8 | Multilabel Classification with Group Testing and Codes | 6 |
| 9 | Query Complexity of Clustering with Side Information | 8 |
| 10 | Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding | 1 |
| 11 | Clustering with Noisy Queries | 6 |
| 12 | 18 | |
| 13 | 2 | |
| 14 | Associative memory via a sparse recovery model | 1 |
| 15 | Compression in the Space of Permutations | 7 |
| 16 | Low Rank Approximation using Error Correcting Coding Matrices | 4 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | Analysis of bipartite graph codes on the binary erasure channel | 1 |
About Arya Mazumdar
Arya Mazumdar is a scholar working on Computational Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 66 papers that have together received 589 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Coding theory and cryptography (13 papers) and Error Correcting Code Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (362 citations), Computational Theory and Mathematics (165 citations) and Artificial Intelligence (328 citations). Arya Mazumdar has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Alexander Barg, Viveck R. Cadambe, Ankit Singh Rawat, Gregory W. Wornell, Sriram Vishwanath, Venkat Chandar, Milad Nasr, Amir Houmansadr, Barna Saha and Yury Polyanskiy. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Journal of the ACM.
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.