Yash Deshpande
- Statistics and Probability top 5%
- Artificial Intelligence
- Computational Mechanics
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Andrea MontanariEmmanuel AbbéWolfgang KellererÉmile RichardBikash Kumar DeyČedomir StefanovićElchanan MosselSubhabrata Sen
- Topics
- Cooperative Communication and Network Coding (5 papers)Random Matrices and Applications (4 papers)IoT Networks and Protocols (4 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on CommunicationsJournal of Machine Learning Research
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Yash Deshpande
21 papers receiving 176 citations
Peers
Comparison fields: 5 of 49
- Statistics and Probability 67
- Artificial Intelligence 56
- Computational Mechanics 48
- Computer Networks and Communications 38
- Signal Processing 31
Countries citing papers authored by Yash Deshpande
This map shows the geographic impact of Yash Deshpande'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 Yash Deshpande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Deshpande more than expected).
Fields of papers citing papers by Yash Deshpande
This network shows the impact of papers produced by Yash Deshpande. 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 Yash Deshpande. The network helps show where Yash Deshpande may publish in the future.
Co-authorship network of co-authors of Yash Deshpande
This figure shows the co-authorship network connecting the top 25 collaborators of Yash Deshpande. A scholar is included among the top collaborators of Yash Deshpande 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 Yash Deshpande. Yash Deshpande 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | Automated Attendance Monitoring system using discriminative Local Binary Histograms and PostgreSQL | 6 |
| 11 | 6 | |
| 12 | Online Debiasing for Adaptively Collected High-dimensional Data. | 1 |
| 13 | 4 | |
| 14 | Inference in Graphical Models via Semidefinite Programming Hierarchies | 1 |
| 15 | 3 | |
| 16 | Cone-Constrained Principal Component Analysis | 12 |
| 17 | 33 | |
| 18 | 18 | |
| 19 | Linear Bandits in High Dimension and Recommendation Systems | 16 |
| 20 | 8 |
About Yash Deshpande
Yash Deshpande is a scholar working on Statistics and Probability, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 179 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (5 papers), Random Matrices and Applications (4 papers) and IoT Networks and Protocols (4 papers). The work is most often cited by research in Computational Mathematics (7 citations), Statistics and Probability (67 citations) and Acoustics and Ultrasonics (4 citations). Yash Deshpande has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Andrea Montanari, Emmanuel Abbé, Wolfgang Kellerer, Émile Richard, Bikash Kumar Dey, Čedomir Stefanović, Elchanan Mossel, Subhabrata Sen, S. R. Nirmala and Darius Burschka. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Journal of Machine Learning Research.
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.