Ragesh Jaiswal
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Nir AilonClaire MonteleoniRussell ImpagliazzoValentine KabanetsEmanuele ViolaIlias DiakonikolasParikshit GopalanAvi Wigderson
- Topics
- Complexity and Algorithms in Graphs (11 papers)Machine Learning and Algorithms (7 papers)Cryptography and Data Security (4 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ragesh Jaiswal
24 papers receiving 270 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 211
- Computational Theory and Mathematics 129
- Signal Processing 66
- Computer Networks and Communications 49
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Ragesh Jaiswal
This map shows the geographic impact of Ragesh Jaiswal'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 Ragesh Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ragesh Jaiswal more than expected).
Fields of papers citing papers by Ragesh Jaiswal
This network shows the impact of papers produced by Ragesh Jaiswal. 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 Ragesh Jaiswal. The network helps show where Ragesh Jaiswal may publish in the future.
Co-authorship network of co-authors of Ragesh Jaiswal
This figure shows the co-authorship network connecting the top 25 collaborators of Ragesh Jaiswal. A scholar is included among the top collaborators of Ragesh Jaiswal 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 Ragesh Jaiswal. Ragesh Jaiswal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | Streaming PTAS for Binary 𝓁 0 -Low Rank Approximation. | 1 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 18 | |
| 13 | 12 | |
| 14 | Streaming k-means approximation | 88 |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | Thin-Film Thermocouples for Turbine Hot-Cascade Testing | 5 |
About Ragesh Jaiswal
Ragesh Jaiswal is a scholar working on Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 27 papers that have together received 316 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (11 papers), Machine Learning and Algorithms (7 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Artificial Intelligence (211 citations) and Signal Processing (66 citations). Ragesh Jaiswal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Nir Ailon, Claire Monteleoni, Russell Impagliazzo, Valentine Kabanets, Emanuele Viola, Ilias Diakonikolas, Parikshit Gopalan, Avi Wigderson, Rocco A. Servedio and Amit Kumar. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science and Algorithmica.
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.