Ranjit Kumaresan
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Iddo BentovVladimir KolesnikovNi TrieuMike RosulekTal MoranPatrick McCorryAndrew MillerPrashant Nalini Vasudevan
- Topics
- Cryptography and Data Security (8 papers)Blockchain Technology Applications and Security (5 papers)Privacy-Preserving Technologies in Data (4 papers)
- Journals
- Information and ComputationarXiv (Cornell University)International Journal of Innovative Science and Research Technology (IJISRT)
- Partner nations
- United StatesIsrael
In The Last Decade
Ranjit Kumaresan
9 papers receiving 441 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 365
- Information Systems 294
- Computer Networks and Communications 109
- Computational Theory and Mathematics 64
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Ranjit Kumaresan
This map shows the geographic impact of Ranjit Kumaresan'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 Ranjit Kumaresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjit Kumaresan more than expected).
Fields of papers citing papers by Ranjit Kumaresan
This network shows the impact of papers produced by Ranjit Kumaresan. 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 Ranjit Kumaresan. The network helps show where Ranjit Kumaresan may publish in the future.
Co-authorship network of co-authors of Ranjit Kumaresan
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjit Kumaresan. A scholar is included among the top collaborators of Ranjit Kumaresan 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 Ranjit Kumaresan. Ranjit Kumaresan 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 | Sprites: Payment Channels that Go Faster than Lightning. | 58 |
| 3 | 39 | |
| 4 | 168 | |
| 5 | 26 | |
| 6 | 48 | |
| 7 | 82 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 15 |
About Ranjit Kumaresan
Ranjit Kumaresan is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence, having authored 10 papers that have together received 451 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Blockchain Technology Applications and Security (5 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Information Systems (294 citations), Artificial Intelligence (365 citations) and Computer Networks and Communications (109 citations). Ranjit Kumaresan has collaborated with scholars based in United States and Israel. Frequent co-authors include Iddo Bentov, Vladimir Kolesnikov, Ni Trieu, Mike Rosulek, Tal Moran, Patrick McCorry, Andrew Miller, Prashant Nalini Vasudevan, Vinod Vaikuntanathan and Jonathan Katz. Their work appears in journals such as Information and Computation, arXiv (Cornell University) and International Journal of Innovative Science and Research Technology (IJISRT).
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.