Jesse Kamp
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
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- Complexity and Algorithms in Graphs
Papers in
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- Distributed systems and fault tolerance 4
- Advanced Database Systems and Queries 4
- Optimization and Search Problems 1
- Advanced Data Storage Technologies 1
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- Cloud Computing and Resource Management 5
- Co-authors
- David Zuckerman (4 shared papers)Salil Vadhan (2 shared papers)Anup Rao (2 shared papers)Niloy J. Mukherjee (6 shared papers)Mohamed Zaït (3 shared papers)Dinesh Das (3 shared papers)Tirthankar Lahiri (5 shared papers)Allison L. Holloway (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)SIAM Journal on Computing (1 paper)Journal of Computer and System Sciences (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jesse Kamp
10 papers receiving 265 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 143
- Computational Theory and Mathematics 79
- Artificial Intelligence 152
- Signal Processing 38
- Hardware and Architecture 23
Countries citing papers authored by Jesse Kamp
This map shows the geographic impact of Jesse Kamp'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 Jesse Kamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Kamp more than expected).
Fields of papers citing papers by Jesse Kamp
This network shows the impact of papers produced by Jesse Kamp. 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 Jesse Kamp. The network helps show where Jesse Kamp may publish in the future.
Co-authors
The 11 scholars most cited alongside Jesse Kamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 82 | |
| 2 | 2006 | 61 | |
| 3 | 2004 | 43 | |
| 4 | 2006 | 30 | |
| 5 | 2010 | 23 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 1 |
About Jesse Kamp
Jesse Kamp is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 292 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Database Systems and Queries (4 papers), Cryptography and Data Security (2 papers), Algorithms and Data Compression (2 papers), Chaos-based Image/Signal Encryption (2 papers), Optimization and Search Problems (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (143 citations), Computational Theory and Mathematics (79 citations), Artificial Intelligence (152 citations), Signal Processing (38 citations) and Hardware and Architecture (23 citations). Jesse Kamp has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include David Zuckerman, Salil Vadhan, Anup Rao, Niloy J. Mukherjee, Mohamed Zaït, Dinesh Das, Tirthankar Lahiri, Allison L. Holloway, Hui Jin and Xiaoming He. Their work appears in journals such as Proceedings of the VLDB Endowment, SIAM Journal on Computing, Journal of Computer and System Sciences and Digital Access to Scholarship at Harvard (DASH) (Harvard University).
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.