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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- Advanced Database Systems and Queries 4
- Distributed systems and fault tolerance 4
- Optimization and Search Problems 1
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- Cloud Computing and Resource Management 5
- Cryptography and Residue Arithmetic 1
- Co-authors
- David Zuckerman (4 shared papers)Anup Rao (2 shared papers)Salil Vadhan (2 shared papers)Mohamed Zaït (3 shared papers)Niloy Mukherjee (6 shared papers)Dinesh Das (3 shared papers)Allison Holloway (4 shared papers)Tirthankar Lahiri (5 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 StatesSwitzerlandFrance
In The Last Decade
Jesse Kamp
10 papers receiving 185 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 120
- Computational Theory and Mathematics 53
- Artificial Intelligence 94
- Hardware and Architecture 19
- Signal Processing 29
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 | 72 | |
| 2 | 2006 | 37 | |
| 3 | 2004 | 21 | |
| 4 | 2006 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2015 | 18 | |
| 7 | 2010 | 12 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 1 |
About Jesse Kamp
Jesse Kamp is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 10 papers that have together received 208 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Advanced Database Systems and Queries (4 papers), Distributed systems and fault tolerance (4 papers), Cryptography and Data Security (2 papers), Algorithms and Data Compression (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cryptography and Residue Arithmetic (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computer Networks and Communications (120 citations), Computational Theory and Mathematics (53 citations), Artificial Intelligence (94 citations), Hardware and Architecture (19 citations) and Signal Processing (29 citations). Jesse Kamp has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include David Zuckerman, Anup Rao, Salil Vadhan, Mohamed Zaït, Niloy Mukherjee, Dinesh Das, Allison Holloway, Tirthankar Lahiri, Hui Jin and Zhen Hua Liu. 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.