Kyle Schomp
Impact in
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- Network Security and Intrusion Detection
- Caching and Content Delivery
- Network Traffic and Congestion Control
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
Papers in
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- Caching and Content Delivery 6
- Network Security and Intrusion Detection 4
- Opportunistic and Delay-Tolerant Networks 3
- Network Traffic and Congestion Control 2
- Mobile Agent-Based Network Management 2
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- IPv6, Mobility, Handover, Networks, Security 7
- Co-authors
- Michael Rabinovich (6 shared papers)Mark Allman (4 shared papers)Matteo Varvello (3 shared papers)Jeremy Blackburn (3 shared papers)Konstantina Papagiannaki (3 shared papers)David Naylor (3 shared papers)Diego López (2 shared papers)Peter Steenkiste (2 shared papers)
- Journals
- ACM SIGCOMM Computer Communication Review (2 papers)Lecture notes in computer science (5 papers)
- Partner nations
- United StatesSpain
In The Last Decade
Kyle Schomp
12 papers receiving 344 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 315
- Artificial Intelligence 211
- Hardware and Architecture 36
- Signal Processing 44
- Electrical and Electronic Engineering 131
Countries citing papers authored by Kyle Schomp
This map shows the geographic impact of Kyle Schomp'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 Kyle Schomp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Schomp more than expected).
Fields of papers citing papers by Kyle Schomp
This network shows the impact of papers produced by Kyle Schomp. 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 Kyle Schomp. The network helps show where Kyle Schomp may publish in the future.
Co-authors
The 13 scholars most cited alongside Kyle Schomp, 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 | 81 | |
| 2 | 2013 | 80 | |
| 3 | 2016 | 37 | |
| 4 | 2014 | 33 | |
| 5 | 2015 | 26 | |
| 6 | 2020 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2016 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 5 |
About Kyle Schomp
Kyle Schomp is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Strategy and Management and Media Technology, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (7 papers), Caching and Content Delivery (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Network Security and Intrusion Detection (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Network Traffic and Congestion Control (2 papers), Mobile Agent-Based Network Management (2 papers) and Digital Platforms and Economics (1 paper). The work is most often cited by research in Computer Networks and Communications (315 citations), Artificial Intelligence (211 citations), Hardware and Architecture (36 citations), Signal Processing (44 citations) and Electrical and Electronic Engineering (131 citations). Kyle Schomp has collaborated with scholars based in United States and Spain. Frequent co-authors include Michael Rabinovich, Mark Allman, Matteo Varvello, Jeremy Blackburn, Konstantina Papagiannaki, David Naylor, Diego López, Peter Steenkiste, Ilias Leontiadis and Pablo Rodríguez. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and Lecture notes in computer science.
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.