Jay Aikat
Impact in
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- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Wireless Networks and Protocols
Papers in
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- Network Traffic and Congestion Control 8
- Mobile Ad Hoc Networks 4
- Software-Defined Networks and 5G 3
- Opportunistic and Delay-Tolerant Networks 3
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- Internet Traffic Analysis and Secure E-voting 3
- Co-authors
- Kevin Jeffay (13 shared papers)F. Donelson Smith (8 shared papers)Jasleen Kaur (2 shared papers)Long Bao Le (4 shared papers)Vyas Sekar (2 shared papers)Aditya Akella (2 shared papers)Thomas Ristenpart (2 shared papers)Michael M. Swift (2 shared papers)
- Journals
- IEEE Security & Privacy (2 papers)IEEE/ACM Transactions on Networking (1 paper)DIAL (Catholic University of Leuven) (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Aikat
15 papers receiving 281 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 263
- Management Information Systems 24
- Artificial Intelligence 81
- Information Systems 44
- Electrical and Electronic Engineering 111
Countries citing papers authored by Jay Aikat
This map shows the geographic impact of Jay Aikat'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 Jay Aikat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Aikat more than expected).
Fields of papers citing papers by Jay Aikat
This network shows the impact of papers produced by Jay Aikat. 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 Jay Aikat. The network helps show where Jay Aikat may publish in the future.
Co-authors
The 12 scholars most cited alongside Jay Aikat, 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 | 2003 | 108 | |
| 2 | 2003 | 67 | |
| 3 | 2007 | 28 | |
| 4 | 2017 | 24 | |
| 5 | 2003 | 14 | |
| 6 | 2015 | 12 | |
| 7 | 2013 | 10 | |
| 8 | 2004 | 8 | |
| 9 | 2016 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2012 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2003 | 2 | |
| 16 | 2012 | 0 |
About Jay Aikat
Jay Aikat is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Management Information Systems and Information Systems, having authored 16 papers that have together received 302 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (8 papers), Mobile Ad Hoc Networks (4 papers), Advanced Optical Network Technologies (3 papers), Software-Defined Networks and 5G (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Image and Video Quality Assessment (2 papers) and Advanced Wireless Network Optimization (2 papers). The work is most often cited by research in Computer Networks and Communications (263 citations), Management Information Systems (24 citations), Artificial Intelligence (81 citations), Information Systems (44 citations) and Electrical and Electronic Engineering (111 citations). Jay Aikat has collaborated with scholars based in United States. Frequent co-authors include Kevin Jeffay, F. Donelson Smith, Jasleen Kaur, Long Bao Le, Vyas Sekar, Aditya Akella, Thomas Ristenpart, Michael M. Swift, Ari Juels and Michael K. Reiter. Their work appears in journals such as IEEE Security & Privacy, IEEE/ACM Transactions on Networking and DIAL (Catholic University of Leuven).
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.