Gareth Tyson
Impact in
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- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Peer-to-Peer Network Technologies
- Cooperative Communication and Network Coding
- Information Systems top 1%
- Spam and Phishing Detection
Papers in
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- Caching and Content Delivery 54
- Peer-to-Peer Network Technologies 30
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- Spam and Phishing Detection 31
- Co-authors
- Steve Uhlig (15 shared papers)Ignacio Varela Castro (42 shared papers)Nishanth Sastry (21 shared papers)Andreas Mauthe (17 shared papers)Jonathan Andrew Crowcroft (9 shared papers)Yehia Elkhatib (11 shared papers)Gaogang Xie (19 shared papers)Félix Cuadrado (7 shared papers)
- Journals
- IEEE/ACM Transactions on Networking (4 papers)IEEE Transactions on Mobile Computing (3 papers)ACM SIGMETRICS Performance Evaluation Review (3 papers)ACM Transactions on the Web (2 papers)Computer Networks (2 papers)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Gareth Tyson
189 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Computer Networks and Communications 1.4k
- Information Systems 702
- Signal Processing 282
- Artificial Intelligence 791
- Communication 152
Countries citing papers authored by Gareth Tyson
This map shows the geographic impact of Gareth Tyson'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 Gareth Tyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Tyson more than expected).
Fields of papers citing papers by Gareth Tyson
This network shows the impact of papers produced by Gareth Tyson. 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 Gareth Tyson. The network helps show where Gareth Tyson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gareth Tyson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 175 | |
| 2 | 2012 | 104 | |
| 3 | 2022 | 99 | |
| 4 | 2013 | 97 | |
| 5 | 2017 | 91 | |
| 6 | 2013 | 90 | |
| 7 | 2018 | 84 | |
| 8 | 2012 | 75 | |
| 9 | 2015 | 69 | |
| 10 | 2019 | 66 | |
| 11 | 2019 | 64 | |
| 12 | 2021 | 62 | |
| 13 | 2019 | 53 | |
| 14 | 2009 | 53 | |
| 15 | 2015 | 51 | |
| 16 | 2010 | 43 | |
| 17 | 2021 | 40 | |
| 18 | 2014 | 40 | |
| 19 | 2015 | 39 | |
| 20 | 2018 | 39 |
About Gareth Tyson
Gareth Tyson is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Communication, having authored 208 papers that have together received 2.9k indexed citations. Recurring topics across this work include Caching and Content Delivery (54 papers), Spam and Phishing Detection (31 papers), Peer-to-Peer Network Technologies (30 papers), Hate Speech and Cyberbullying Detection (25 papers), Internet Traffic Analysis and Secure E-voting (25 papers), Advanced Malware Detection Techniques (23 papers), Misinformation and Its Impacts (18 papers) and Social Media and Politics (16 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (702 citations), Signal Processing (282 citations), Artificial Intelligence (791 citations) and Communication (152 citations). Gareth Tyson has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Steve Uhlig, Ignacio Varela Castro, Nishanth Sastry, Andreas Mauthe, Jonathan Andrew Crowcroft, Yehia Elkhatib, Gaogang Xie, Félix Cuadrado, Aravindh Raman and Sebastian Kaune. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, ACM SIGMETRICS Performance Evaluation Review, ACM Transactions on the Web and Computer Networks.
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.