Gareth Tyson

4.7k citations
182 papers · 2.4k · h-index 26

Impact in

Papers in

Gareth Tyson

163 papers receiving 2.3k citations

Peers

Gareth Tyson
Comparison fields: 5 of 109
  • Computer Networks and Communications 1.2k
  • Information Systems 533
  • Communication 157
  • Signal Processing 230
  • Artificial Intelligence 666
Replace Jason R. C. Nurse with:
Jason R. C. Nurse United Kingdom
Aris Anagnostopoulos Italy
Adriano Veloso Brazil
Derek Greene Ireland
Shambhu Upadhyaya United States
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Lucas Dixon United States
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Pasquale De Meo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gareth Tyson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gareth Tyson Line = papers co-authored together Gareth Tyson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020159
2 201298
3 201386
4 201386
5 201774
6 201870
7 201269
8
Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
201566
9 201563
10 201951
11 202151
12 200948
13 201948
14 201947
15 201540
16
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
201238
17 202136
18 201036
19 202234
20 201434

About Gareth Tyson

Gareth Tyson is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Sociology and Political Science and Signal Processing, having authored 182 papers that have together received 2.4k indexed citations. Recurring topics across this work include Caching and Content Delivery (45 papers), Peer-to-Peer Network Technologies (23 papers), Internet Traffic Analysis and Secure E-voting (22 papers), Hate Speech and Cyberbullying Detection (21 papers), Spam and Phishing Detection (21 papers), Advanced Malware Detection Techniques (17 papers), Misinformation and Its Impacts (16 papers) and Social Media and Politics (15 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (533 citations), Communication (157 citations), Signal Processing (230 citations) and Artificial Intelligence (666 citations). Gareth Tyson has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Nishanth Sastry, Steve Uhlig, Ignacio Castro, Andreas Mauthe, Yehia Elkhatib, Jon Crowcroft, Gaogang Xie, Sebastian Kaune, Rubén Cuevas and Ivica Rimac. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, ACM SIGMETRICS Performance Evaluation Review, ACM SIGCOMM Computer Communication Review and ACM Transactions on Multimedia Computing Communications and Applications.

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.

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