Gareth Tyson

4.6k total citations
173 papers, 2.3k citations indexed

About

Gareth Tyson is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gareth Tyson has authored 173 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 66 papers in Artificial Intelligence and 50 papers in Information Systems. Recurrent topics in Gareth Tyson's work include Caching and Content Delivery (45 papers), Peer-to-Peer Network Technologies (23 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Gareth Tyson is often cited by papers focused on Caching and Content Delivery (45 papers), Peer-to-Peer Network Technologies (23 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Gareth Tyson collaborates with scholars based in United Kingdom, China and Hong Kong. Gareth Tyson's co-authors include Nishanth Sastry, Steve Uhlig, Andreas Mauthe, Ignacio Castro, Yehia Elkhatib, Jon Crowcroft, Gaogang Xie, Sebastian Kaune, Ivica Rimac and Rubén Cuevas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Access.

In The Last Decade

Gareth Tyson

157 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gareth Tyson United Kingdom 26 1.2k 662 523 496 228 173 2.3k
Apu Kapadia United States 31 660 0.6× 1.5k 2.3× 827 1.6× 1.2k 2.5× 494 2.2× 109 3.2k
Michael Sirivianos Cyprus 20 900 0.8× 915 1.4× 936 1.8× 584 1.2× 252 1.1× 47 2.2k
Emiliano De Cristofaro United Kingdom 35 620 0.5× 2.1k 3.2× 830 1.6× 971 2.0× 560 2.5× 130 3.3k
Idílio Drago Italy 16 1000 0.9× 586 0.9× 473 0.9× 100 0.2× 209 0.9× 64 1.6k
Marko Hölbl Slovenia 17 1.5k 1.3× 446 0.7× 1.8k 3.5× 257 0.5× 246 1.1× 52 2.5k
Francesca Rossi Italy 25 1.2k 1.0× 1.8k 2.8× 441 0.8× 284 0.6× 571 2.5× 183 4.0k
Naif Radi Aljohani Saudi Arabia 30 229 0.2× 1.1k 1.6× 613 1.2× 332 0.7× 49 0.2× 120 2.7k
Nishanth Sastry United Kingdom 22 1.2k 1.0× 458 0.7× 348 0.7× 300 0.6× 83 0.4× 132 2.2k
Jason R. C. Nurse United Kingdom 25 712 0.6× 518 0.8× 1.5k 2.9× 749 1.5× 477 2.1× 117 2.5k
Omer Reingold United States 27 593 0.5× 2.7k 4.2× 407 0.8× 385 0.8× 95 0.4× 97 4.1k

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-authorship network of co-authors of Gareth Tyson

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Tyson. A scholar is included among the top collaborators of Gareth Tyson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth Tyson. Gareth Tyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
He, Jiahui, et al.. (2024). Fediverse Migrations: A Study of User Account Portability on the Mastodon Social Network. Queen Mary Research Online (Queen Mary University of London). 68–75. 1 indexed citations
2.
Schubotz, Moritz, et al.. (2024). IPFS in the Fast Lane: Accelerating Record Storage with Optimistic Provide. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1920–1929. 2 indexed citations
3.
Li, Qing, Junkun Peng, Gareth Tyson, et al.. (2024). Smart Data-Driven Proactive Push to Edge Network for User-Generated Videos. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 511–520.
4.
Tian, Yu, et al.. (2024). Cost-Saving Streaming: Unlocking the Potential of Alternative Edge Node Resources. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 580–587.
5.
Castro, Ignacio, et al.. (2024). Detecting Multimodal Fake News with Gated Variational AutoEncoder. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 129–138. 1 indexed citations
6.
Hui, Pan, et al.. (2024). Exploring the Use of Abusive Generative AI Models on Civitai. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6949–6958. 3 indexed citations
7.
Tyson, Gareth, Xiapu Luo, Lei Wu, et al.. (2024). Unveiling the Paradox of NFT Prosperity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 167–177. 4 indexed citations
8.
Tyson, Gareth, et al.. (2024). Piecing Together the Jigsaw Puzzle of Transactions on Heterogeneous Blockchain Networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8(3). 1–27. 2 indexed citations
9.
Ikram, Muhammad, et al.. (2024). Measuring, Characterizing, and Analyzing the Free Web Games Ecosystem. IEEE Transactions on Games. 17(1). 88–101.
10.
Haq, Ehsan-Ul, Gareth Tyson, Lik‐Hang Lee, et al.. (2023). Understanding Characteristics of Catalyst Users in the WallStreetBets Community. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 320–324. 2 indexed citations
11.
Snyder, Peter, et al.. (2023). A First Look at the Privacy Harms of the Public Suffix List. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 383–390. 1 indexed citations
12.
Raman, Aravindh, et al.. (2023). Set in Stone: Analysis of an Immutable Web3 Social Media Platform. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1865–1874. 5 indexed citations
13.
Tyson, Gareth, et al.. (2023). Ghost Booking as a New Philanthropy Channel. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–11.
14.
Sun, Ruoxi, et al.. (2023). Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children’s Apps. arXiv (Cornell University). 2166–2177. 4 indexed citations
15.
Li, Qing, et al.. (2023). IoTBeholder. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(1). 1–26. 9 indexed citations
16.
Castro, Ignacio, et al.. (2023). Flocking to Mastodon: Tracking the Great Twitter Migration. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 111–123. 18 indexed citations
17.
Li, Qing, et al.. (2023). Reparo: QoE-Aware Live Video Streaming in Low-Rate Networks by Intelligent Frame Recovery. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9194–9204. 5 indexed citations
18.
Raman, Aravindh, et al.. (2023). Will Admins Cope? Decentralized Moderation in the Fediverse. arXiv (Cornell University). 3109–3120. 12 indexed citations
19.
Usama, Muhammad, Junaid Qadir, Waleed Iqbal, et al.. (2022). A First Look at CQVID-19 Messages on WhatsApp in Pakistan. Queen Mary Research Online (Queen Mary University of London). 14 indexed citations
20.
Li, Jinyang, Zhenyu Li, Qinghua Wu, & Gareth Tyson. (2022). On Uploading Behavior and Optimizations of a Mobile Live Streaming Service. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1299–1308. 7 indexed citations

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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