Jon Crowcroft

37.9k total citations · 12 hit papers
527 papers, 22.4k citations indexed

About

Jon Crowcroft is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Jon Crowcroft has authored 527 papers receiving a total of 22.4k indexed citations (citations by other indexed papers that have themselves been cited), including 369 papers in Computer Networks and Communications, 131 papers in Electrical and Electronic Engineering and 90 papers in Information Systems. Recurrent topics in Jon Crowcroft's work include Caching and Content Delivery (113 papers), Opportunistic and Delay-Tolerant Networks (106 papers) and Network Traffic and Congestion Control (97 papers). Jon Crowcroft is often cited by papers focused on Caching and Content Delivery (113 papers), Opportunistic and Delay-Tolerant Networks (106 papers) and Network Traffic and Congestion Control (97 papers). Jon Crowcroft collaborates with scholars based in United Kingdom, United States and Spain. Jon Crowcroft's co-authors include Pan Hui, Eiko Yoneki, Zheng Wang, Christophe Diot, Wenjun Hu, Dina Katabi, Hariharan Rahul, Muriel Médard, Augustin Chaintreau and James Scott and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

Jon Crowcroft

488 papers receiving 20.8k citations

Hit Papers

XORs in the Air: Practica... 1993 2026 2004 2015 2008 1996 2011 2005 2007 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jon Crowcroft 17.6k 5.6k 2.8k 2.8k 1.7k 527 22.4k
David R. Karger 20.2k 1.2× 4.1k 0.7× 6.5k 2.3× 5.0k 1.8× 1.5k 0.9× 279 29.6k
Ben Y. Zhao 9.9k 0.6× 2.0k 0.4× 4.1k 1.5× 3.8k 1.3× 1.7k 1.0× 227 15.5k
Feng Xia 5.2k 0.3× 2.6k 0.5× 3.6k 1.3× 3.1k 1.1× 535 0.3× 470 12.8k
Jiangchuan Liu 8.3k 0.5× 3.7k 0.7× 1.9k 0.7× 2.2k 0.8× 1.0k 0.6× 585 14.1k
Robert Morris 31.2k 1.8× 6.1k 1.1× 3.7k 1.3× 4.2k 1.5× 1.3k 0.8× 206 34.2k
Pan Hui 9.4k 0.5× 2.9k 0.5× 1.4k 0.5× 2.2k 0.8× 576 0.3× 388 13.8k
Éva Tardos 6.5k 0.4× 1.5k 0.3× 2.6k 0.9× 1.8k 0.6× 1.2k 0.7× 155 18.5k
Giacomo Morabito 10.2k 0.6× 4.4k 0.8× 1.7k 0.6× 3.2k 1.1× 605 0.4× 149 15.1k
Sue Moon 5.8k 0.3× 1.3k 0.2× 2.4k 0.8× 2.3k 0.8× 2.2k 1.3× 108 11.6k
Prasant Mohapatra 6.7k 0.4× 5.3k 0.9× 1.8k 0.6× 1.4k 0.5× 631 0.4× 408 11.5k

Countries citing papers authored by Jon Crowcroft

Since Specialization
Citations

This map shows the geographic impact of Jon Crowcroft'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 Jon Crowcroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Crowcroft more than expected).

Fields of papers citing papers by Jon Crowcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Crowcroft. 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 Jon Crowcroft. The network helps show where Jon Crowcroft may publish in the future.

Co-authorship network of co-authors of Jon Crowcroft

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Crowcroft. A scholar is included among the top collaborators of Jon Crowcroft 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 Jon Crowcroft. Jon Crowcroft 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.
Li, Kai, Xin Yuan, Wei Ni, et al.. (2025). A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT. IEEE Networking Letters. 7(2). 83–87. 1 indexed citations
2.
Behfar, Stefan Kambiz & Jon Crowcroft. (2024). Decentralized crowdsourcing medical data sharing platform to obtain chronological rare data. SHILAP Revista de lepidopterología. 6. 2 indexed citations
3.
Peltonen, Ella, Nitinder Mohan, Tri Nguyen, et al.. (2023). Perspectives on Negative Research Results in Pervasive Computing. IEEE Pervasive Computing. 22(3). 63–72. 1 indexed citations
4.
Zhou, Pengyuan, Lik‐Hang Lee, Abbas Mehrabi, et al.. (2022). Federated split GANs for collaborative training with heterogeneous devices. Software Impacts. 14. 100436–100436. 1 indexed citations
5.
Zhao, Jianxin, et al.. (2022). Parallel and Memory-Efficient Distributed Edge Learning in B5G IoT Networks. IEEE Journal of Selected Topics in Signal Processing. 17(1). 222–233. 4 indexed citations
6.
Phillips, Iain, et al.. (2022). Revisiting legacy high-speed TCP congestion control variants: An optimisation-theoretic analysis of multi-mode TCP. Simulation Modelling Practice and Theory. 118. 102542–102542. 2 indexed citations
7.
Zhao, Jianxin, Xinyu Chang, Chi Harold Liu, et al.. (2022). Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning. IEEE Transactions on Network Science and Engineering. 10(3). 1352–1363. 8 indexed citations
8.
Xu, Dianlei, Tong Li, Yong Li, et al.. (2021). Edge Intelligence: Empowering Intelligence to the Edge of Network. Proceedings of the IEEE. 109(11). 1778–1837. 139 indexed citations
9.
Zhao, Jianxin, Rui Han, Chi Harold Liu, et al.. (2021). Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Transactions on Services Computing. 15(2). 614–626. 15 indexed citations
10.
Tahat, Ashraf, et al.. (2020). An Analysis of a Stochastic ON-OFF Queueing Mobility Model for Software-Defined Vehicle Networks. IEEE Transactions on Mobile Computing. 21(5). 1552–1565. 9 indexed citations
11.
Liu, Chi Harold, Zipeng Dai, Yinuo Zhao, et al.. (2019). Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 20(1). 130–146. 94 indexed citations
12.
Oughton, Edward J., et al.. (2019). An Open-Source Techno-Economic Assessment Framework for 5G Deployment. IEEE Access. 7. 155930–155940. 53 indexed citations
13.
Xu, Dianlei, Yong Li, Xinlei Chen, et al.. (2018). A Survey of Opportunistic Offloading. IEEE Communications Surveys & Tutorials. 20(3). 2198–2236. 109 indexed citations
14.
Liu, Chi Harold, Jie Xu, Jian Tang, & Jon Crowcroft. (2018). Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach. IEEE Transactions on Knowledge and Data Engineering. 31(11). 2200–2212. 14 indexed citations
15.
Quercia, Daniele, Ilias Leontiadis, Liam McNamara, Cecilia Mascolo, & Jon Crowcroft. (2011). SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones. 363–372. 48 indexed citations
16.
Miller, John L. & Jon Crowcroft. (2009). Avatar movement in World of Warcraft battlegrounds. 1–6. 24 indexed citations
17.
Slater, Mel, et al.. (2003). Making the network visible to the user in virtual environments and online games. UCL Discovery (University College London). 1 indexed citations
18.
Crowcroft, Jon, et al.. (2002). TCP/IP and Linux protocol implementation. Cambridge University Engineering Department Publications Database. 7 indexed citations
19.
Crowcroft, Jon, et al.. (1990). Shortest path first with emergency exits. ACM SIGCOMM Computer Communication Review. 20(4). 166–176. 50 indexed citations
20.
Crowcroft, Jon, et al.. (1990). Shortest path first with emergency exits. 166–176. 37 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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