Ian Wakeman

1.5k citations
79 papers · 1.1k · h-index 15

Impact in

Papers in

    • Peer-to-Peer Network Technologies 17
    • Caching and Content Delivery 14
    • Network Traffic and Congestion Control 10
    • Distributed systems and fault tolerance 9
    • Opportunistic and Delay-Tolerant Networks 9
    • Service-Oriented Architecture and Web Services 7

Ian Wakeman

72 papers receiving 985 citations

Peers

Ian Wakeman
Comparison fields: 5 of 62
  • Computer Networks and Communications 872
  • Signal Processing 107
  • Hardware and Architecture 61
  • Computer Vision and Pattern Recognition 172
  • Information Systems 178
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Citations per field
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Citations per year

Countries citing papers authored by Ian Wakeman

Since Specialization
Citations

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

Fields of papers citing papers by Ian Wakeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Wakeman, 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 Ian Wakeman Line = papers co-authored together Ian Wakeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994229
2 1994130
3 200784
4 201673
5 199543
6
Internetworking Multimedia
199940
7
Implementing real time packet forwarding policies using streams
199535
8 199233
9 200131
10 200427
11 199826
12
Towards Yet Another Peer-to-Peer Simulator
200626
13 199325
14 200220
15 201315
16
Natural Language Expression of User Policies in Pervasive Computing Environments
200415
17 201614
18 199513
19 201613
20 201412

About Ian Wakeman

Ian Wakeman is a scholar working on Computer Networks and Communications, Information Systems, Human-Computer Interaction, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (17 papers), Caching and Content Delivery (14 papers), Access Control and Trust (11 papers), Network Traffic and Congestion Control (10 papers), Distributed systems and fault tolerance (9 papers), Opportunistic and Delay-Tolerant Networks (9 papers), Service-Oriented Architecture and Web Services (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (872 citations), Signal Processing (107 citations), Hardware and Architecture (61 citations), Computer Vision and Pattern Recognition (172 citations) and Information Systems (178 citations). Ian Wakeman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Thierry Turletti, Jean-Chrysostome Bolot, Jonathan Andrew Crowcroft, George Parisis, Dan Chalmers, Mark James Handley, Ann Light, Anirban Basu, Tim Owen and Jon Robinson. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computer Communications, Computer Networks, IEEE Network and 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.

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