Nicholas Race

1.7k citations
109 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Nicholas Race

96 papers receiving 1.1k citations

Peers

Nicholas Race
Comparison fields: 5 of 77
  • Computer Networks and Communications 737
  • Computer Vision and Pattern Recognition 317
  • Signal Processing 166
  • Human-Computer Interaction 77
  • Information Systems 205
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Martı́n Varela Finland
Lam For Kwok Hong Kong
Enrique Costa‐Montenegro Spain
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Alcardo Alex Barakabitze United Kingdom
José Viterbo Brazil
Andreas Jacobsson Sweden
Ian Fette United States
Katharina Krombholz Germany
Craig Anslow New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas Race

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Race

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20240
4 20233
5 20230
6 20232
7 20221
8 202128
9 201949
10 20172
11 20166
12 201617
13 20162
14
STEER: Exploring the dynamic relationship between social information and networked media through experimentation
20150
15 20155
16 20153
17
STEER: A Social Telemedia Environment for Experimental Research
20120
18 20080
19 20069
20 20051

About Nicholas Race

Nicholas Race is a scholar working on Computer Networks and Communications, Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (35 papers), Peer-to-Peer Network Technologies (29 papers), Multimedia Communication and Technology (27 papers), Software-Defined Networks and 5G (26 papers), Image and Video Quality Assessment (22 papers), Network Security and Intrusion Detection (17 papers), Network Traffic and Congestion Control (10 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Computer Networks and Communications (737 citations), Computer Vision and Pattern Recognition (317 citations), Signal Processing (166 citations), Human-Computer Interaction (77 citations) and Information Systems (205 citations). Nicholas Race has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Matthew Broadbent, Mu Mu, Panagiotis Georgopoulos, Yehia Elkhatib, Keith Mitchell, David Hutchison, Arsham Farshad, John N. Towse, Dimitrios P. Pezaros and Mark Rouncefield. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Multimedia, IEEE Communications Magazine, IEEE Internet Computing and IEEE Transactions on Network and Service Management.

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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