Stephen Dawson

512 citations
20 papers · 387 · h-index 10

Impact in

Papers in

    • Software System Performance and Reliability 7
    • Network Traffic and Congestion Control 4
    • Wireless Communication Networks Research 2
    • Service-Oriented Architecture and Web Services 5
    • Cloud Computing and Resource Management 4

Stephen Dawson

20 papers receiving 345 citations

Peers

Stephen Dawson
Comparison fields: 5 of 74
  • Computer Networks and Communications 154
  • Information Systems 142
  • Microbiology 29
  • Infectious Diseases 70
  • Software 16
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Haijun Cao China
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Vinay K. Aggarwal United States
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Stephen Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 198964
2 198659
3 201159
4 200954
5 200925
6 198624
7 201124
8 198823
9 200016
10 201011
11 19987
12 20105
13 20064
14
A taxonomy-driven approach for performance measurement and modelling in service oriented architectures
20083
15 20042
16 20042
17 20122
18 20001
19 20111
20 20121

About Stephen Dawson

Stephen Dawson is a scholar working on Computer Networks and Communications, Information Systems, Sociology and Political Science, Infectious Diseases and General Health Professions, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Software System Performance and Reliability (7 papers), Service-Oriented Architecture and Web Services (5 papers), Cloud Computing and Resource Management (4 papers), Network Traffic and Congestion Control (4 papers), Sex work and related issues (3 papers), HIV/AIDS Research and Interventions (3 papers), Advanced Queuing Theory Analysis (2 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Computer Networks and Communications (154 citations), Information Systems (142 citations), Microbiology (29 citations), Infectious Diseases (70 citations) and Software (16 citations). Stephen Dawson has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Giuliano Casale, Diwakar Krishnamurthy, Ken McLean, K D MacRae, R A Bond, Gerard Parr, Sally McClean, Bryan Scotney, Jerry Rolia and Adam G. Lawrence. Their work appears in journals such as International Journal of STD & AIDS, AIDS, Sexually Transmitted Infections, IEEE Transactions on Software Engineering and British Journal of Dermatology.

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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