Stephen D. Strowes

616 citations
14 papers · 257 · h-index 8

Impact in

Papers in

Stephen D. Strowes

13 papers receiving 243 citations

Peers

Stephen D. Strowes
Comparison fields: 5 of 36
  • Computer Networks and Communications 210
  • Hardware and Architecture 34
  • Artificial Intelligence 79
  • Information Systems 39
  • Computer Vision and Pattern Recognition 31
Replace Christophe Chassot with:
Christophe Chassot France
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Gregory Detal Belgium
Alan Johnston United States
José Saldaña Spain
Nicklas Beijar Finland
Jason But Australia
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Salvatore Loreto Sweden
Stephen D. Strowes relative to Christophe Chassot France Christophe Chassot's profile →
Citations per field
00.5×6.7×
Christophe Chassot · 1×
Citations per year

Countries citing papers authored by Stephen D. Strowes

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Strowes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Stephen D. Strowes, 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 D. Strowes Line = papers co-authored together Stephen D. Strowes links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201880
2 200746
3 201040
4 200723
5 202019
6 201318
7 200712
8 20068
9 20134
10 20113
11 20112
12
Debogonising 2a10: : /12: Analysis of One Week's Visibility of a New /12.
20201
13 20121
14 20200

About Stephen D. Strowes

Stephen D. Strowes is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 14 papers that have together received 257 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (7 papers), Software-Defined Networks and 5G (4 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Context-Aware Activity Recognition Systems (3 papers), Network Packet Processing and Optimization (3 papers), Peer-to-Peer Network Technologies (3 papers), Network Security and Intrusion Detection (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (210 citations), Hardware and Architecture (34 citations), Artificial Intelligence (79 citations), Information Systems (39 citations) and Computer Vision and Pattern Recognition (31 citations). Stephen D. Strowes has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Morris Sloman, Emil Lupu, Oliver Gasser, Quirin Scheitle, Georg Carle, Maciej Korczyński, Joe Sventek, Alberto Schaeffer-Filho, Naranker Dulay and Sye Loong Keoh. Their work appears in journals such as Queue, Communications of the ACM, Concurrency and Computation Practice and Experience, Työväentutkimus Vuosikirja and University of Twente Research Information.

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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