Guy Bégin

438 citations
15 papers · 312 · h-index 5

Impact in

Papers in

Journals
IEEE Transactions on Communications (4 papers)IEEE Transactions on Computers (1 paper)Cluster Computing (1 paper)Proceedings of the Canadian Engineering Education Association (CEEA) (1 paper)PolyPublie (École Polytechnique de Montréal) (1 paper)
Partner nations
CanadaGermanyFrance

In The Last Decade

Guy Bégin

13 papers receiving 294 citations

Peers

Guy Bégin
Comparison fields: 5 of 26
  • Computer Networks and Communications 253
  • Electrical and Electronic Engineering 262
  • Artificial Intelligence 76
  • Hardware and Architecture 8
  • Computer Vision and Pattern Recognition 21
Replace Hideyuki Torii with:
Hideyuki Torii Japan
Si-Hyeon Lee South Korea
Pin-Hsun Lin Germany
Hoojin Lee South Korea
Sanchit Goel United States
Yiqun Ge Canada
Chetan Nanjunda Mathur United States
Francisco García-Herrero Spain
Furkan Ercan Canada
Frank Kienle Germany
Guy Bégin relative to Hideyuki Torii Japan Hideyuki Torii's profile →
Citations per field
00.5×4.7×
Hideyuki Torii · 1×
Citations per year

Countries citing papers authored by Guy Bégin

Since Specialization
Citations

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

Fields of papers citing papers by Guy Bégin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Guy Bégin, 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 Guy Bégin Line = papers co-authored together Guy Bégin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1989202
2 199051
3 198929
4 19996
5 20016
6 20234
7 20084
8 20243
9 20242
10 20242
11 20241
12 19941
13 20131
14 20020
15 20050

About Guy Bégin

Guy Bégin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (7 papers), Blockchain Technology Applications and Security (5 papers), Error Correcting Code Techniques (4 papers), IoT and Edge/Fog Computing (4 papers), Coding theory and cryptography (3 papers), Algorithms and Data Compression (2 papers), Caching and Content Delivery (1 paper) and Problem and Project Based Learning (1 paper). The work is most often cited by research in Computer Networks and Communications (253 citations), Electrical and Electronic Engineering (262 citations), Artificial Intelligence (76 citations), Hardware and Architecture (8 citations) and Computer Vision and Pattern Recognition (21 citations). Guy Bégin has collaborated with scholars based in Canada, Germany and France. Frequent co-authors include David Haccoun, Claude Thibeault, Patrick Charland and Guy Tremblay. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Computers, Cluster Computing, Proceedings of the Canadian Engineering Education Association (CEEA) and PolyPublie (École Polytechnique de Montréal).

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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