Guy-Vincent Jourdan
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Spam and Phishing Detection 13
- Web Application Security Vulnerabilities 10
- Web Data Mining and Analysis 8
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- Network Security and Intrusion Detection 8
- Co-authors
- Gregor von Bochmann (15 shared papers)Hasan Ural (7 shared papers)Qian Cui (3 shared papers)Hüsnü Yenigün (6 shared papers)Claude Jard (6 shared papers)Paula Branco (13 shared papers)Herna L. Viktor (5 shared papers)Carlisle Adams (2 shared papers)
- Journals
- IEEE Access (2 papers)IEEE Internet Computing (1 paper)Blockchain Research and Applications (1 paper)Science of Computer Programming (1 paper)Formal Aspects of Computing (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Guy-Vincent Jourdan
55 papers receiving 405 citations
Peers
Comparison fields: 5 of 52
- Software 80
- Signal Processing 156
- Information Systems 268
- Computer Networks and Communications 153
- Artificial Intelligence 134
Countries citing papers authored by Guy-Vincent Jourdan
This map shows the geographic impact of Guy-Vincent Jourdan'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-Vincent Jourdan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy-Vincent Jourdan more than expected).
Fields of papers citing papers by Guy-Vincent Jourdan
This network shows the impact of papers produced by Guy-Vincent Jourdan. 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-Vincent Jourdan. The network helps show where Guy-Vincent Jourdan may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy-Vincent Jourdan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2020 | 40 | |
| 3 | 2014 | 19 | |
| 4 | 2015 | 17 | |
| 5 | 2012 | 16 | |
| 6 | 2014 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 1995 | 12 | |
| 10 | 2010 | 12 | |
| 11 | 2009 | 12 | |
| 12 | 1994 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2002 | 8 |
About Guy-Vincent Jourdan
Guy-Vincent Jourdan is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Software, having authored 63 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (20 papers), Software Testing and Debugging Techniques (14 papers), Spam and Phishing Detection (13 papers), Web Application Security Vulnerabilities (10 papers), Software Reliability and Analysis Research (8 papers), Network Security and Intrusion Detection (8 papers), Web Data Mining and Analysis (8 papers) and VLSI and Analog Circuit Testing (6 papers). The work is most often cited by research in Software (80 citations), Signal Processing (156 citations), Information Systems (268 citations), Computer Networks and Communications (153 citations) and Artificial Intelligence (134 citations). Guy-Vincent Jourdan has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Gregor von Bochmann, Hasan Ural, Qian Cui, Hüsnü Yenigün, Claude Jard, Paula Branco, Herna L. Viktor, Carlisle Adams, Jean-Xavier Rampon and Robert M. Hierons. Their work appears in journals such as IEEE Access, IEEE Internet Computing, Blockchain Research and Applications, Science of Computer Programming and Formal Aspects of Computing.
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.