Olivier De Vel

2.8k citations
44 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Advanced Malware Detection Techniques (13 papers)Network Security and Intrusion Detection (8 papers)Software Engineering Research (5 papers)

In The Last Decade

Olivier De Vel

40 papers receiving 1.5k citations

Hit Papers

Detecting and Preventing Cyber Insider Threats: A Survey2018202620202023201850100150200250

Peers

Olivier De Vel
Comparison fields: 5 of 121
  • Information Systems 877
  • Artificial Intelligence 764
  • Signal Processing 529
  • Computer Networks and Communications 377
  • Computer Vision and Pattern Recognition 246
Replace Jinyin Chen with:
Jinyin Chen China
A. Govardhan India
Qing Xie China
Mohammad Reza Keyvanpour Iran
Marcus A. Maloof United States
Yuan Qi China
Rosli Salleh Malaysia
Ralf Klinkenberg Germany
Deguang Kong United States
He Jiang China
Olivier De Vel relative to Jinyin Chen China Jinyin Chen's profile →
Citations per field
00.5×8.7×
Jinyin Chen · 1×
Citations per year

Countries citing papers authored by Olivier De Vel

Since Specialization
Citations

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

Fields of papers citing papers by Olivier De Vel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivier De Vel. 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 Olivier De Vel. The network helps show where Olivier De Vel may publish in the future.

Co-authorship network of co-authors of Olivier De Vel

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier De Vel. A scholar is included among the top collaborators of Olivier De Vel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olivier De Vel. Olivier De Vel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 13
4 53
5 84
6 4
7 148
8
Detecting and Preventing Cyber Insider Threats: A Surveybreakdown →
266
9 44
10 8
11
An embedded Bayesian Network Hidden Markov model for digital forensics
1
12 5
13 101
14 2
15 1
16 0
17
Multi-Topic E-mail Authorship Attribution Forensics
29
18
Identifying the authors of suspect email
20
19
Mining E-mail Authorship
45
20 8

About Olivier De Vel

Olivier De Vel is a scholar working on Signal Processing, Software and Information Systems, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Network Security and Intrusion Detection (8 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Software (203 citations), Signal Processing (529 citations) and Information Systems (877 citations). Olivier De Vel has collaborated with scholars based in Australia, Hong Kong and United States. Frequent co-authors include George Mohay, Alison Anderson, Malcolm Corney, Jun Zhang, Yang Xiang, D. Coomans, Qing‐Long Han, Paul Montague, Y. Mallet and Guanjun Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Communications Surveys & Tutorials and IEEE Access.

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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