Cédric Hébert

438 citations
16 papers · 321 · h-index 8

Impact in

Papers in

Cédric Hébert

16 papers receiving 291 citations

Peers

Cédric Hébert
Comparison fields: 5 of 62
  • Information Systems 133
  • Management Information Systems 46
  • Law 40
  • Computer Networks and Communications 97
  • Artificial Intelligence 101
Replace Danilo Cesar Maganhoto Doneda with:
Danilo Cesar Maganhoto Doneda Brazil
Rüdiger Grimm Germany
Andrew C. M. Hutchison South Africa
Calvin Nobles United States
Daniel Woods United Kingdom
Sven Wohlgemuth Japan
Jean Camp United States
Manuel Hilty Switzerland
Dewi Suci Khairani Indonesia
Igor Bernik Slovenia
Cédric Hébert relative to Danilo Cesar Maganhoto Doneda Brazil Danilo Cesar Maganhoto Doneda's profile →
Citations per field
00.5×1.5×2×2.3×
Danilo Cesar Maganhoto Doneda · 1×
Citations per year

Countries citing papers authored by Cédric Hébert

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Cédric Hébert, 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 Cédric Hébert Line = papers co-authored together Cédric Hébert links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 199985
2 200063
3 201842
4 201735
5 201930
6 200815
7 202114
8 20209
9 20237
10 20226
11 20165
12 20074
13 20223
14 20071
15 20151
16 20221

About Cédric Hébert

Cédric Hébert is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Management Information Systems and Artificial Intelligence, having authored 16 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Information and Cyber Security (5 papers), Service-Oriented Architecture and Web Services (5 papers), Software System Performance and Reliability (5 papers), Network Security and Intrusion Detection (4 papers), Business Process Modeling and Analysis (4 papers), Access Control and Trust (3 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Information Systems (133 citations), Management Information Systems (46 citations), Law (40 citations), Computer Networks and Communications (97 citations) and Artificial Intelligence (101 citations). Cédric Hébert has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Darrell J. Steffensmeier, Rose Dieng, Olivier Corby, Claudio A. Ardagna, Michele Bezzi, Valerio Bellandi, Ernesto Damiani, Francesco Di Cerbo, Paolo Ceravolo and Anderson Santana de Oliveira. Their work appears in journals such as Computers & Electrical Engineering, Pervasive and Mobile Computing, IEEE Security & Privacy, Social Forces and Big Data.

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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