Éric Fabre

1.5k citations
55 papers · 882 · h-index 15

Impact in

Papers in

Éric Fabre

50 papers receiving 849 citations

Peers

Éric Fabre
Comparison fields: 5 of 49
  • Computational Theory and Mathematics 551
  • Management Information Systems 170
  • Industrial and Manufacturing Engineering 163
  • Computer Networks and Communications 358
  • Software 39
Replace Karen Rudie with:
Karen Rudie Canada
Jean-Jacques Lesage France
Lilian K. Carvalho Brazil
Hervé Marchand France
Gianfranco Lamperti Italy
K. G. Ramakrishnan United States
Anooshiravan Saboori United States
J. Campos Spain
Serge Haddad France
D. Dubois France
Éric Fabre relative to Karen Rudie Canada Karen Rudie's profile →
Citations per field
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Karen Rudie · 1×
Citations per year

Countries citing papers authored by Éric Fabre

Since Specialization
Citations

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

Fields of papers citing papers by Éric Fabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Fabre, 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 Éric Fabre Line = papers co-authored together Éric Fabre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003194
2 200192
3 199880
4 200559
5 201938
6 200330
7 200229
8 200226
9 200225
10 201025
11 200324
12 200420
13 199517
14 200717
15 200314
16 200213
17 199612
18 200211
19 200210
20 200310

About Éric Fabre

Éric Fabre is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering and Management Information Systems, having authored 55 papers that have together received 882 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (31 papers), Distributed systems and fault tolerance (18 papers), Formal Methods in Verification (18 papers), Fault Detection and Control Systems (9 papers), Error Correcting Code Techniques (7 papers), Business Process Modeling and Analysis (7 papers), Software System Performance and Reliability (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Computational Theory and Mathematics (551 citations), Management Information Systems (170 citations), Industrial and Manufacturing Engineering (163 citations), Computer Networks and Communications (358 citations) and Software (39 citations). Éric Fabre has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Albert Benveniste, Claude Jard, Stefan Haar, Christine Guillemot, Arnaud Guyader, Armen Aghasaryan, Gregor Gößler, Imen Grida Ben Yahia, Paul Le Guernic and Bernard C. Levy. Their work appears in journals such as Discrete Event Dynamic Systems, IEEE Transactions on Automatic Control, IEEE Transactions on Network and Service Management, IEEE Journal on Selected Areas in Communications and Bioinformatics.

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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