Éric Fabre

1.5k citations
67 papers · 1.1k · h-index 17

Impact in

Papers in

Éric Fabre

64 papers receiving 1.1k citations

Peers

Éric Fabre
Comparison fields: 5 of 50
  • Computational Theory and Mathematics 729
  • Management Information Systems 225
  • Industrial and Manufacturing Engineering 200
  • Computer Networks and Communications 431
  • Software 67
Replace Karen Rudie with:
Karen Rudie Canada
Robi Malik New Zealand
Gianfranco Lamperti Italy
Remigiusz Wiśniewski Poland
J. Campos Spain
Lilian K. Carvalho Brazil
Giovanni Chiola Italy
Ulrich Herzog Germany
Anooshiravan Saboori United States
John F. Meyer United States
Éric Fabre relative to Karen Rudie Canada Karen Rudie's profile →
Citations per field
00.5×
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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003228
2 200194
3 199891
4 200579
5 200343
6 201941
7 200232
8 200229
9 200327
10 200327
11 201026
12 201426
13 200225
14 199520
15 200420
16 200719
17 200217
18 200315
19 199613
20 200212

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 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Petri Nets in System Modeling (38 papers), Formal Methods in Verification (25 papers), Distributed systems and fault tolerance (21 papers), Fault Detection and Control Systems (11 papers), Business Process Modeling and Analysis (8 papers), Error Correcting Code Techniques (7 papers), Software System Performance and Reliability (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Computational Theory and Mathematics (729 citations), Management Information Systems (225 citations), Industrial and Manufacturing Engineering (200 citations), Computer Networks and Communications (431 citations) and Software (67 citations). Éric Fabre has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Albert Benveniste, Claude Jard, Stefan Haar, Armen Aghasaryan, Christine Guillemot, Arnaud Guyader, Gregor Gößler, Bernard C. Levy, Imen Grida Ben Yahia and Loı̈c Hélouët. Their work appears in journals such as Discrete Event Dynamic Systems, IEEE Transactions on Automatic Control, IEEE Transactions on Network and Service Management, Lecture notes in control and information sciences and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact