Eric Pigeon

437 citations
36 papers · 254 indexed · h-index 9

Eric Pigeon

30 papers receiving 248 citations

Peers

Eric Pigeon
Comparison fields: 5 of 45
  • Control and Systems Engineering 194
  • Automotive Engineering 18
  • Artificial Intelligence 37
  • Statistics, Probability and Uncertainty 8
  • Computational Mechanics 23
Replace Olivier Géhan with:
Olivier Géhan France
Jiayan Jiang China
Marc W. McConley United States
Pablo Borja Netherlands
L.L. Grigsby United States
Anurag Ajay United States
Yanfang Wei China
R.C. Schaefer United States
Hemant Melkote United States
S.C. Bhatt United States
Eric Pigeon relative to Olivier Géhan France Olivier Géhan's profile →
Citations per field
00.5×1.5×
Olivier Géhan · 1×
Citations per year

Countries citing papers authored by Eric Pigeon

Since Specialization
Citations

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

Fields of papers citing papers by Eric Pigeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20238
4 20230
5 20231
6 20221
7 20224
8 20214
9 20203
10 20209
11 20207
12 20191
13 201914
14 20191
15 201614
16 20160
17 201612
18 20132
19 20107
20 20060

About Eric Pigeon

Eric Pigeon is a scholar working on Control and Systems Engineering, Signal Processing, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Bioengineering, having authored 36 papers that have together received 254 indexed citations. Recurring topics across this work include Control Systems and Identification (17 papers), Fault Detection and Control Systems (15 papers), Stability and Control of Uncertain Systems (7 papers), Advanced Control Systems Optimization (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Color Science and Applications (4 papers), Structural Health Monitoring Techniques (3 papers) and Building Energy and Comfort Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (194 citations), Automotive Engineering (18 citations), Artificial Intelligence (37 citations), Statistics, Probability and Uncertainty (8 citations) and Computational Mechanics (23 citations). Eric Pigeon has collaborated with scholars based in France, Saudi Arabia and Mali. Frequent co-authors include Olivier Géhan, M. Farza, M. M’Saad, Krishna Busawon, Tomas Ménard, B. Tala‐Ighil, B. Boudart, Basile Dufay, Mohammed M’Saad and Stéphane Girard. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Scientific Reports, Journal of Dynamic Systems Measurement and Control and International Journal of Robust and Nonlinear Control.

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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