Patrick Millot

80 papers receiving 1.2k citations

Peers

Patrick Millot
Comparison fields: 5 of 108
  • Radiological and Ultrasound Technology 149
  • Industrial and Manufacturing Engineering 308
  • Social Psychology 438
  • Medical Laboratory Technology 30
  • Statistics, Probability and Uncertainty 94
Replace Tetsuo Sawaragi with:
Tetsuo Sawaragi Japan
Renwick E. Curry United States
Amy R. Pritchett United States
Toshiyuki Inagaki Japan
Karen M. Feigh United States
P.C. Cacciabue Italy
Tolga Kurtoglu United States
David Baudry France
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Walter W. Johnson United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Millot

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Millot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017251
2 1992105
3 200994
4 200773
5 201648
6 200638
7 201137
8 200237
9 201336
10 199234
11 199631
12 199425
13 200822
14 200321
15 201721
16 199116
17
Man-machine cooperative organizations: formal and pragmatic implementation methods
199516
18 201516
19 198814
20 200914

About Patrick Millot

Patrick Millot is a scholar working on Social Psychology, Radiological and Ultrasound Technology, Aerospace Engineering, Surgery and Statistics, Probability and Uncertainty, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (40 papers), Occupational Health and Safety Research (15 papers), Risk and Safety Analysis (12 papers), Healthcare Technology and Patient Monitoring (12 papers), Microwave Imaging and Scattering Analysis (10 papers), Air Traffic Management and Optimization (9 papers), Geophysical Methods and Applications (8 papers) and AI-based Problem Solving and Planning (8 papers). The work is most often cited by research in Radiological and Ultrasound Technology (149 citations), Industrial and Manufacturing Engineering (308 citations), Social Psychology (438 citations), Medical Laboratory Technology (30 citations) and Statistics, Probability and Uncertainty (94 citations). Patrick Millot has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Marie‐Pierre Pacaux‐Lemoine, Damien Trentesaux, Gabriel Zambrano Rey, René Mandiau, Frédéric Vanderhaegen, Brahim Chaib-draa, Serge Debernard, Françoise Anceaux, Christian Pichot and Bernard Moulin. Their work appears in journals such as International Journal of Industrial Ergonomics, Cognition Technology & Work, Artificial Intelligence Review, Computers & Industrial Engineering and International Journal of Human-Computer Studies.

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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