Mathieu Koppen

1.0k citations
27 papers · 627 · h-index 12

Impact in

Papers in

    • Visual perception and processing mechanisms 11
    • Tactile and Sensory Interactions 4
    • Neural dynamics and brain function 2
    • Intelligent Tutoring Systems and Adaptive Learning 5
    • Natural Language Processing Techniques 3
    • Topic Modeling 3

Mathieu Koppen

25 papers receiving 573 citations

Peers

Mathieu Koppen
Comparison fields: 5 of 91
  • Computer Science Applications 62
  • Artificial Intelligence 318
  • General Decision Sciences 17
  • Developmental and Educational Psychology 109
  • Cognitive Neuroscience 166
Replace Usef Faghihi with:
Usef Faghihi Canada
Marco Ragni Germany
Marcia A. Derr United States
Ute Schmid Germany
Benoı̂t Lemaire France
Vincenzo Lombardo Italy
Johan Kwisthout Netherlands
Joshua C. Peterson United States
Mark Rosenstein United States
Carlos Diuk United States
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Koppen

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Koppen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mathieu Koppen, 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 Mathieu Koppen Line = papers co-authored together Mathieu Koppen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990180
2 200652
3 199052
4 199541
5 199438
6 201638
7 199335
8 201528
9 201825
10 200325
11 201216
12 199811
13 201911
14 201611
15 200810
16 199010
17 20188
18 19878
19 20076
20 20196

About Mathieu Koppen

Mathieu Koppen is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Neurology and Social Psychology, having authored 27 papers that have together received 627 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (11 papers), Multisensory perception and integration (7 papers), Vestibular and auditory disorders (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Tactile and Sensory Interactions (4 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Computer Science Applications (62 citations), Artificial Intelligence (318 citations), General Decision Sciences (17 citations), Developmental and Educational Psychology (109 citations) and Cognitive Neuroscience (166 citations). Mathieu Koppen has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Michael Villano, Jean‐Claude Falmagne, Jean‐Paul Doignon, Leila Johannesen, W. Pieter Medendorp, Luc P. J. Selen, Harold Bekkering, L.G.M. Noordman, Wolfram Erlhagen and Wietske Vonk. Their work appears in journals such as Journal of Neurophysiology, Journal of Mathematical Psychology, Psychological Review, British Journal of Mathematical and Statistical Psychology and Mathematical Social Sciences.

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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