Mathieu Koppen

1.0k total citations
27 papers, 627 citations indexed

About

Mathieu Koppen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Mathieu Koppen has authored 27 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Mathieu Koppen's work include Visual perception and processing mechanisms (11 papers), Multisensory perception and integration (7 papers) and Vestibular and auditory disorders (6 papers). Mathieu Koppen is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Multisensory perception and integration (7 papers) and Vestibular and auditory disorders (6 papers). Mathieu Koppen collaborates with scholars based in Netherlands, United States and Italy. Mathieu Koppen's co-authors include Jean‐Claude Falmagne, Michael Villano, Jean‐Paul Doignon, Leila Johannesen, W. Pieter Medendorp, Luc P. J. Selen, Raymond H. Cuijpers, Maria Kambouri, Stefan L. Frank and Wietske Vonk and has published in prestigious journals such as PLoS ONE, Psychological Review and Journal of Neurophysiology.

In The Last Decade

Mathieu Koppen

25 papers receiving 573 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathieu Koppen Netherlands 12 318 166 109 88 74 27 627
Marco Ragni Germany 16 349 1.1× 113 0.7× 76 0.7× 29 0.3× 98 1.3× 85 663
Usef Faghihi Canada 10 170 0.5× 62 0.4× 50 0.5× 53 0.6× 15 0.2× 29 435
Ute Schmid Germany 17 488 1.5× 78 0.5× 33 0.3× 108 1.2× 87 1.2× 100 870
Marcia A. Derr United States 10 189 0.6× 335 2.0× 116 1.1× 13 0.1× 70 0.9× 21 669
Johan Kwisthout Netherlands 14 199 0.6× 251 1.5× 94 0.9× 65 0.7× 52 0.7× 49 646
Lawrence J. Mazlack United States 10 320 1.0× 18 0.1× 25 0.2× 38 0.4× 53 0.7× 71 520
Yun-En Liu United States 15 346 1.1× 18 0.1× 242 2.2× 21 0.2× 27 0.4× 29 684
Yousef Al-Ohali Saudi Arabia 14 402 1.3× 275 1.7× 41 0.4× 22 0.3× 172 2.3× 35 1.1k
Benoı̂t Lemaire France 16 285 0.9× 282 1.7× 129 1.2× 15 0.2× 151 2.0× 50 674
Carlos Diuk United States 10 348 1.1× 214 1.3× 37 0.3× 27 0.3× 33 0.4× 16 624

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-authorship network of co-authors of Mathieu Koppen

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Koppen. A scholar is included among the top collaborators of Mathieu Koppen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathieu Koppen. Mathieu Koppen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wijdenes, Leonie Oostwoud, et al.. (2024). Central tendency and serial dependence in vestibular path integration. Journal of Neurophysiology. 132(5). 1481–1493.
2.
Wijdenes, Leonie Oostwoud, et al.. (2022). Natural statistics of head roll: implications for Bayesian inference in spatial orientation. Journal of Neurophysiology. 128(6). 1409–1420. 2 indexed citations
3.
Koppen, Mathieu, et al.. (2019). Time course of the subjective visual vertical during sustained optokinetic and galvanic vestibular stimulation. Journal of Neurophysiology. 122(2). 788–796. 11 indexed citations
4.
Koppen, Mathieu, et al.. (2019). Contributions of optostatic and optokinetic cues to the perception of vertical. Journal of Neurophysiology. 122(2). 480–489. 6 indexed citations
5.
Koppen, Mathieu, et al.. (2018). Causal inference for spatial constancy across whole body motion. Journal of Neurophysiology. 121(1). 269–284. 8 indexed citations
6.
Medendorp, W. Pieter, et al.. (2018). Psychophysical Evaluation of Sensory Reweighting in Bilateral Vestibulopathy. Frontiers in Neurology. 9. 377–377. 25 indexed citations
7.
Koppen, Mathieu, et al.. (2016). Causal Inference for Spatial Constancy across Saccades. PLoS Computational Biology. 12(3). e1004766–e1004766. 38 indexed citations
8.
Koppen, Mathieu, et al.. (2015). Reliability-Based Weighting of Visual and Vestibular Cues in Displacement Estimation. PLoS ONE. 10(12). e0145015–e0145015. 28 indexed citations
9.
Selen, Luc P. J., et al.. (2012). Visual stability across combined eye and body motion. Journal of Vision. 12(12). 8–8. 16 indexed citations
10.
Frank, Stefan L., Mathieu Koppen, L.G.M. Noordman, & Wietske Vonk. (2007). Coherence-driven resolution of referential ambiguity: A computational model. Memory & Cognition. 35(6). 1307–1322. 6 indexed citations
11.
Cuijpers, Raymond H., Hein T. van Schie, Mathieu Koppen, Wolfram Erlhagen, & Harold Bekkering. (2006). Goals and means in action observation: A computational approach. Neural Networks. 19(3). 311–322. 52 indexed citations
12.
Frank, Stefan L., Mathieu Koppen, L.G.M. Noordman, & Wietske Vonk. (2003). Predicting without modeling : A critique of Trabasso and Bartolone. Journal of Experimental Psychology Human Perception & Performance. 374–377.
13.
Frank, Stefan L., Mathieu Koppen, L.G.M. Noordman, & Wietske Vonk. (2003). Modeling knowledge‐based inferences in story comprehension. Cognitive Science. 27(6). 875–910. 25 indexed citations
14.
Koppen, Mathieu. (1998). On alternative representations for knowledge spaces. Mathematical Social Sciences. 36(2). 127–143. 11 indexed citations
15.
Koppen, Mathieu. (1995). Random Utility Representation of Binary Choice Probabilities: Critical Graphs Yielding Critical Necessary Conditions. Journal of Mathematical Psychology. 39(1). 21–39. 41 indexed citations
16.
Kambouri, Maria, Mathieu Koppen, Michael Villano, & Jean‐Claude Falmagne. (1994). Knowledge assessment: tapping human expertise by the QUERY routine. International Journal of Human-Computer Studies. 40(1). 119–151. 38 indexed citations
17.
Koppen, Mathieu. (1993). Extracting Human Expertise for Constructing Knowledge Spaces: An Algorithm. Journal of Mathematical Psychology. 37(1). 1–20. 35 indexed citations
18.
Koppen, Mathieu. (1987). On finding the bidimension of a relation. Journal of Mathematical Psychology. 31(2). 155–178. 8 indexed citations
19.
Koppen, Mathieu & Norman D. Verhelst. (1986). The exact runs test and some large sample approximations. British Journal of Mathematical and Statistical Psychology. 39(2). 168–182. 3 indexed citations
20.
Verhelst, Norman D., et al.. (1985). The exact distribution of an index of agreement between partitions. British Journal of Mathematical and Statistical Psychology. 38(1). 44–57. 1 indexed citations

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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