Rafael Laboissière

1.3k citations
41 papers · 905 indexed · h-index 15

Rafael Laboissière

41 papers receiving 849 citations

Peers

Rafael Laboissière
Comparison fields: 5 of 81
  • Cognitive Neuroscience 434
  • Experimental and Cognitive Psychology 307
  • Biomedical Engineering 261
  • Artificial Intelligence 188
  • Signal Processing 152
Replace Douglas M. Shiller with:
Douglas M. Shiller Canada
Hans-Leo Teulings United States
Philip W. Fink New Zealand
Masaaki Honda Japan
Chi‐Hong Wang Taiwan
Bruno L. Giordano Canada
Isabelle Viaud‐Delmon France
Alejandro Ojeda United States
Sheng-Hsiou Hsu United States
Yi-Huang Su Germany
Rafael Laboissière relative to Douglas M. Shiller Canada Douglas M. Shiller's profile →
Citations per field
00.5×1.5×2.1×
Douglas M. Shiller · 1×
Citations per year

Countries citing papers authored by Rafael Laboissière

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Laboissière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Laboissière

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Laboissière. A scholar is included among the top collaborators of Rafael Laboissière 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 Rafael Laboissière. Rafael Laboissière 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
#WorkIndexed citations
1 1
2 3
3 4
4 2
5 19
6 21
7 13
8 1
9 1
10 14
11 13
12 7
13 7
14 59
15 1
16 60
17 72
18 71
19 32
20 26

About Rafael Laboissière

Rafael Laboissière is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 41 papers that have together received 905 indexed citations. Recurring topics across this work include Motor Control and Adaptation (11 papers), Phonetics and Phonology Research (11 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (307 citations), Cognitive Neuroscience (434 citations) and Physical Therapy, Sports Therapy and Rehabilitation (79 citations). Rafael Laboissière has collaborated with scholars based in France, Canada and United States. Frequent co-authors include David J. Ostry, Vittorio Sanguineti, Paul L. Gribble, Anatol G. Feldman, Pascal Perrier, Jean‐Luc Schwartz, Yohan Payan, Douglas M. Shiller, Xavier Pelorson and Denis Beautemps. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

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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