Laurent Madelain

77 total papers · 596 total citations
32 papers, 441 citations indexed

About

Laurent Madelain is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Laurent Madelain has authored 32 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 4 papers in Molecular Biology. Recurrent topics in Laurent Madelain's work include Visual perception and processing mechanisms (26 papers), Neural and Behavioral Psychology Studies (15 papers) and Multisensory perception and integration (7 papers). Laurent Madelain is often cited by papers focused on Visual perception and processing mechanisms (26 papers), Neural and Behavioral Psychology Studies (15 papers) and Multisensory perception and integration (7 papers). Laurent Madelain collaborates with scholars based in France, United States and United Kingdom. Laurent Madelain's co-authors include Richard J. Krauzlis, Josh Wallman, Mark Harwood, James P. Herman, Alan Chauvin, Anna Montagnini, Annabelle Blangero, Laurent Perrinet, Frédéric Danion and Robert J. van Beers and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Laurent Madelain

30 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laurent Madelain 398 80 68 50 43 32 441
Daniela Zambarbieri 224 0.6× 90 1.1× 77 1.1× 46 0.9× 13 0.3× 31 456
Gerrit W. Maus 382 1.0× 84 1.1× 26 0.4× 44 0.9× 25 0.6× 27 448
Reinhart Jürgens 263 0.7× 55 0.7× 108 1.6× 48 1.0× 19 0.4× 16 465
Luigi F. Cuturi 406 1.0× 175 2.2× 82 1.2× 59 1.2× 7 0.2× 37 493
Raiju J. Babu 319 0.8× 25 0.3× 53 0.8× 44 0.9× 31 0.7× 17 482
Denis Sheynikhovich 323 0.8× 27 0.3× 29 0.4× 17 0.3× 33 0.8× 19 451
Rémy Allard 326 0.8× 46 0.6× 27 0.4× 13 0.3× 24 0.6× 50 417
Masako Matsuzawa 398 1.0× 39 0.5× 37 0.5× 12 0.2× 31 0.7× 10 447
Ómar I. Jóhannesson 377 0.9× 128 1.6× 12 0.2× 59 1.2× 19 0.4× 24 469
Petra A. Arndt 294 0.7× 126 1.6× 22 0.3× 17 0.3× 12 0.3× 18 393

Countries citing papers authored by Laurent Madelain

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Madelain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Madelain

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Madelain. A scholar is included among the top collaborators of Laurent Madelain 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 Laurent Madelain. Laurent Madelain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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