Aurélie Campagne

75 total papers · 1.0k total citations
19 papers, 682 citations indexed

About

Aurélie Campagne is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Social Psychology. According to data from OpenAlex, Aurélie Campagne has authored 19 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Social Psychology. Recurrent topics in Aurélie Campagne's work include EEG and Brain-Computer Interfaces (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Heart Rate Variability and Autonomic Control (8 papers). Aurélie Campagne is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Heart Rate Variability and Autonomic Control (8 papers). Aurélie Campagne collaborates with scholars based in France, United States and Switzerland. Aurélie Campagne's co-authors include Sylvie Charbonnier, Raphaëlle N. Roy, Stéphane Bonnet, Alain Muzet, Thierry Pébayle, Christelle Godin, Jean‐Luc Anton, Reyna L. Gordon, Cyrille Magne and Mireille Besson and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain Research.

In The Last Decade

Aurélie Campagne

18 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Aurélie Campagne	433	250	205	134	78	19	682
Wen-Hung Chao	260 0.6×	225 0.9×	81 0.4×	95 0.7×	136 1.7×	20	583
Nadine Matton	285 0.7×	160 0.6×	260 1.3×	105 0.8×	88 1.1×	32	751
Wilhelm E. Kincses	327 0.8×	320 1.3×	211 1.0×	117 0.9×	48 0.6×	14	603
Weng-Tink Chooi	409 0.9×	235 0.9×	71 0.3×	80 0.6×	47 0.6×	31	754
Klas Ihme	345 0.8×	225 0.9×	250 1.2×	62 0.5×	60 0.8×	47	692
Patrick Craven	328 0.8×	140 0.6×	202 1.0×	56 0.4×	48 0.6×	12	599
Budi Thomas Jap	356 0.8×	456 1.8×	218 1.1×	222 1.7×	100 1.3×	10	704
Lindsey K. McIntire	351 0.8×	141 0.6×	154 0.8×	76 0.6×	59 0.8×	37	722
Christos D. Katsis	303 0.7×	302 1.2×	103 0.5×	161 1.2×	201 2.6×	18	649
Karl F. Van Orden	250 0.6×	214 0.9×	270 1.3×	47 0.4×	20 0.3×	15	682

Countries citing papers authored by Aurélie Campagne

Since Specialization

Citations

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

Fields of papers citing papers by Aurélie Campagne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Campagne

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Campagne. A scholar is included among the top collaborators of Aurélie Campagne 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 Aurélie Campagne. Aurélie Campagne 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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