Profile
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Fabien Lotte

Bio

Fabien LOTTE obtained a M.Sc., a M.Eng. and a PhD degree in computer sciences, all from the National Institute of Applied Sciences (INSA) Rennes, France, in 2005 (M.Sc., M.Eng.) and 2008 (PhD). His PhD Thesis received both the PhD Thesis award 2009 from AFRIF (French Association for Pattern Recognition) and the PhD Thesis award 2009 accessit (2nd prize) from ASTI (French Association for Information Sciences and Technologies). In 2009 and 2010, he was a research fellow at the Institute for Infocomm Research (I2R) in Singapore, working in the Brain-Computer Interface Laboratory. Since January 2011, he is a Research Scientist (with tenure) at Inria Bordeaux Sud-Ouest, France, in team Potioc (http://team.inria.fr/potioc/). His research interests include Brain-Computer Interfaces (BCI), human-computer interaction, pattern recognition and brain signal processing. He is part of the editorial boards of the journals Brain-Computer Interfaces (since 2016) and Journal of Neural Engineering (since 2016). He is the co-editor of the books "Brain-Computer Interfaces 1: foundations and methods" and "Brain-Computer Interfaces 2: technology and applications", published both in French and in English in 2016. In 2016, he was the recipient of the prestigious ERC Starting Grant to pursue his research on BCI.

Editorial Board Memberships
Current Memberships
Has reviewed for

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Pre Publication Reviews

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Reviews

138

Reviews (last 12 months)

32

Reviews (average per year)

19

Merit

414

Openness

0.0%

Review to Publication ratio

7.3:1


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Fabien Lotte has reviewed for.

Fabien Lotte

All fields reviewers

Total reviews over time

A cumulative record of Fabien Lotte's total number of reviews.

Reviews per month

The total number of reviews performed by Fabien Lotte each month.

Average review length

The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.