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Tom Froese

Bio

Dr. Tom Froese is a faculty member of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM) since 2014. Since 2012 he has also been a member of the Centro de Ciencias de la Complejidad, which is also based at UNAM.

In 2004 Froese received a Master’s degree in Computer Science and Cybernetics from the University of Reading, UK. He then obtained a Doctorate degree in Cognitive Science from the University of Sussex, UK (2010). He continued as a postdoctoral research fellow at the Sackler Centre for Consciousness Science, also at the University of Sussex. Froese then became a JSPS postdoctoral research fellow at the Ikegami Laboratory of the Department of General Systems Studies, University of Tokyo, Japan (2010–2012). Subsequently he was a postdoctoral research fellow at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico (2012-2014).

Froese has published widely on embodied and enactive theories of the dynamics and phenomenology of life, mind, and sociality. Currently he is working on applying the concepts of enactive cognitive science to gain a better understanding of the human mind and its complexities. His homepage can be found at: http://froese.wordpress.com

Editor Records (manuscripts handled as editor)
Pre Publication Reviews

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Reviews

88

Reviews (last 12 months)

9

Reviews (average per year)

12

Merit

264

Openness

9.1%


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Tom Froese has reviewed for.

Tom Froese

All fields reviewers

Total reviews over time

A cumulative record of Tom Froese's total number of reviews.

Reviews per month

The total number of reviews performed by Tom Froese each month.

Average review length

The average number of words per review compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Note: only reviews with associated content are included in the graph below and where content is present we can not guarantee that it is complete or truly the content of the review.

Weekly review punchcard

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