Mohamed Bennis

119 total papers · 1.9k total citations
80 papers, 1.4k citations indexed

About

Mohamed Bennis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Mohamed Bennis has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 20 papers in Cognitive Neuroscience and 13 papers in Social Psychology. Recurrent topics in Mohamed Bennis's work include Neuroscience and Neuropharmacology Research (21 papers), Neuroendocrine regulation and behavior (13 papers) and Stress Responses and Cortisol (11 papers). Mohamed Bennis is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Neuroendocrine regulation and behavior (13 papers) and Stress Responses and Cortisol (11 papers). Mohamed Bennis collaborates with scholars based in Morocco, France and Canada. Mohamed Bennis's co-authors include Sâadia Ba-M’hamed, Yassine Ait-Bali, Otmane Bouchatta, J Repérant, Ahmed Nafis, Loubna Khalki, Richard H. Glazier, Geert A. Martens, Marcelo L. Urquía and Alain Gagnon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Mohamed Bennis

75 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Bennis 329 292 267 228 172 80 1.4k
Diana Cardona 183 0.6× 406 1.4× 314 1.2× 86 0.4× 79 0.5× 39 1.3k
Mandy M Cousins 293 0.9× 421 1.4× 473 1.8× 86 0.4× 75 0.4× 21 1.3k
Francesca Capone 183 0.6× 185 0.6× 138 0.5× 88 0.4× 86 0.5× 38 1.4k
Yoram Finkelstein 205 0.6× 202 0.7× 166 0.6× 69 0.3× 125 0.7× 45 1.3k
Rachel Grashow 204 0.6× 178 0.6× 67 0.3× 62 0.3× 177 1.0× 48 1.6k
Ettie Grauer 335 1.0× 282 1.0× 339 1.3× 37 0.2× 87 0.5× 40 1.2k
Miriam B. Virgolini 161 0.5× 183 0.6× 92 0.3× 92 0.4× 70 0.4× 51 1.5k
Rong Zhou 256 0.8× 631 2.2× 71 0.3× 47 0.2× 78 0.5× 66 1.8k
Cláudio C. Filgueiras 423 1.3× 477 1.6× 88 0.3× 22 0.1× 243 1.4× 70 1.3k
Konstantin A. Demin 251 0.8× 432 1.5× 30 0.1× 61 0.3× 164 1.0× 103 1.8k

Countries citing papers authored by Mohamed Bennis

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Bennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Bennis

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