Pierre-Aurélien Beuriat

91 total papers · 1.2k total citations
58 papers, 771 citations indexed

About

Pierre-Aurélien Beuriat is a scholar working on Surgery, Neurology and Epidemiology. According to data from OpenAlex, Pierre-Aurélien Beuriat has authored 58 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Neurology and 15 papers in Epidemiology. Recurrent topics in Pierre-Aurélien Beuriat's work include Glioma Diagnosis and Treatment (13 papers), Cerebrospinal fluid and hydrocephalus (9 papers) and Craniofacial Disorders and Treatments (8 papers). Pierre-Aurélien Beuriat is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Cerebrospinal fluid and hydrocephalus (9 papers) and Craniofacial Disorders and Treatments (8 papers). Pierre-Aurélien Beuriat collaborates with scholars based in France, United States and Canada. Pierre-Aurélien Beuriat's co-authors include R Dumas, Pierre Gras, C. Mottolèse, Alexandru Szathmári, Patrick Arveux, C Milàn, Federico Di Rocco, M Giroud, Maurice Giroud and L Dusserre and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Neurology.

In The Last Decade

Pierre-Aurélien Beuriat

49 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre-Aurélien Beuriat 283 271 125 118 104 58 771
D Frédy 427 1.5× 185 0.7× 94 0.8× 82 0.7× 183 1.8× 70 870
Joseph Zito 180 0.6× 144 0.5× 142 1.1× 66 0.6× 128 1.2× 35 640
Deanna Sasaki‐Adams 155 0.5× 180 0.7× 231 1.8× 156 1.3× 112 1.1× 48 681
Aslan Güzel 175 0.6× 126 0.5× 290 2.3× 115 1.0× 62 0.6× 77 748
Hiroko Fukasawa 324 1.1× 144 0.5× 105 0.8× 160 1.4× 109 1.0× 44 758
Sangam Kanekar 217 0.8× 87 0.3× 171 1.4× 83 0.7× 75 0.7× 68 747
Chandrasekaran Kaliaperumal 291 1.0× 78 0.3× 219 1.8× 147 1.2× 87 0.8× 101 727
K Twerdy 265 0.9× 134 0.5× 317 2.5× 127 1.1× 39 0.4× 56 729
Tarumi Yamaki 520 1.8× 247 0.9× 82 0.7× 121 1.0× 81 0.8× 43 766
Raphael Weitz 196 0.7× 71 0.3× 87 0.7× 131 1.1× 73 0.7× 56 877

Countries citing papers authored by Pierre-Aurélien Beuriat

Since Specialization
Citations

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

Fields of papers citing papers by Pierre-Aurélien Beuriat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre-Aurélien Beuriat. 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 Pierre-Aurélien Beuriat. The network helps show where Pierre-Aurélien Beuriat may publish in the future.

Co-authorship network of co-authors of Pierre-Aurélien Beuriat

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Aurélien Beuriat. A scholar is included among the top collaborators of Pierre-Aurélien Beuriat 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 Pierre-Aurélien Beuriat. Pierre-Aurélien Beuriat 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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