Benoît Van Troeye

38 total papers · 2.5k total citations
15 papers, 271 citations indexed

About

Benoît Van Troeye is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Benoît Van Troeye has authored 15 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Benoît Van Troeye's work include Graphene research and applications (7 papers), 2D Materials and Applications (6 papers) and Semiconductor materials and devices (3 papers). Benoît Van Troeye is often cited by papers focused on Graphene research and applications (7 papers), 2D Materials and Applications (6 papers) and Semiconductor materials and devices (3 papers). Benoît Van Troeye collaborates with scholars based in Belgium, United States and Switzerland. Benoît Van Troeye's co-authors include Xavier Gonze, Marc Torrent, Vincent Meunier, Michael Lamparski, Matthieu J. Verstraete, Nicholas A. Pike, Gian‐Marco Rignanese, Geoffrey Pourtois, Colin Daniels and Guido Petretto and has published in prestigious journals such as ACS Nano, Journal of Applied Physics and Carbon.

In The Last Decade

Benoît Van Troeye

15 papers receiving 267 citations

Author Peers

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

Author Last Decade Papers Cites
Benoît Van Troeye 211 112 57 55 31 15 271
Marcos G. Menezes 258 1.2× 107 1.0× 34 0.6× 79 1.4× 31 1.0× 29 308
Aleksei Kotlov 284 1.3× 108 1.0× 46 0.8× 38 0.7× 31 1.0× 20 321
Ha‐Jun Sung 241 1.1× 118 1.1× 27 0.5× 85 1.5× 29 0.9× 17 285
Nicholas A. Pike 181 0.9× 105 0.9× 24 0.4× 58 1.1× 35 1.1× 17 243
Julian F. R. V. Silveira 289 1.4× 138 1.2× 31 0.5× 27 0.5× 33 1.1× 17 325
Arslan Mazitov 171 0.8× 121 1.1× 68 1.2× 105 1.9× 76 2.5× 20 287
Bhupendra Karki 237 1.1× 153 1.4× 55 1.0× 31 0.6× 17 0.5× 14 314
Can Berk Uzundal 93 0.4× 154 1.4× 44 0.8× 50 0.9× 31 1.0× 19 298
Yen Thi Hai Pham 168 0.8× 88 0.8× 64 1.1× 50 0.9× 27 0.9× 13 245
B. Chettri 284 1.3× 122 1.1× 42 0.7× 20 0.4× 21 0.7× 20 315

Countries citing papers authored by Benoît Van Troeye

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Van Troeye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Van Troeye. 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 Benoît Van Troeye. The network helps show where Benoît Van Troeye may publish in the future.

Co-authorship network of co-authors of Benoît Van Troeye

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Van Troeye. A scholar is included among the top collaborators of Benoît Van Troeye 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 Benoît Van Troeye. Benoît Van Troeye 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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