Pierre Lavenus

51 total papers · 1.1k total citations
27 papers, 879 citations indexed

About

Pierre Lavenus is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Pierre Lavenus has authored 27 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 18 papers in Electrical and Electronic Engineering and 12 papers in Condensed Matter Physics. Recurrent topics in Pierre Lavenus's work include GaN-based semiconductor devices and materials (12 papers), Advanced MEMS and NEMS Technologies (11 papers) and Acoustic Wave Resonator Technologies (11 papers). Pierre Lavenus is often cited by papers focused on GaN-based semiconductor devices and materials (12 papers), Advanced MEMS and NEMS Technologies (11 papers) and Acoustic Wave Resonator Technologies (11 papers). Pierre Lavenus collaborates with scholars based in France, Russia and Switzerland. Pierre Lavenus's co-authors include F. H. Julien, Maria Tchernycheva, Gwénolé Jacopin, A. V. Babichev, H. Zhang, Lorenzo Rigutti, A. Yu. Egorov, Andrés de Luna Bugallo, Yuan-Ting Lin and Li-Wei Tu and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Pierre Lavenus

24 papers receiving 858 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 Lavenus 478 468 413 393 357 27 879
Seong‐Ju Park 351 0.7× 269 0.6× 377 0.9× 265 0.7× 291 0.8× 17 708
C. H. Wang 686 1.4× 321 0.7× 187 0.5× 327 0.8× 607 1.7× 36 1.0k
Carsten Pfüller 561 1.2× 598 1.3× 539 1.3× 333 0.8× 380 1.1× 30 1.1k
Ashwin K. Rishinaramangalam 388 0.8× 675 1.4× 262 0.6× 403 1.0× 341 1.0× 31 917
Emanuele Francesco Pecora 363 0.8× 169 0.4× 462 1.1× 393 1.0× 268 0.8× 34 812
Tong-Ho Kim 444 0.9× 247 0.5× 483 1.2× 317 0.8× 545 1.5× 40 958
Omkar Jani 334 0.7× 593 1.3× 332 0.8× 346 0.9× 224 0.6× 37 883
Ïbrahim Kimukin 258 0.5× 373 0.8× 335 0.8× 438 1.1× 364 1.0× 34 870
Hwa-Mok Kim 536 1.1× 573 1.2× 268 0.6× 205 0.5× 360 1.0× 16 779
S.J. Chang 341 0.7× 612 1.3× 180 0.4× 411 1.0× 298 0.8× 48 808

Countries citing papers authored by Pierre Lavenus

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Lavenus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Lavenus

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