S. Lavallée

57 total papers · 1.7k total citations
37 papers, 803 citations indexed

About

S. Lavallée is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Lavallée has authored 37 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 16 papers in Surgery and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Lavallée's work include Total Knee Arthroplasty Outcomes (8 papers), Anatomy and Medical Technology (8 papers) and Soft Robotics and Applications (7 papers). S. Lavallée is often cited by papers focused on Total Knee Arthroplasty Outcomes (8 papers), Anatomy and Medical Technology (8 papers) and Soft Robotics and Applications (7 papers). S. Lavallée collaborates with scholars based in France, United States and Germany. S. Lavallée's co-authors include Richard Szeliski, Philippe Cinquin, Jocelyne Troccaz, Philippe Merloz, D. Hoffmann, Alim Louis Benabid, Christopher Plaskos, Antony J. Hodgson, Philippe Cinquin and Guillaume Champleboux and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Biological Macromolecules and Journal of Orthopaedic Research®.

In The Last Decade

S. Lavallée

36 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
S. Lavallée 331 330 234 103 87 37 803
William A. Hanson 399 1.2× 406 1.2× 218 0.9× 67 0.7× 87 1.0× 30 937
Longfei Ma 539 1.6× 463 1.4× 281 1.2× 68 0.7× 27 0.3× 65 1.0k
Zhongliang Jiang 443 1.3× 203 0.6× 137 0.6× 33 0.3× 83 1.0× 42 797
Bernhard Fuerst 472 1.4× 354 1.1× 304 1.3× 77 0.7× 59 0.7× 33 811
Stamatia Giannarou 376 1.1× 343 1.0× 377 1.6× 149 1.4× 45 0.5× 55 914
Long Qian 287 0.9× 371 1.1× 419 1.8× 69 0.7× 103 1.2× 41 874
Deukhee Lee 313 0.9× 163 0.5× 111 0.5× 30 0.3× 20 0.2× 74 715
Da Liu 303 0.9× 423 1.3× 64 0.3× 51 0.5× 38 0.4× 69 838
Minho Hwang 379 1.1× 297 0.9× 140 0.6× 47 0.5× 281 3.2× 56 1.0k
Farshid Alambeigi 677 2.0× 204 0.6× 139 0.6× 50 0.5× 336 3.9× 74 1.0k

Countries citing papers authored by S. Lavallée

Since Specialization
Citations

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

Fields of papers citing papers by S. Lavallée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lavallée

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