Jérôme Schmid

672 citations
40 papers · 534 · h-index 13

Impact in

Papers in

    • Orthopaedic implants and arthroplasty 7
    • Hip disorders and treatments 5
    • Surgical Simulation and Training 3
    • Scoliosis diagnosis and treatment 3
    • Medical Image Segmentation Techniques 6

Jérôme Schmid

37 papers receiving 523 citations

Peers

Jérôme Schmid
Comparison fields: 5 of 77
  • Health Informatics 16
  • Computer Vision and Pattern Recognition 128
  • Surgery 216
  • Biomedical Engineering 173
  • Radiology, Nuclear Medicine and Imaging 71
Replace Yuta Hiasa with:
Yuta Hiasa Japan
Nóra Baka Netherlands
André Mastmeyer Germany
Raphael Schwarz Germany
Gengyan Zhao United States
Toshihiko Sasama Japan
Justus Schock Germany
Seth Billings United States
Javad Fotouhi United States
Doug L. Hill Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jérôme Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jérôme Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jérôme Schmid Line = papers co-authored together Jérôme Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201078
2 200876
3 200757
4 200533
5 202333
6 201931
7 201430
8 201520
9 200919
10 200818
11 201514
12 201013
13 201913
14 20068
15 20077
16 20257
17 20106
18 20096
19 20096
20 20206

About Jérôme Schmid

Jérôme Schmid is a scholar working on Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 40 papers that have together received 534 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (7 papers), Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (6 papers), Hip disorders and treatments (5 papers), Surgical Simulation and Training (3 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Scoliosis diagnosis and treatment (3 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Vision and Pattern Recognition (128 citations), Surgery (216 citations), Biomedical Engineering (173 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Jérôme Schmid has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Nadia Magnenat‐Thalmann, Jinman Kim, Caecilia Charbonnier, Chung‐Kwong Yeung, Yannick Bailly, Karen Kinkel, Panayiotis Christofilopoulos, Christian Lovis, Sylvain Chagué and Stéphane Nicolau. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, The Visual Computer, Computers in Biology and Medicine, European Journal of Radiology and European Radiology Experimental.

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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