Jérôme Schmid

648 citations
30 papers · 419 indexed · h-index 11

Impact in

Papers in

    • Orthopaedic implants and arthroplasty 6
    • Hip disorders and treatments 5
    • Total Knee Arthroplasty Outcomes 3
    • Medical Imaging and Analysis 4
    • Advanced X-ray and CT Imaging 2

Jérôme Schmid

28 papers receiving 410 citations

Peers

Jérôme Schmid
Comparison fields: 5 of 76
  • Health Informatics 14
  • Computer Vision and Pattern Recognition 108
  • Surgery 212
  • Biomedical Engineering 163
  • Orthopedics and Sports Medicine 30
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 200869
3 200754
4 201429
5 201929
6 200525
7 202322
8 200815
9 201514
10 201012
11 201911
12 20067
13 20077
14 20096
15 20255
16 20105
17 20205
18 20234
19 20124
20 20214

About Jérôme Schmid

Jérôme Schmid is a scholar working on Surgery, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 30 papers that have together received 419 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Orthopaedic implants and arthroplasty (6 papers), Hip disorders and treatments (5 papers), Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers), Medical Imaging and Analysis (4 papers), Total Knee Arthroplasty Outcomes (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Vision and Pattern Recognition (108 citations), Surgery (212 citations), Biomedical Engineering (163 citations) and Orthopedics and Sports Medicine (30 citations). Jérôme Schmid has collaborated with scholars based in Switzerland, United States and Singapore. Frequent co-authors include Nadia Magnenat‐Thalmann, Jinman Kim, Caecilia Charbonnier, Chung‐Kwong Yeung, Yannick Bailly, Panayiotis Christofilopoulos, Sylvain Chagué, Frank C. Kolo, Christian Lovis and Karen Kinkel. Their work appears in journals such as The Visual Computer, International Journal of Computer Assisted Radiology and Surgery, Computers in Biology and Medicine, Hip International and Medical Physics.

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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