Didier Mutter

20 papers receiving 462 citations

Peers

Didier Mutter
Comparison fields: 5 of 78
  • Health Informatics 13
  • Surgery 305
  • Hepatology 52
  • Computer Vision and Pattern Recognition 120
  • Oncology 112
Replace Alfonso Lapergola with:
Alfonso Lapergola France
Christophe Koehl France
V. Tassetti France
Matthias Peterhans Switzerland
Ahmed El‐Gendi Egypt
Francesco Volonté Switzerland
Egidijus Pelanis Norway
Derek W. Cool Canada
Matthew H. Lee United States
Bennet Hensen Germany
Didier Mutter relative to Alfonso Lapergola France Alfonso Lapergola's profile →
Citations per field
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Alfonso Lapergola · 1×
Citations per year

Countries citing papers authored by Didier Mutter

Since Specialization
Citations

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

Fields of papers citing papers by Didier Mutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Didier Mutter, 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 Didier Mutter Line = papers co-authored together Didier Mutter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014126
2 201871
3 201365
4 201454
5 200031
6 202023
7 201823
8 199320
9 201513
10 201212
11 20187
12
[A new concept in digestive surgery: the computer assisted surgical procedure, from virtual reality to telemanipulation].
19975
13 20234
14 19984
15
[A benign retroperitoneal schwannoma with vertebral lysis. A case report].
19993
16 20243
17 20013
18 20022
19
[A promising alternative for the treatment of type I diabetes. The implantable insulin pump].
19951
20 20011

About Didier Mutter

Didier Mutter is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Oncology, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Colorectal Cancer Surgical Treatments (3 papers), Gastric Cancer Management and Outcomes (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Anatomy and Medical Technology (2 papers), Bariatric Surgery and Outcomes (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Health Informatics (13 citations), Surgery (305 citations), Hepatology (52 citations), Computer Vision and Pattern Recognition (120 citations) and Oncology (112 citations). Didier Mutter has collaborated with scholars based in France, Italy and South Korea. Frequent co-authors include Jacques Marescaux, Michèle Diana, Patrick Pessaux, Luc Soler, Tullio Piardi, Giuseppe Quero, Alfonso Lapergola, Ettore Marzano, Toby Collins and Alexandre Hostettler. Their work appears in journals such as Surgical Endoscopy, Surgical Innovation, Endoscopy, American Journal of Roentgenology and Journal of Gastrointestinal Surgery.

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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