Michel Schmitt

1.9k citations
52 papers · 1.1k indexed · h-index 16

Michel Schmitt

47 papers receiving 1.1k citations

Peers

Michel Schmitt
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 438
  • Biophysics 71
  • Media Technology 84
  • Computer Graphics and Computer-Aided Design 27
  • Cognitive Neuroscience 144
Replace Hideaki Hayashi with:
Hideaki Hayashi Japan
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Donglai Wei United States
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Michel Schmitt relative to Hideaki Hayashi Japan Hideaki Hayashi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michel Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Michel Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201220
2
Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology (Lecture Notes in Statistics)
200711
3 20063
4 20057
5 200226
6 20023
7 200214
8 200211
9 200117
10 200112
11 200066
12 199935
13 1999119
14 19989
15
Digitization and connectivity
19985
16 1996310
17
Leçons de littérature : l'enseignement littéraire au lycée
19941
18
Propagation function: towards constant time algorithms
19941
19 19931
20 19911

About Michel Schmitt

Michel Schmitt is a scholar working on Computer Vision and Pattern Recognition, Orthodontics and Organic Chemistry, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Digital Image Processing Techniques (5 papers), Image and Object Detection Techniques (3 papers), Visual perception and processing mechanisms (3 papers), Neural and Behavioral Psychology Studies (3 papers), Historical and Literary Analyses (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Biophysics (71 citations) and Media Technology (84 citations). Michel Schmitt has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Laurent Najman, J. Jossinet, Albert Postma, Edward H.F. de Haan, Anne-Marie Bonnel, Camille‐Aimé Possamaï, Arlette Solladié‐Cavallo, Filipe Aires, N. A. Scott and A. Chédin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biomaterials and Chemical Communications.

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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