Michel Salomon

806 total citations
41 papers, 305 citations indexed

About

Michel Salomon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michel Salomon has authored 41 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michel Salomon's work include Cardiac Imaging and Diagnostics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Radiotherapy Techniques (3 papers). Michel Salomon is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Radiotherapy Techniques (3 papers). Michel Salomon collaborates with scholars based in France, Iraq and Germany. Michel Salomon's co-authors include Raphaël Couturier, Ali Kadhum Idrees, Christophe Guyeux, Julien Henriet, Jean-François Couchot, Jacques M. Bahi, Thibaut Pommier, Alain Lalande, Abdul Qayyum and Yves Cottin and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Michel Salomon

35 papers receiving 290 citations

Peers

Michel Salomon
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 76
  • Computer Networks and Communications 62
  • Artificial Intelligence 62
  • Computer Vision and Pattern Recognition 57
  • Biomedical Engineering 45
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Citations per field, relative to Michel Salomon
Michel Salomon · 1×
Citations per year, relative to Michel Salomon
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Countries citing papers authored by Michel Salomon

Since Specialization
Citations

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

Fields of papers citing papers by Michel Salomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Salomon

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Salomon. A scholar is included among the top collaborators of Michel Salomon 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 Michel Salomon. Michel Salomon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 6
4 5
5 1
6 31
7 11
8 23
9 1
10 4
11 1
12
Steganalysis via a Convolutional Neural Network using Large Convolution Filters.
4
13 1
14 2
15
Coverage and Lifetime Optimization in Heterogeneous Energy Wireless Sensor Networks
15
16 9
17 3
18 5
19 5
20
Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images
0

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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