Marc Donias

513 total citations
28 papers, 263 citations indexed

About

Marc Donias is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Computational Mechanics. According to data from OpenAlex, Marc Donias has authored 28 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Geophysics and 6 papers in Computational Mechanics. Recurrent topics in Marc Donias's work include Medical Image Segmentation Techniques (8 papers), Seismic Imaging and Inversion Techniques (7 papers) and Image and Object Detection Techniques (4 papers). Marc Donias is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Seismic Imaging and Inversion Techniques (7 papers) and Image and Object Detection Techniques (4 papers). Marc Donias collaborates with scholars based in France, Lebanon and Switzerland. Marc Donias's co-authors include Christian Germain, Jean‐Pierre da Costa, Sébastien Guillon, Olivier Lavialle, Yannick Berthoumieu, Charles Yaacoub, Gérard L. Vignoles, I. Pop, Barna Keresztes and Lionel Bombrun and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Geophysics.

In The Last Decade

Marc Donias

26 papers receiving 253 citations

Peers

Marc Donias
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 106
  • Geophysics 78
  • Ocean Engineering 56
  • Computational Mechanics 34
  • Mechanics of Materials 33
Jingjing Pan China
Seongryong Kim South Korea
Xintao Chai China
Liang Guo China
Haishan Li China
Are Charles Jensen Norway
Levent Seyfi Türkiye
Ziyu Zhao China
Jingjing Pan China View profile →
Citations per field, relative to Marc Donias
Marc Donias · 1×
Citations per year, relative to Marc Donias
Marc Donias · 1×

Countries citing papers authored by Marc Donias

Since Specialization
Citations

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

Fields of papers citing papers by Marc Donias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Donias

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Donias. A scholar is included among the top collaborators of Marc Donias 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 Marc Donias. Marc Donias 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 0
2 7
3 1
4 18
5 1
6 0
7 5
8 3
9 25
10 1
11 10
12 19
13 3
14 29
15 2
16 9
17 7
18 21
19 9
20 6

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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