Marc C. Robini

610 citations
38 papers · 383 · h-index 12

Impact in

Papers in

Marc C. Robini

34 papers receiving 367 citations

Peers

Marc C. Robini
Comparison fields: 5 of 73
  • Computational Mathematics 9
  • Radiology, Nuclear Medicine and Imaging 203
  • Computer Vision and Pattern Recognition 92
  • Mechanics of Materials 77
  • Biomedical Engineering 125
Replace G.E. Mailloux with:
G.E. Mailloux Canada
B. Banerjee India
Ramsin Khoshabeh United States
Micha Feigin United States
Pedro Serranho Portugal
M. S. El‐Azab Egypt
Ibrahim Elshafiey Saudi Arabia
Raquel C. Conceição Portugal
Pedram Mojabi Canada
Marc C. Robini relative to G.E. Mailloux Canada G.E. Mailloux's profile →
Citations per field
00.5×10×14×
G.E. Mailloux · 1×
Citations per year

Countries citing papers authored by Marc C. Robini

Since Specialization
Citations

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

Fields of papers citing papers by Marc C. Robini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201636
3 200124
4 200923
5 200723
6 199923
7 201222
8 199521
9 199715
10 201014
11 201014
12 201912
13 201311
14 200311
15 20178
16 20178
17 20158
18 20117
19 20137
20 20064

About Marc C. Robini

Marc C. Robini is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Mechanics of Materials, having authored 38 papers that have together received 383 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Ultrasonics and Acoustic Wave Propagation (8 papers), Ultrasound Imaging and Elastography (7 papers), Advanced MRI Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computational Mathematics (9 citations), Radiology, Nuclear Medicine and Imaging (203 citations), Computer Vision and Pattern Recognition (92 citations), Mechanics of Materials (77 citations) and Biomedical Engineering (125 citations). Marc C. Robini has collaborated with scholars based in France, Italy and China. Frequent co-authors include Isabelle E. Magnin, Yuemin Zhu, Piero Tortoli, Hervé Liebgott, Emmanuel Roux, Alessandro Ramalli, Christian Cachard, Carole Frindel, Pierre Croisille and Aimé Lachal. Their work appears in journals such as SIAM Journal on Imaging Sciences, IEEE Transactions on Image Processing, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Journal of Global Optimization and Medical Image Analysis.

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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