Luc Florack

4.0k citations
101 papers · 1.8k · h-index 19

Impact in

Papers in

Luc Florack

92 papers receiving 1.7k citations

Peers

Luc Florack
Comparison fields: 5 of 117
  • Computational Mathematics 55
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Graphics and Computer-Aided Design 108
  • Biophysics 149
  • Media Technology 212
Replace Xavier Bresson with:
Xavier Bresson Switzerland
Nir Sochen Israel
Joachim Weickert Germany
Mikaël Rousson United States
R. Malladi United States
Jan Modersitzki Germany
Kristian Bredies Austria
V. Caselles Spain
Jayant Shah United States
Rick Chartrand United States
Luc Florack relative to Xavier Bresson Switzerland Xavier Bresson's profile →
Citations per field
00.5×1.5×1.8×
Xavier Bresson · 1×
Citations per year

Countries citing papers authored by Luc Florack

Since Specialization
Citations

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

Fields of papers citing papers by Luc Florack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992251
2 1997167
3 1997109
4 201192
5 199489
6 199482
7 199780
8 199675
9 200466
10 199759
11 200058
12 199358
13 199447
14 199831
15
Regularization and Scale Space
199421
16 200320
17 199718
18 199918
19 200518
20 201217

About Luc Florack

Luc Florack is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Media Technology and Biophysics, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (34 papers), Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (21 papers), Image Retrieval and Classification Techniques (21 papers), Image and Signal Denoising Methods (14 papers), Advanced Vision and Imaging (12 papers), Functional Brain Connectivity Studies (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computational Mathematics (55 citations), Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (108 citations), Biophysics (149 citations) and Media Technology (212 citations). Luc Florack has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include Bart M. ter Haar Romeny, Max A. Viergever, Jan J. Koenderink, Arjan Kuijper, Mads Nielsen, Hans C. van Assen, Remco Duits, Peter Johansen, Jon Sporring and Rachid Deriche. Their work appears in journals such as Journal of Mathematical Imaging and Vision, International Journal of Computer Vision, Image and Vision Computing, Pattern Recognition and Brain 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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