Laurent Najman

9.1k citations
95 papers · 4.2k · 1 hit paper · h-index 25

Impact in

    • Medical Image Segmentation Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Image Retrieval and Classification Techniques
    • Digital Image Processing Techniques
    • Video Surveillance and Tracking Methods
    • Image Enhancement Techniques
    • Remote-Sensing Image Classification

Papers in

Laurent Najman

88 papers receiving 4.0k citations

Laurent Najman's Hit Papers

Learning Hierarchical Features for Scene Labeling 2012 · 1.8k citations
1.8k0+4+9Years since publication50010001.5k

Peers

Laurent Najman
Comparison fields: 5 of 162
  • Computer Vision and Pattern Recognition 2.8k
  • Media Technology 664
  • Biophysics 193
  • Computer Graphics and Computer-Aided Design 97
  • Artificial Intelligence 693
Replace Václav Hlaváč with:
Václav Hlaváč Czechia
Alexander Wong Canada
Christoph Schnörr Germany
Leo Grady United States
Alessandro Verri Italy
R.M. Haralick United States
Frank Y. Shih United States
Fernand Meyer France
Kim L. Boyer United States
Barbara Zitová Czechia
Laurent Najman relative to Václav Hlaváč Czechia Václav Hlaváč's profile →
Citations per field
00.5×2.8×
Václav Hlaváč · 1×
Citations per year

Countries citing papers authored by Laurent Najman

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Najman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Hierarchical Features for Scene Labeling
Hit paper breakdown →
20121796
2 1996310
3 2010195
4 2007194
5 1994192
6 2009174
7 2010149
8 2006129
9 2009102
10 201060
11 200541
12 201740
13 201339
14 201536
15 201635
16 200533
17 202032
18 201132
19 201232
20 200431

About Laurent Najman

Laurent Najman is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Computational Mechanics and Artificial Intelligence, having authored 95 papers that have together received 4.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (42 papers), Digital Image Processing Techniques (29 papers), Image Retrieval and Classification Techniques (18 papers), Advanced Image and Video Retrieval Techniques (14 papers), Topological and Geometric Data Analysis (9 papers), Advanced Neural Network Applications (7 papers), Cardiac Imaging and Diagnostics (7 papers) and Visual Attention and Saliency Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (664 citations), Biophysics (193 citations), Computer Graphics and Computer-Aided Design (97 citations) and Artificial Intelligence (693 citations). Laurent Najman has collaborated with scholars based in France, Brazil and India. Frequent co-authors include Camille Couprie, Clément Farabet, Yann LeCun, Michel Schmitt, Michel Couprie, Jean Cousty, Gilles Bertrand, Hugues Talbot, Leo Grady and David Menotti. Their work appears in journals such as Journal of Mathematical Imaging and Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, IEEE Transactions on Image Processing and IEEE Access.

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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