Bernard Chalmond

489 citations
22 papers · 387 · h-index 9

Impact in

Papers in

Bernard Chalmond

20 papers receiving 355 citations

Peers

Bernard Chalmond
Comparison fields: 5 of 82
  • Media Technology 80
  • Computer Vision and Pattern Recognition 191
  • Biophysics 45
  • Statistics and Probability 41
  • Signal Processing 36
Replace Caroline Chaux with:
Caroline Chaux France
Mark R. Luettgen United States
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Citations per year

Countries citing papers authored by Bernard Chalmond

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Chalmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989118
2 198857
3
Modeling and inverse problems in image analysis
200341
4 199131
5 200629
6 200328
7 200719
8 201519
9 201416
10
Eléments de modélisation pour l'analyse d'images
20006
11 20086
12 19984
13
Détection d'une rupture de moyenne en un point inconnu d'un processus ARMA
19813
14
Régression avec résidus spatialement autocorrélés et recherche de la tendance spatiale
19862
15 20082
16 19882
17 20031
18 19961
19 20151
20
Nonlinear Data Representation for Visual Learning
19981

About Bernard Chalmond

Bernard Chalmond is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Statistics and Probability and Biomedical Engineering, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Digital Holography and Microscopy (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Single-cell and spatial transcriptomics (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Media Technology (80 citations), Computer Vision and Pattern Recognition (191 citations), Biophysics (45 citations), Statistics and Probability (41 citations) and Signal Processing (36 citations). Bernard Chalmond has collaborated with scholars based in France. Frequent co-authors include Stéphane Herbin, Yong Yu, Spencer Shorte, Alain Trouvé, José Viña, Brigitte David‐Watine, Olivier Renaud, Jean‐Marc Dinten, Fabrice Navarro and Frédérique Mittler. Their work appears in journals such as Signal Processing, Pattern Recognition Letters, Inverse Problems, Biotechnology Journal and IEEE Transactions on Image Processing.

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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