Nicolas Normand

857 citations
53 papers · 303 · h-index 10

Impact in

Papers in

Nicolas Normand

50 papers receiving 290 citations

Peers

Nicolas Normand
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 164
  • Health Informatics 9
  • Radiology, Nuclear Medicine and Imaging 96
  • Computer Graphics and Computer-Aided Design 13
  • Gastroenterology 12
Replace S.L. Lou with:
S.L. Lou United States
Yinghao Zhang China
Yung-Nien Sun Taiwan
Vajira Thambawita Norway
Xian Wu China
Zhuotun Zhu United States
Yeqi Bai Singapore
Farhad Ghazvinian Zanjani Netherlands
Michel Bister Belgium
Huafeng Wang China
Nicolas Normand relative to S.L. Lou United States S.L. Lou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Normand

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Normand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201032
2 202222
3 202118
4 202118
5 202217
6 200214
7 200810
8 200510
9 20059
10 20029
11 20019
12 19969
13 20149
14 20028
15 20167
16 20077
17 20167
18 20027
19 19986
20 20086

About Nicolas Normand

Nicolas Normand is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Media Technology and Biophysics, having authored 53 papers that have together received 303 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (19 papers), Medical Image Segmentation Techniques (18 papers), Medical Imaging Techniques and Applications (16 papers), Image Retrieval and Classification Techniques (8 papers), Advanced X-ray and CT Imaging (6 papers), Advanced Data Compression Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Computer Graphics and Computer-Aided Design (13 citations) and Gastroenterology (12 citations). Nicolas Normand has collaborated with scholars based in France, Sweden and Australia. Frequent co-authors include Jeanpierre Guédon, Olivier Déforges, Marie Babel, Myriam Servières, Harold Mouchère, Benoît Parrein, Dominique Barba, Y. Bizais, Imants Svalbe and Robin Strand. Their work appears in journals such as Journal of Mathematical Imaging and Vision, IEEE Signal Processing Letters, Journal of Vision, Data in Brief and International Orthopaedics.

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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