Cédric Wemmert

1.7k citations
86 papers · 1.3k · h-index 21

Impact in

Papers in

Cédric Wemmert

80 papers receiving 1.2k citations

Peers

Cédric Wemmert
Comparison fields: 5 of 129
  • Media Technology 203
  • Computer Vision and Pattern Recognition 327
  • Artificial Intelligence 515
  • Environmental Engineering 183
  • Health Informatics 18
Replace Pierre Gançarski with:
Pierre Gançarski France
Xue Yang China
Ji Qi China
Michael Kampffmeyer Norway
Grant J. Scott United States
Tong Zhang China
Weihua Hu China
Selim Aksoy Türkiye
Lichuan Gu China
Cédric Wemmert relative to Pierre Gançarski France Pierre Gançarski's profile →
Citations per field
00.5×1.5×
Pierre Gançarski · 1×
Citations per year

Countries citing papers authored by Cédric Wemmert

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Wemmert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021166
2 201780
3 200968
4 201266
5 200758
6 201057
7 201647
8 202242
9 201731
10 201230
11 202030
12 200929
13 200026
14 201826
15 202025
16 200623
17 201923
18 202122
19 202222
20 201221

About Cédric Wemmert

Cédric Wemmert is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Environmental Engineering, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Image Retrieval and Classification Techniques (19 papers), Remote-Sensing Image Classification (17 papers), Cell Image Analysis Techniques (13 papers), Advanced Image and Video Retrieval Techniques (10 papers), Air Quality and Health Impacts (9 papers), Data Management and Algorithms (9 papers) and Advanced Clustering Algorithms Research (9 papers). The work is most often cited by research in Media Technology (203 citations), Computer Vision and Pattern Recognition (327 citations), Artificial Intelligence (515 citations), Environmental Engineering (183 citations) and Health Informatics (18 citations). Cédric Wemmert has collaborated with scholars based in France, Germany and Serbia. Frequent co-authors include Germain Forestier, Pierre Gançarski, Anne Puissant, Friedrich Feuerhake, José Vázquez, Jonathan Weber, François Ghiringhelli, Valentin Dérangère, Caroline Truntzer and Maxime Devanne. Their work appears in journals such as Sustainable Cities and Society, Computers in Biology and Medicine, IEEE Geoscience and Remote Sensing Letters, Artificial Intelligence in Medicine and Journal of Wind Engineering and Industrial Aerodynamics.

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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