M. Bellanger

4.0k citations
86 papers · 2.3k · h-index 20

Impact in

Papers in

M. Bellanger

78 papers receiving 2.2k citations

Peers

M. Bellanger
Comparison fields: 5 of 155
  • Signal Processing 779
  • Health, Toxicology and Mutagenesis 451
  • Computer Vision and Pattern Recognition 420
  • Computational Mechanics 356
  • Pollution 115
Replace Kezhi Li with:
Kezhi Li United Kingdom
Jeng‐Min Chiou Taiwan
Si Si China
Yasutaka Ogawa Japan
P. V. Rao India
Lin - Taiwan
Truyen Tran Australia
Yunquan Zhang China
Vinay Kumar Srivastava India
Weiping Shi United States
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Citations per field
00.5×7.9×
Kezhi Li · 1×
Citations per year

Countries citing papers authored by M. Bellanger

Since Specialization
Citations

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

Fields of papers citing papers by M. Bellanger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Bellanger, 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 M. Bellanger Line = papers co-authored together M. Bellanger 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 1976259
2 2015255
3 1984233
4 1974205
5 2015131
6 2016113
7 201888
8 197486
9 201779
10 198074
11 202073
12 198855
13 201154
14 197846
15 201443
16 200635
17 197631
18 200824
19 201723
20 198220

About M. Bellanger

M. Bellanger is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, General Health Professions and Electrical and Electronic Engineering, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (19 papers), Digital Filter Design and Implementation (12 papers), Speech and Audio Processing (12 papers), Blind Source Separation Techniques (11 papers), Image and Signal Denoising Methods (10 papers), Healthcare Systems and Practices (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Wireless Communication Networks Research (5 papers). The work is most often cited by research in Signal Processing (779 citations), Health, Toxicology and Mutagenesis (451 citations), Computer Vision and Pattern Recognition (420 citations), Computational Mechanics (356 citations) and Pollution (115 citations). M. Bellanger has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include G. Bonnerot, Philippe Grandjean, Leonardo Trasande, R. Thomas Zoeller, Andreas Kortenkamp, Niels E. Skakkebæk, Jerrold J. Heindel, Juliette Legler, Russ Hauser and John Peterson Myers. Their work appears in journals such as Environmental Health, Cancers, Frontiers in Oncology, Health Policy and PLoS ONE.

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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