G. Bonnerot

524 citations
9 papers · 370 indexed · h-index 5

Impact in

Papers in

Co-authors
M. Bellanger
Journals
Proceedings of the IEEE (1 paper)IEEE Transactions on Circuits and Systems (1 paper)International Conference on Communications (1 paper)IEEE Transactions on Acoustics Speech and Signal Processing (2 papers)IRE Transactions on Communications Systems (2 papers)
Partner nations
France

In The Last Decade

G. Bonnerot

8 papers receiving 324 citations

Peers

G. Bonnerot
Comparison fields: 5 of 34
  • Signal Processing 298
  • Computer Vision and Pattern Recognition 169
  • Computational Mechanics 113
  • Applied Mathematics 33
  • Computational Theory and Mathematics 50
Replace Heinz G. Göckler with:
Heinz G. Göckler Germany
H.C. Reddy United States
Vlastimir D. Pavlović Serbia
N.J. Fliege Germany
Member Eurasip Switzerland
K. Nayebi United States
S.S. Lawson United Kingdom
J. Vesma Finland
E. Hermanowicz Poland
D. Esteban United States
G. Bonnerot relative to Heinz G. Göckler Germany Heinz G. Göckler's profile →
Citations per field
00.5×1.5×2.3×
Heinz G. Göckler · 1×
Citations per year

Countries citing papers authored by G. Bonnerot

Since Specialization
Citations

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

Fields of papers citing papers by G. Bonnerot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside G. Bonnerot, 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 G. Bonnerot Line = papers co-authored together G. Bonnerot links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20052
2 19841
3 198221
4 197846
5 19784
6 19785
7 197631
8 1976260
9
Applications of digital filtering to telecommunications
19750

About G. Bonnerot

G. Bonnerot is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 9 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (4 papers), Digital Filter Design and Implementation (3 papers), Advanced Data Compression Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Wireless Communication Networks Research (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Power Line Communications and Noise (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Signal Processing (298 citations), Computer Vision and Pattern Recognition (169 citations), Computational Mechanics (113 citations), Applied Mathematics (33 citations) and Computational Theory and Mathematics (50 citations). G. Bonnerot has collaborated with scholars based in France. Frequent co-authors include M. Bellanger. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems, International Conference on Communications, IEEE Transactions on Acoustics Speech and Signal Processing and IRE Transactions on Communications Systems.

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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