Francis Devos

687 citations
69 papers · 519 · h-index 11

Impact in

Papers in

Francis Devos

60 papers receiving 456 citations

Peers

Francis Devos
Comparison fields: 5 of 57
  • Media Technology 94
  • Atomic and Molecular Physics, and Optics 175
  • Electrical and Electronic Engineering 318
  • Computer Vision and Pattern Recognition 79
  • Acoustics and Ultrasonics 3
Replace Richard I. Hornsey with:
Richard I. Hornsey Canada
M. Schwarz Germany
Nathan Schemm United States
Antoine Dupret France
John D. Downie United States
Alan Pugh United Kingdom
Neale A. W. Dutton United Kingdom
Frederick Emmons Terman United States
Eung Gi Paek United States
Francis Devos relative to Richard I. Hornsey Canada Richard I. Hornsey's profile →
Citations per field
00.5×2×2.6×
Richard I. Hornsey · 1×
Citations per year

Countries citing papers authored by Francis Devos

Since Specialization
Citations

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

Fields of papers citing papers by Francis Devos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199384
2 197960
3 198829
4 197628
5 197727
6 199724
7 197720
8 198618
9 197516
10 198914
11 200112
12 198510
13 19809
14 19909
15 19939
16 19879
17 19768
18 19998
19 20028
20 20018

About Francis Devos

Francis Devos is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology, having authored 69 papers that have together received 519 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (28 papers), Advanced Memory and Neural Computing (11 papers), Cellular Automata and Applications (10 papers), Image Processing Techniques and Applications (7 papers), Neural Networks and Applications (7 papers), Neuroscience and Neural Engineering (6 papers), Neural Networks and Reservoir Computing (6 papers) and Analog and Mixed-Signal Circuit Design (6 papers). The work is most often cited by research in Media Technology (94 citations), Atomic and Molecular Physics, and Optics (175 citations), Electrical and Electronic Engineering (318 citations), Computer Vision and Pattern Recognition (79 citations) and Acoustics and Ultrasonics (3 citations). Francis Devos has collaborated with scholars based in France, Canada and United States. Frequent co-authors include J. F. Delpech, Bertrand Zavidovique, Jacques Boulmer, Thierry M. Bernard, J. C. Gauthier, Patrick F. Garda, Pierre H. Chavel, Jean Taboury, J. Stevefelt and Yang Ni. Their work appears in journals such as Physical Review A, Electronics Letters, Machine Vision and Applications, IEEE Journal of Solid-State Circuits and Optics Letters.

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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