Gilles Sicard

840 total citations
53 papers, 209 citations indexed

About

Gilles Sicard is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gilles Sicard has authored 53 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gilles Sicard's work include CCD and CMOS Imaging Sensors (18 papers), Advanced Memory and Neural Computing (9 papers) and Advanced MEMS and NEMS Technologies (6 papers). Gilles Sicard is often cited by papers focused on CCD and CMOS Imaging Sensors (18 papers), Advanced Memory and Neural Computing (9 papers) and Advanced MEMS and NEMS Technologies (6 papers). Gilles Sicard collaborates with scholars based in France, Belgium and Tunisia. Gilles Sicard's co-authors include Marc Renaudin, Laurent Fesquet, Adel Soudani, E. Allier, Laurent Jacques, R. Gwoziecki, J. Bablet, Jean‐Marie Verilhac, Lucian Barbut and M. Benwadih and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Networks and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Gilles Sicard

44 papers receiving 197 citations

Peers

Gilles Sicard
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 140
  • Biomedical Engineering 64
  • Computer Vision and Pattern Recognition 26
  • Computer Networks and Communications 21
  • Atomic and Molecular Physics, and Optics 18
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Citations per field, relative to Gilles Sicard
Gilles Sicard · 1×
Citations per year, relative to Gilles Sicard
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Countries citing papers authored by Gilles Sicard

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Sicard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Sicard

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Sicard. A scholar is included among the top collaborators of Gilles Sicard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gilles Sicard. Gilles Sicard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
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6 2
7 5
8 1
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10 1
11 1
12 10
13 0
14 4
15 0
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19
Proceedings of the 20th international conference on Integrated circuit and system design: power and timing modeling, optimization and simulation
1
20 3

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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