Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

47.6k citations
3.3k papers ·

Impact in

Papers in

Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

3k papers receiving 47.6k citations

Peers

Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis
Comparison fields: 5 of 213
  • Computational Mathematics 2.2k
  • Signal Processing 2.7k
  • Computer Vision and Pattern Recognition 7.1k
  • Computational Theory and Mathematics 4.8k
  • Aerospace Engineering 6.3k
Replace GIPSA-Lab with:
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Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis relative to GIPSA-Lab France GIPSA-Lab's profile →
Citations per field
00.5×1.6×
GIPSA-Lab · 1×
Citations per year

Countries citing scholars working at Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis. 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 papers produced at Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis more than expected).

Fields of papers published by authors at Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis at the time of their publication.

About Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

In recent decades, authors affiliated with Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis have published 3.3k papers, which have received a total of 47.6k indexed citations . Scholars at this organization have produced 128 papers in Computational Mathematics, 530 papers in Computational Theory and Mathematics, 195 papers in Signal Processing, 776 papers in Artificial Intelligence and 93 papers in Software on the topics of Semantic Web and Ontologies (163 papers), Advanced Software Engineering Methodologies (137 papers), Advanced Graph Theory Research (135 papers), Tensor decomposition and applications (128 papers), Formal Methods in Verification (109 papers), Cellular Automata and Applications (106 papers), Complexity and Algorithms in Graphs (90 papers) and ECG Monitoring and Analysis (88 papers). Their work is cited by papers focused on Computational Mathematics (2.2k citations), Signal Processing (2.7k citations), Computer Vision and Pattern Recognition (7.1k citations), Computational Theory and Mathematics (4.8k citations) and Aerospace Engineering (6.3k citations). Authors at Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis collaborate with scholars in France, Italy and Brazil and have published in prestigious journals including Theoretical Computer Science, Lecture notes in computer science, Signal Processing, Discrete Applied Mathematics and IEEE Transactions on Signal Processing. Some of Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis's most productive authors include Tarek Hamel, Pierre Comon, Robert E. Mahony, Michel Barlaud, Luc Pronzato B, Gilles Aubert, Gérard Favier, Laure Blanc‐Féraud, Patrick Solé and Christian Jutten B.

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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