Laboratoire Images, signaux et systèmes intelligents
Impact in
-
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Context-Aware Activity Recognition Systems
-
- Stroke Rehabilitation and Recovery
Papers in
-
- Medical Image Segmentation Techniques 25
- Context-Aware Activity Recognition Systems 15
- Top scholars
- Patrick SiarrySamer MohammedYacine AmiratAbdelhamid MelloukMoussa DiafKamal HammoucheWeiguang HuoJohann Dréo
- Journals
- Engineering Applications of Artificial Intelligence (5 papers)Neurocomputing (4 papers)Computerized Medical Imaging and Graphics (4 papers)The Journal of the Acoustical Society of America (4 papers)Pattern Recognition Letters (3 papers)
- Partner nations
- FranceAlgeriaUnited States
In The Last Decade
Laboratoire Images, signaux et systèmes intelligents
257 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 1.4k
- Rehabilitation 345
- Signal Processing 406
- Computer Networks and Communications 857
- Artificial Intelligence 1.2k
Countries citing scholars working at Laboratoire Images, signaux et systèmes intelligents
This map shows the geographic impact of research produced by authors working at Laboratoire Images, signaux et systèmes intelligents. 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 Images, signaux et systèmes intelligents with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire Images, signaux et systèmes intelligents more than expected).
Fields of papers published by authors at Laboratoire Images, signaux et systèmes intelligents
This network shows the impact of papers affiliated with Laboratoire Images, signaux et systèmes intelligents 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 Images, signaux et systèmes intelligents at the time of their publication.
About Laboratoire Images, signaux et systèmes intelligents
In recent decades, authors affiliated with Laboratoire Images, signaux et systèmes intelligents have published 297 papers, which have received a total of 5.8k indexed citations . Scholars at this organization have produced 80 papers in Computer Vision and Pattern Recognition, 5 papers in Developmental Biology, 56 papers in Computer Networks and Communications, 24 papers in Signal Processing and 11 papers in Rehabilitation on the topics of Medical Image Segmentation Techniques (25 papers), Software-Defined Networks and 5G (21 papers), Prosthetics and Rehabilitation Robotics (20 papers), Metaheuristic Optimization Algorithms Research (19 papers), Muscle activation and electromyography studies (18 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Context-Aware Activity Recognition Systems (15 papers) and Evolutionary Algorithms and Applications (12 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.4k citations), Rehabilitation (345 citations), Signal Processing (406 citations), Computer Networks and Communications (857 citations) and Artificial Intelligence (1.2k citations). Authors at Laboratoire Images, signaux et systèmes intelligents collaborate with scholars in France, Algeria and United States and have published in prestigious journals including Engineering Applications of Artificial Intelligence, Neurocomputing, Computerized Medical Imaging and Graphics, The Journal of the Acoustical Society of America and Pattern Recognition Letters. Some of Laboratoire Images, signaux et systèmes intelligents's most productive authors include Patrick Siarry, Patrick Siarry, Samer Mohammed, Yacine Amirat, Abdelhamid Mellouk, Moussa Diaf, Kamal Hammouche, Weiguang Huo, Johann Dréo and Éric Deléchelle.
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.