Jean-Loup Florens
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Mechanical Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Annie LucianiClaude CadozSylvie GibetStephen D. LaycockR. J. LapeerRoy DaviesCharlotte MagnussonCharles Lenay
- Topics
- Music Technology and Sound Studies (6 papers)Tactile and Sensory Interactions (5 papers)Motor Control and Adaptation (2 papers)
- Journals
- The Journal of the Acoustical Society of AmericaInteracting with ComputersComputer Music Journal
- Partner nations
- FranceAlgeriaUnited Kingdom
In The Last Decade
Jean-Loup Florens
13 papers receiving 189 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 173
- Cognitive Neuroscience 128
- Signal Processing 79
- Mechanical Engineering 54
- Human-Computer Interaction 47
Countries citing papers authored by Jean-Loup Florens
This map shows the geographic impact of Jean-Loup Florens'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 Jean-Loup Florens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Loup Florens more than expected).
Fields of papers citing papers by Jean-Loup Florens
This network shows the impact of papers produced by Jean-Loup Florens. 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 Jean-Loup Florens. The network helps show where Jean-Loup Florens may publish in the future.
Co-authorship network of co-authors of Jean-Loup Florens
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Loup Florens. A scholar is included among the top collaborators of Jean-Loup Florens 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 Jean-Loup Florens. Jean-Loup Florens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | Preliminary test in a complex virtual dynamic haptic audio environment | 3 |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | Musical Sounds, Animated Images with CORDIS-ANIMA and its Multimodal Interfaces | 2 |
| 10 | 79 | |
| 11 | 43 | |
| 12 | Instrumental Gesture Modeling by Identification with Time-varying Mechanical Models. | 8 |
| 13 | Responsive Input Devices and Sound Synthesis by Simulation of Instrumental Mechanisms: The Cordis System | 44 |
| 14 | 1 |
About Jean-Loup Florens
Jean-Loup Florens is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 14 papers that have together received 232 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (6 papers), Tactile and Sensory Interactions (5 papers) and Motor Control and Adaptation (2 papers). The work is most often cited by research in Human-Computer Interaction (47 citations), Computer Vision and Pattern Recognition (173 citations) and Signal Processing (79 citations). Jean-Loup Florens has collaborated with scholars based in France, Algeria and United Kingdom. Frequent co-authors include Annie Luciani, Claude Cadoz, Claude Cadoz, Sylvie Gibet, Stephen D. Laycock, R. J. Lapeer, Roy Davies, Charlotte Magnusson, Charles Lenay and Antoine Niguès. Their work appears in journals such as The Journal of the Acoustical Society of America, Interacting with Computers and Computer Music Journal.
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.