Nicolas Mollet

560 citations
19 papers · 277 · h-index 9

Impact in

Papers in

Nicolas Mollet

17 papers receiving 265 citations

Peers

Nicolas Mollet
Comparison fields: 5 of 49
  • Human-Computer Interaction 160
  • Cognitive Neuroscience 111
  • Computer Vision and Pattern Recognition 98
  • Computer Graphics and Computer-Aided Design 12
  • Experimental and Cognitive Psychology 39
Replace Fabien Danieau with:
Fabien Danieau France
Theodore T. Blackmon United States
Rongkai Shi China
Jaebong Lee South Korea
Jens Maiero Germany
Jan-Philipp Stauffert Germany
José P. Molina Spain
Tetsuro Ogi Japan
Christina Trepkowski Germany
Matthew Warburton United Kingdom
Nicolas Mollet relative to Fabien Danieau France Fabien Danieau's profile →
Citations per field
00.5×1.5×
Fabien Danieau · 1×
Citations per year

Countries citing papers authored by Nicolas Mollet

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Mollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Nicolas Mollet, 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 Nicolas Mollet Line = papers co-authored together Nicolas Mollet links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201364
2 200838
3 201238
4 201436
5 201318
6 201518
7 201813
8 201711
9 20199
10 20178
11 20087
12 20076
13 20175
14 20142
15
Enhancing audiovisual experience with haptic feedback: a survey on HAV
20131
16 20091
17 20081
18 20091
19 20130

About Nicolas Mollet

Nicolas Mollet is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Mechanical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (12 papers), Tactile and Sensory Interactions (8 papers), Teleoperation and Haptic Systems (7 papers), Human Motion and Animation (5 papers), Interactive and Immersive Displays (3 papers), 3D Shape Modeling and Analysis (2 papers), Multisensory perception and integration (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (160 citations), Cognitive Neuroscience (111 citations), Computer Vision and Pattern Recognition (98 citations), Computer Graphics and Computer-Aided Design (12 citations) and Experimental and Cognitive Psychology (39 citations). Nicolas Mollet has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Fabien Danieau, Julien Fleureau, Philippe Guillotel, Marc Christie, Anatole Lécuyer, Bruno Arnaldi, Franck Ganier, Jacques Tisseau, Ryad Chellali and Xavier P. Burgos-Artizzu. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Multimedia, SHILAP Revista de lepidopterología and HAL (Le Centre pour la Communication Scientifique Directe).

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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