Pascal Ravassard
Impact in
- Cognitive Neuroscience top 2%
- Sleep and Wakefulness Research
- Memory and Neural Mechanisms
- Neural dynamics and brain function
-
- Circadian rhythm and melatonin
Papers in
-
- Sleep and Wakefulness Research 9
- Memory and Neural Mechanisms 5
- Neural dynamics and brain function 3
-
- Neuroscience and Neuropharmacology Research 8
- Co-authors
- Mayank Mehta (3 shared papers)Pierre‐Hervé Luppi (5 shared papers)Ashley L. Kees (3 shared papers)Paul Salin (8 shared papers)David Ho (2 shared papers)Daniel Aharoni (2 shared papers)Jesse D. Cushman (2 shared papers)Zahra M. Aghajan (1 shared paper)
- Journals
- Wear (2 papers)Cerebral Cortex (2 papers)Science (2 papers)PLoS ONE (2 papers)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Pascal Ravassard
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 853
- Endocrine and Autonomic Systems 246
- Cellular and Molecular Neuroscience 522
- Sensory Systems 73
- Experimental and Cognitive Psychology 168
Countries citing papers authored by Pascal Ravassard
This map shows the geographic impact of Pascal Ravassard'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 Pascal Ravassard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Ravassard more than expected).
Fields of papers citing papers by Pascal Ravassard
This network shows the impact of papers produced by Pascal Ravassard. 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 Pascal Ravassard. The network helps show where Pascal Ravassard may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Ravassard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 246 | |
| 2 | 2009 | 197 | |
| 3 | 2009 | 146 | |
| 4 | 2015 | 103 | |
| 5 | 2017 | 75 | |
| 6 | 2017 | 75 | |
| 7 | 1997 | 65 | |
| 8 | 2015 | 61 | |
| 9 | 2010 | 38 | |
| 10 | 2013 | 38 | |
| 11 | 1998 | 33 | |
| 12 | 2006 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 1998 | 21 | |
| 15 | 2006 | 5 | |
| 16 | 1999 | 2 | |
| 17 | 2008 | 0 |
About Pascal Ravassard
Pascal Ravassard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Mechanical Engineering, Endocrine and Autonomic Systems and Mechanics of Materials, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers), Neural dynamics and brain function (3 papers), Adhesion, Friction, and Surface Interactions (3 papers), Circadian rhythm and melatonin (2 papers), Olfactory and Sensory Function Studies (2 papers) and Tribology and Lubrication Engineering (2 papers). The work is most often cited by research in Cognitive Neuroscience (853 citations), Endocrine and Autonomic Systems (246 citations), Cellular and Molecular Neuroscience (522 citations), Sensory Systems (73 citations) and Experimental and Cognitive Psychology (168 citations). Pascal Ravassard has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Mayank Mehta, Pierre‐Hervé Luppi, Ashley L. Kees, Paul Salin, David Ho, Daniel Aharoni, Jesse D. Cushman, Zahra M. Aghajan, Olivier Clément and Lucienne Léger. Their work appears in journals such as Wear, Cerebral Cortex, Science, PLoS ONE and Neurobiology of Learning and Memory.
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.