Olivier Renaud
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- Mental Health Research Topics 3
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies 7
- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 4
- Applied Psychology top 5%
- Behavioral Health and Interventions 3
- General Decision Sciences top 10%
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- Image and Signal Denoising Methods 5
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- Advanced Statistical Methods and Models 5
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- Statistical and numerical algorithms 3
- Co-authors
- Jean‐Luc StarckMartial Van der LindenArnaud D’ArgembeauJaromil FrossardFionn MurtaghMarcel ZentnerDidier GrandjeanDelphine S. Courvoisier
- Journals
- Journal of Personality and Social Psychology (1 paper)NeuroImage (1 paper)Neurology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Olivier Renaud
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 157
- Experimental and Cognitive Psychology 350
- Cognitive Neuroscience 499
- Applied Psychology 95
- Neuropsychology and Physiological Psychology 28
- General Decision Sciences 30
Countries citing papers authored by Olivier Renaud
This map shows the geographic impact of Olivier Renaud'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 Olivier Renaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Renaud more than expected).
Fields of papers citing papers by Olivier Renaud
This network shows the impact of papers produced by Olivier Renaud. 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 Olivier Renaud. The network helps show where Olivier Renaud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olivier Renaud, 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 | 2023 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 100 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 27 | |
| 13 | 2014 | 22 | |
| 14 | 2012 | 66 | |
| 15 | 2011 | 28 | |
| 16 | La satisfaction au travail | 2010 | 2 |
| 17 | 2007 | 89 | |
| 18 | 2005 | 109 | |
| 19 | 2003 | 72 | |
| 20 | Sensitivity and other properties of wavelet regression and density estimators | 2002 | 2 |
About Olivier Renaud
Olivier Renaud is a scholar working on Statistics and Probability, Cognitive Neuroscience and Neuropsychology and Physiological Psychology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (7 papers), Image and Signal Denoising Methods (5 papers), Advanced Statistical Methods and Models (5 papers), Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (4 papers), Statistical and numerical algorithms (3 papers), Behavioral Health and Interventions (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (350 citations), Cognitive Neuroscience (499 citations) and Applied Psychology (95 citations). Olivier Renaud has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Jean‐Luc Starck, Martial Van der Linden, Arnaud D’Argembeau, Jaromil Frossard, Fionn Murtagh, Fionn Murtagh, Marcel Zentner, Didier Grandjean, Delphine S. Courvoisier and Anik De Ribaupierre. Their work appears in journals such as Journal of Personality and Social Psychology, NeuroImage and Neurology.
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.