Nathalie Henry
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- Data Visualization and Analytics 7
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- Complex Network Analysis Techniques 6
- Human-Computer Interaction top 5%
- Signal Processing top 10%
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- Mental Health Research Topics 3
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- Multimedia Communication and Technology 2
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- Urinary Tract Infections Management 1
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- Photoreceptor and optogenetics research 1
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- Protein Structure and Dynamics 1
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- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- Jean‐Daniel FeketeMichael J. McGuffinNiklas ElmqvistEmmanuel PietrigaTomer MoscovichFanny ChevalierYann RicheAnastasia Bezerianos
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsHuman-Computer Interaction
In The Last Decade
Nathalie Henry
12 papers receiving 713 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 625
- Statistical and Nonlinear Physics 302
- Human-Computer Interaction 73
- Signal Processing 98
- Geography, Planning and Development 34
Countries citing papers authored by Nathalie Henry
This map shows the geographic impact of Nathalie Henry'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 Nathalie Henry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Henry more than expected).
Fields of papers citing papers by Nathalie Henry
This network shows the impact of papers produced by Nathalie Henry. 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 Nathalie Henry. The network helps show where Nathalie Henry may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Nathalie Henry, 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 | 2017 | 3 | |
| 2 | 2010 | 2 | |
| 3 | 2009 | 25 | |
| 4 | 2009 | 83 | |
| 5 | 2008 | 52 | |
| 6 | 2007 | 2 | |
| 7 | 2007 | 64 | |
| 8 | 2007 | 345 | |
| 9 | 2006 | 173 | |
| 10 | 2006 | 2 | |
| 11 | 1999 | 1 | |
| 12 | 1988 | 14 |
About Nathalie Henry
Nathalie Henry is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 12 papers that have together received 766 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Complex Network Analysis Techniques (6 papers), Mental Health Research Topics (3 papers), Multimedia Communication and Technology (2 papers), Urinary Tract Infections Management (1 paper), Photoreceptor and optogenetics research (1 paper), Protein Structure and Dynamics (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (625 citations), Statistical and Nonlinear Physics (302 citations) and Human-Computer Interaction (73 citations). Nathalie Henry has collaborated with scholars based in France, Canada and Australia. Frequent co-authors include Jean‐Daniel Fekete, Michael J. McGuffin, Niklas Elmqvist, Emmanuel Pietriga, Tomer Moscovich, Fanny Chevalier, Yann Riche, Anastasia Bezerianos, Petra Isenberg and Sheelagh Carpendale. Their work appears in journals such as Journal of Chromatography A, Photochemistry and Photobiology and IEEE Transactions on Visualization and Computer Graphics.
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.