Arnulf Graf
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 3
- Face Recognition and Perception 2
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- Neuroscience and Neural Engineering 2
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Mehrdad Jazayeri (1 shared paper)J. Anthony Movshon (1 shared paper)Adam Kohn (1 shared paper)Richard A. Andersen (3 shared papers)Bernhard Schölkopf (3 shared papers)Felix A. Wichmann (3 shared papers)HH Bülthoff (2 shared papers)Eero P. Simoncelli (1 shared paper)
- Journals
- Neural Computation (2 papers)Nature Communications (1 paper)Nature Neuroscience (1 paper)SLEEP (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Arnulf Graf
11 papers receiving 286 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 253
- Cellular and Molecular Neuroscience 92
- Developmental Biology 6
- Sensory Systems 8
- Human-Computer Interaction 9
Countries citing papers authored by Arnulf Graf
This map shows the geographic impact of Arnulf Graf'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 Arnulf Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnulf Graf more than expected).
Fields of papers citing papers by Arnulf Graf
This network shows the impact of papers produced by Arnulf Graf. 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 Arnulf Graf. The network helps show where Arnulf Graf may publish in the future.
Co-authors
The 14 scholars most cited alongside Arnulf Graf, 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 | 2011 | 184 | |
| 2 | 2005 | 26 | |
| 3 | 2014 | 23 | |
| 4 | Machine Learning Applied to Perception: Decision Images for Gender Classification | 2004 | 15 |
| 5 | 2014 | 14 | |
| 6 | 2008 | 13 | |
| 7 | 2015 | 7 | |
| 8 | 2016 | 7 | |
| 9 | Insights from Machine Learning Applied to Human Visual Classification | 2003 | 3 |
| 10 | 2014 | 2 | |
| 11 | 2022 | 1 |
About Arnulf Graf
Arnulf Graf is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology, having authored 11 papers that have together received 295 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Face and Expression Recognition (4 papers), Visual perception and processing mechanisms (3 papers), Neuroscience and Neural Engineering (2 papers), Face Recognition and Perception (2 papers), Neurobiology and Insect Physiology Research (2 papers), Face recognition and analysis (2 papers) and Color perception and design (1 paper). The work is most often cited by research in Cognitive Neuroscience (253 citations), Cellular and Molecular Neuroscience (92 citations), Developmental Biology (6 citations), Sensory Systems (8 citations) and Human-Computer Interaction (9 citations). Arnulf Graf has collaborated with scholars based in United States and Germany. Frequent co-authors include Mehrdad Jazayeri, J. Anthony Movshon, Adam Kohn, Richard A. Andersen, Bernhard Schölkopf, Felix A. Wichmann, HH Bülthoff, Eero P. Simoncelli, Olivier Bousquet and Gunnar Rätsch. Their work appears in journals such as Neural Computation, Nature Communications, Nature Neuroscience, SLEEP and Proceedings of the National Academy of Sciences.
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.