Veit Stuphorn
- Cognitive Neuroscience top 0.5%
- Neural and Behavioral Psychology Studies 28
- Neural dynamics and brain function 22
- Visual perception and processing mechanisms 19
- EEG and Brain-Computer Interfaces 13
- Motor Control and Adaptation 5
- Memory and Neural Mechanisms 5
- Functional Brain Connectivity Studies 4
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics 6
- Neurology top 5%
- Sensory Systems top 5%
- Co-authors
- Jeffrey D. SchallJoshua W. BrownTracy TaylorShigehiko ItoKatherine W. ScangosGordon D. LoganKlaus-Peter HoffmannXiaomo Chen
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Veit Stuphorn
42 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 2.9k
- General Decision Sciences 138
- Neurology 286
- Sensory Systems 138
- Cellular and Molecular Neuroscience 429
Countries citing papers authored by Veit Stuphorn
This map shows the geographic impact of Veit Stuphorn'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 Veit Stuphorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veit Stuphorn more than expected).
Fields of papers citing papers by Veit Stuphorn
This network shows the impact of papers produced by Veit Stuphorn. 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 Veit Stuphorn. The network helps show where Veit Stuphorn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veit Stuphorn, 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 | 2025 | 0 | |
| 2 | 2022 | 19 | |
| 3 | 2019 | 27 | |
| 4 | 内側前頭皮質の不活性化はリスク選好を変化させる【JST・京大機械翻訳】 | 2018 | 7 |
| 5 | 2018 | 20 | |
| 6 | 2018 | 16 | |
| 7 | 2013 | 19 | |
| 8 | 2011 | 37 | |
| 9 | 2010 | 91 | |
| 10 | 2010 | 145 | |
| 11 | 2008 | 62 | |
| 12 | 2007 | 424 | |
| 13 | 2006 | 132 | |
| 14 | 2006 | 180 | |
| 15 | 2006 | 10 | |
| 16 | 2005 | 4 | |
| 17 | 2005 | 69 | |
| 18 | 2002 | 37 | |
| 19 | 2001 | 57 | |
| 20 | 2000 | 319 |
About Veit Stuphorn
Veit Stuphorn is a scholar working on General Decision Sciences, Cognitive Neuroscience and Sensory Systems, having authored 45 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (28 papers), Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (19 papers), EEG and Brain-Computer Interfaces (13 papers), Decision-Making and Behavioral Economics (6 papers), Motor Control and Adaptation (5 papers), Memory and Neural Mechanisms (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), General Decision Sciences (138 citations) and Neurology (286 citations). Veit Stuphorn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey D. Schall, Joshua W. Brown, Tracy Taylor, Shigehiko Ito, Katherine W. Scangos, Gordon D. Logan, Klaus-Peter Hoffmann, Xiaomo Chen, Erik E. Emeric and Dawn M. Eagle. Their work appears in journals such as Nature, Science 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.