Veit Stuphorn

4.4k total citations
45 papers, 3.3k citations indexed

About

Veit Stuphorn is a scholar working on Cognitive Neuroscience, General Decision Sciences and Cellular and Molecular Neuroscience. According to data from OpenAlex, Veit Stuphorn has authored 45 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 6 papers in General Decision Sciences and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Veit Stuphorn's work include Neural and Behavioral Psychology Studies (28 papers), Neural dynamics and brain function (22 papers) and Visual perception and processing mechanisms (19 papers). Veit Stuphorn is often cited by papers focused on Neural and Behavioral Psychology Studies (28 papers), Neural dynamics and brain function (22 papers) and Visual perception and processing mechanisms (19 papers). Veit Stuphorn collaborates with scholars based in United States, Germany and United Kingdom. Veit Stuphorn's 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 and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Veit Stuphorn

42 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Veit Stuphorn United States 27 2.9k 429 286 238 238 45 3.3k
Michael C. Dorris Canada 20 3.3k 1.1× 308 0.7× 386 1.3× 489 2.1× 135 0.6× 31 3.7k
Doug P. Hanes United States 15 3.7k 1.3× 495 1.2× 290 1.0× 319 1.3× 104 0.4× 17 4.0k
Emmanuel Procyk France 27 2.3k 0.8× 398 0.9× 98 0.3× 189 0.8× 133 0.6× 62 2.7k
Nico Bunzeck Germany 31 2.5k 0.9× 762 1.8× 159 0.6× 520 2.2× 361 1.5× 79 3.4k
Lluís Fuentemilla Spain 32 2.3k 0.8× 574 1.3× 127 0.4× 478 2.0× 163 0.7× 73 2.8k
Jan R. Wessel United States 31 2.9k 1.0× 283 0.7× 273 1.0× 496 2.1× 236 1.0× 66 3.4k
Keisetsu Shima Japan 24 2.9k 1.0× 604 1.4× 352 1.2× 203 0.9× 124 0.5× 50 3.6k
Christian Buechel Germany 10 2.9k 1.0× 263 0.6× 268 0.9× 691 2.9× 462 1.9× 16 3.4k
Jens‐Max Hopf Germany 31 3.2k 1.1× 207 0.5× 117 0.4× 521 2.2× 188 0.8× 89 3.8k
Camillo Padoa‐Schioppa United States 26 4.0k 1.4× 705 1.6× 214 0.7× 345 1.4× 119 0.5× 40 4.5k

Countries citing papers authored by Veit Stuphorn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Veit Stuphorn

This figure shows the co-authorship network connecting the top 25 collaborators of Veit Stuphorn. A scholar is included among the top collaborators of Veit Stuphorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Veit Stuphorn. Veit Stuphorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sampson, Aaron L., Erik E. Emeric, Moshe Glickman, et al.. (2025). Overt Visual Attention in the Formation of Preference Between Complex Lottery Options. Computational Brain & Behavior. 8(4). 568–587.
2.
Li, Xinjian, et al.. (2022). Primate anterior insular cortex represents economic decision variables proposed by prospect theory. Nature Communications. 13(1). 717–717. 19 indexed citations
3.
Glickman, Moshe, et al.. (2019). The formation of preference in risky choice. PLoS Computational Biology. 15(8). e1007201–e1007201. 27 indexed citations
4.
Stuphorn, Veit, et al.. (2018). 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】. Current Biology. 28(19). 3114–3122. 7 indexed citations
5.
Chen, Xiaomo & Veit Stuphorn. (2018). Inactivation of Medial Frontal Cortex Changes Risk Preference. Current Biology. 28(19). 3114–3122.e4. 20 indexed citations
6.
Emeric, Erik E., et al.. (2018). First-Pass Processing of Value Cues in the Ventral Visual Pathway. Current Biology. 28(4). 538–548.e3. 16 indexed citations
7.
Chen, Xiaomo, Ştefan Mihalaş, Ernst Niebur, & Veit Stuphorn. (2013). Mechanisms underlying the influence of saliency on value-based decisions. Journal of Vision. 13(12). 18–18. 19 indexed citations
8.
Moher, Jeff, Jared Abrams, Howard E. Egeth, Steven Yantis, & Veit Stuphorn. (2011). Trial-by-trial adjustments of top-down set modulate oculomotor capture. Psychonomic Bulletin & Review. 18(5). 897–903. 37 indexed citations
9.
Scangos, Katherine W. & Veit Stuphorn. (2010). Medial Frontal Cortex Motivates But Does Not Control Movement Initiation in the Countermanding Task. Journal of Neuroscience. 30(5). 1968–1982. 91 indexed citations
10.
Chen, Xiaomo, Katherine W. Scangos, & Veit Stuphorn. (2010). Supplementary Motor Area Exerts Proactive and Reactive Control of Arm Movements. Journal of Neuroscience. 30(44). 14657–14675. 145 indexed citations
11.
Brown, Joshua W., Doug P. Hanes, Jeffrey D. Schall, & Veit Stuphorn. (2008). Relation of frontal eye field activity to saccade initiation during a countermanding task. Experimental Brain Research. 190(2). 135–151. 62 indexed citations
12.
Aron, Adam R., Sarah Durston, Dawn M. Eagle, et al.. (2007). Converging Evidence for a Fronto-Basal-Ganglia Network for Inhibitory Control of Action and Cognition: Figure 1.. Journal of Neuroscience. 27(44). 11860–11864. 424 indexed citations
13.
Emeric, Erik E., Joshua W. Brown, Leanne Boucher, et al.. (2006). Influence of history on saccade countermanding performance in humans and macaque monkeys. Vision Research. 47(1). 35–49. 132 indexed citations
14.
Stuphorn, Veit & Jeffrey D. Schall. (2006). Executive control of countermanding saccades by the supplementary eye field. Nature Neuroscience. 9(7). 925–931. 180 indexed citations
15.
Stuphorn, Veit. (2006). Neuroeconomics: Cardinal Utility in the Orbitofrontal Cortex?. Current Biology. 16(15). R591–R593. 10 indexed citations
16.
Stuphorn, Veit. (2005). Neuroeconomics: The Shadow of the Future. Current Biology. 15(7). R247–R249. 4 indexed citations
17.
Pouget, Pierre, et al.. (2005). Chronometry of Visual Responses in Frontal Eye Field, Supplementary Eye Field, and Anterior Cingulate Cortex. Journal of Neurophysiology. 94(3). 2086–2092. 69 indexed citations
18.
Stuphorn, Veit & Jeffrey D. Schall. (2002). Neuronal control and monitoring of initiation of movements. Muscle & Nerve. 26(3). 326–339. 37 indexed citations
19.
Kleiser, Raimund, et al.. (2001). Chapter 8 A possible role of the superior colliculus in eye-hand coordination. Progress in brain research. 134. 109–125. 57 indexed citations
20.
Stuphorn, Veit, Tracy Taylor, & Jeffrey D. Schall. (2000). Performance monitoring by the supplementary eye field. Nature. 408(6814). 857–860. 319 indexed citations

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.

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