Urs Schüffelgen

1.1k total citations
8 papers, 751 citations indexed

About

Urs Schüffelgen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Urs Schüffelgen has authored 8 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 2 papers in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in Urs Schüffelgen's work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Neural and Behavioral Psychology Studies (3 papers). Urs Schüffelgen is often cited by papers focused on Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Neural and Behavioral Psychology Studies (3 papers). Urs Schüffelgen collaborates with scholars based in United Kingdom, United States and Netherlands. Urs Schüffelgen's co-authors include Matthew F. S. Rushworth, Rogier B. Mars, Jérôme Sallet, Saâd Jbabdi, Ivan Toni, Timothy E.J. Behrens, Steven F. Cuell, Jill X. O’Reilly, Mark J. Buckley and Marco K. Wittmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Urs Schüffelgen

8 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Urs Schüffelgen United Kingdom 6 654 144 98 90 68 8 751
Hannes Ruge Germany 20 1.0k 1.6× 143 1.0× 224 2.3× 54 0.6× 113 1.7× 55 1.2k
Anjali Raja Beharelle Switzerland 11 347 0.5× 91 0.6× 128 1.3× 42 0.5× 98 1.4× 13 539
Doris Eckstein Switzerland 11 555 0.8× 107 0.7× 162 1.7× 37 0.4× 133 2.0× 16 807
Clémence Roger France 9 611 0.9× 73 0.5× 96 1.0× 26 0.3× 41 0.6× 20 699
Franziska M. Korb Germany 14 565 0.9× 100 0.7× 162 1.7× 24 0.3× 62 0.9× 29 692
Ulla Martens Germany 16 792 1.2× 96 0.7× 141 1.4× 24 0.3× 97 1.4× 30 909
Adam Krawitz United States 8 502 0.8× 41 0.3× 179 1.8× 39 0.4× 58 0.9× 9 626
Chantal Roggeman Belgium 12 479 0.7× 51 0.4× 98 1.0× 34 0.4× 143 2.1× 14 728
Mai Nguyen United States 9 645 1.0× 158 1.1× 161 1.6× 71 0.8× 57 0.8× 14 819
Helga A. Harsay Netherlands 9 622 1.0× 113 0.8× 177 1.8× 35 0.4× 35 0.5× 10 806

Countries citing papers authored by Urs Schüffelgen

Since Specialization
Citations

This map shows the geographic impact of Urs Schüffelgen'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 Urs Schüffelgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Schüffelgen more than expected).

Fields of papers citing papers by Urs Schüffelgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs Schüffelgen. 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 Urs Schüffelgen. The network helps show where Urs Schüffelgen may publish in the future.

Co-authorship network of co-authors of Urs Schüffelgen

This figure shows the co-authorship network connecting the top 25 collaborators of Urs Schüffelgen. A scholar is included among the top collaborators of Urs Schüffelgen 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 Urs Schüffelgen. Urs Schüffelgen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Khalighinejad, Nima, Alessandro Bongioanni, Urs Schüffelgen, et al.. (2024). General mechanisms of task engagement in the primate frontal cortex. Nature Communications. 15(1). 4802–4802. 4 indexed citations
2.
Schüffelgen, Urs, et al.. (2022). Model‐based dynamic off‐resonance correction for improved accelerated fMRI in awake behaving nonhuman primates. Magnetic Resonance in Medicine. 87(6). 2922–2932. 3 indexed citations
3.
Ainsworth, Matthew, Jérôme Sallet, Olivier Joly, et al.. (2021). Viewing Ambiguous Social Interactions Increases Functional Connectivity between Frontal and Temporal Nodes of the Social Brain. Journal of Neuroscience. 41(28). 6070–6086. 15 indexed citations
4.
Schüffelgen, Urs, Franz-Xaver Neubert, Alessandro Bongioanni, et al.. (2020). Multiple systems in macaques for tracking prediction errors and other types of surprise. PLoS Biology. 18(10). e3000899–e3000899. 8 indexed citations
5.
Bridge, Holly, Andrew H. Bell, Matthew Ainsworth, et al.. (2019). Preserved extrastriate visual network in a monkey with substantial, naturally occurring damage to primary visual cortex. eLife. 8. 18 indexed citations
6.
Papageorgiou, Georgios, Jérôme Sallet, Marco K. Wittmann, et al.. (2017). Inverted activity patterns in ventromedial prefrontal cortex during value-guided decision-making in a less-is-more task. Nature Communications. 8(1). 1886–1886. 37 indexed citations
7.
O’Reilly, Jill X., Urs Schüffelgen, Steven F. Cuell, et al.. (2013). Dissociable effects of surprise and model update in parietal and anterior cingulate cortex. Proceedings of the National Academy of Sciences. 110(38). E3660–9. 237 indexed citations
8.
Mars, Rogier B., Jérôme Sallet, Urs Schüffelgen, et al.. (2011). Connectivity-Based Subdivisions of the Human Right "Temporoparietal Junction Area": Evidence for Different Areas Participating in Different Cortical Networks. Cerebral Cortex. 22(8). 1894–1903. 429 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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