Ueli Rutishauser

7.3k total citations
84 papers, 4.3k citations indexed

About

Ueli Rutishauser is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ueli Rutishauser has authored 84 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Cognitive Neuroscience, 27 papers in Cellular and Molecular Neuroscience and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ueli Rutishauser's work include Neural dynamics and brain function (53 papers), Memory and Neural Mechanisms (36 papers) and Neuroscience and Neuropharmacology Research (22 papers). Ueli Rutishauser is often cited by papers focused on Neural dynamics and brain function (53 papers), Memory and Neural Mechanisms (36 papers) and Neuroscience and Neuropharmacology Research (22 papers). Ueli Rutishauser collaborates with scholars based in United States, Germany and Switzerland. Ueli Rutishauser's co-authors include Adam N. Mamelak, Erin M. Schuman, Christof Koch, Ian B. Ross, Dirk B. Walther, Pietro Perona, Ralph Adolphs, Wolfgang Einhäuser, Jeffrey M. Chung and Rodney J. Douglas and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ueli Rutishauser

81 papers receiving 4.2k citations

Peers

Ueli Rutishauser

CMN

CVPR

EEE

Li Zhaoping United Kingdom

Stefan Treue Germany

Denis Fize France

Rufin VanRullen France

N. Jeremy Hill United States

Jean‐Marc Fellous United States

Julio Martínez-Trujillo Canada

Anthony M. Norcia United States

Charles E. Connor United States

R. H. S. Carpenter United Kingdom

Li Zhaoping United Kingdom

Ueli Rutishauser

3.3k ×1.0

495 ×0.4

CMN

1.2k ×1.3

CVPR

472 ×1.3

161 ×0.5

EEE

Citations per year, relative to Ueli Rutishauser Ueli Rutishauser (= 1×) peers Li Zhaoping

Countries citing papers authored by Ueli Rutishauser

Since Specialization

Citations

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

Fields of papers citing papers by Ueli Rutishauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ueli Rutishauser

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

All Works

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20 of 20 papers shown

Rutishauser, Ueli, et al.. (2025). Consistent Hierarchies of Single-Neuron Timescales in Mice, Macaques, and Humans. Journal of Neuroscience. 45(19). e2155242025–e2155242025. 1 indexed citations

Dubois, Julien, et al.. (2024). Domain-specific representation of social inference by neurons in the human amygdala and hippocampus. Science Advances. 10(49). eado6166–eado6166.

Dubois, Julien, J. Michael Tyszka, Chrystal M. Reed, et al.. (2024). Multimodal single-neuron, intracranial EEG, and fMRI brain responses during movie watching in human patients. Scientific Data. 11(1). 214–214. 4 indexed citations

Zheng, Jie, Andrea Gómez Palacio Schjetnan, Clayton P. Mosher, et al.. (2024). Theta phase precession supports memory formation and retrieval of naturalistic experience in humans. Nature Human Behaviour. 8(12). 2423–2436. 9 indexed citations

Daume, Jonathan, Jan Kamiński, Andrea Gómez Palacio Schjetnan, et al.. (2024). Control of working memory by phase–amplitude coupling of human hippocampal neurons. Nature. 629(8011). 393–401. 32 indexed citations

Daume, Jonathan, Jan Kamiński, Yousef Salimpour, et al.. (2024). Persistent activity during working memory maintenance predicts long-term memory formation in the human hippocampus. Neuron. 112(23). 3957–3968.e3. 2 indexed citations

Sun, Sai, et al.. (2023). A uniform human multimodal dataset for emotion perception and judgment. Scientific Data. 10(1). 773–773. 3 indexed citations

Sajad, Amirsaman, et al.. (2023). Neurophysiological mechanisms of error monitoring in human and non-human primates. Nature reviews. Neuroscience. 24(3). 153–172. 29 indexed citations

Zheng, Jie, et al.. (2023). Little Memory Editors Living Inside Your Brain. Frontiers for Young Minds. 11.

10.

Cockburn, Jeffrey, et al.. (2023). Neurons in human pre-supplementary motor area encode key computations for value-based choice. Nature Human Behaviour. 7(6). 970–985. 15 indexed citations

11.

Zheng, Jie, Andrea Gómez Palacio Schjetnan, Clayton P. Mosher, et al.. (2022). Neurons detect cognitive boundaries to structure episodic memories in humans. Nature Neuroscience. 25(3). 358–368. 60 indexed citations

12.

Minxha, Juri, et al.. (2022). Properties and hemispheric differences of theta oscillations in the human hippocampus. Hippocampus. 32(5). 335–341. 7 indexed citations

13.

Minxha, Juri, Ralph Adolphs, Stefano Fusi, Adam N. Mamelak, & Ueli Rutishauser. (2020). Flexible recruitment of memory-based choice representations by the human medial frontal cortex. Science. 368(6498). 68 indexed citations

14.

Wu, Daw‐An, Ian B. Ross, Jeffrey M. Chung, et al.. (2018). Single-Neuron Correlates of Error Monitoring and Post-Error Adjustments in Human Medial Frontal Cortex. Neuron. 101(1). 165–177.e5. 78 indexed citations

15.

Sullivan, Shannon, Oana Tudusciuc, Ian B. Ross, et al.. (2018). Dataset of human medial temporal lobe single neuron activity during declarative memory encoding and recognition. Scientific Data. 5(1). 180010–180010. 30 indexed citations

16.

Rutishauser, Ueli, et al.. (2018). Safety and Utility of Hybrid Depth Electrodes for Seizure Localization and Single-Unit Neuronal Recording. Stereotactic and Functional Neurosurgery. 96(5). 311–319. 23 indexed citations

17.

Wang, Shuo, Rongjun Yu, J. Michael Tyszka, et al.. (2017). The human amygdala parametrically encodes the intensity of specific facial emotions and their categorical ambiguity. Nature Communications. 8(1). 14821–14821. 106 indexed citations

18.

Minxha, Juri, Clayton P. Mosher, Adam N. Mamelak, et al.. (2017). Fixations Gate Species-Specific Responses to Free Viewing of Faces in the Human and Macaque Amygdala. Cell Reports. 18(4). 878–891. 57 indexed citations

19.

Rutishauser, Ueli, Adam N. Mamelak, & Ralph Adolphs. (2015). The primate amygdala in social perception – insights from electrophysiological recordings and stimulation. Trends in Neurosciences. 38(5). 295–306. 94 indexed citations

20.

Slotine, Jean-Jacques, Rodney J. Douglas, & Ueli Rutishauser. (2011). Collective stability of networks of winner-take-all circuits. DSpace@MIT (Massachusetts Institute of Technology). 42 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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