Anne E Urai

3.4k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Anne E Urai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sociology and Political Science. According to data from OpenAlex, Anne E Urai has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Sociology and Political Science. Recurrent topics in Anne E Urai's work include Neural dynamics and brain function (14 papers), Neural and Behavioral Psychology Studies (10 papers) and Visual perception and processing mechanisms (7 papers). Anne E Urai is often cited by papers focused on Neural dynamics and brain function (14 papers), Neural and Behavioral Psychology Studies (10 papers) and Visual perception and processing mechanisms (7 papers). Anne E Urai collaborates with scholars based in Netherlands, Germany and United States. Anne E Urai's co-authors include Tobias H. Donner, Anke Braun, Anne K. Churchland, Konstantinos Tsetsos, Jan Willem de Gee, Brent Doiron, Andrew M. Leifer, Marius Usher, Clare Kelly and Lars Schwabe and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Anne E Urai

24 papers receiving 1.2k citations

Hit Papers

Large-scale neural recordings call for new insights to li... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne E Urai Netherlands 17 919 164 127 103 98 27 1.2k
Alexandre Hyafil Spain 11 1.0k 1.1× 174 1.1× 202 1.6× 39 0.4× 42 0.4× 23 1.4k
Tom Beesley United Kingdom 18 895 1.0× 83 0.5× 232 1.8× 88 0.9× 125 1.3× 39 1.1k
Oren Griffiths Australia 17 705 0.8× 70 0.4× 203 1.6× 75 0.7× 85 0.9× 45 924
Nicolas W. Schuck Germany 18 1.1k 1.2× 214 1.3× 155 1.2× 54 0.5× 57 0.6× 45 1.3k
Klaus Wunderlich United Kingdom 13 984 1.1× 215 1.3× 147 1.2× 111 1.1× 30 0.3× 16 1.3k
Mona M. Garvert Germany 9 558 0.6× 102 0.6× 100 0.8× 36 0.3× 38 0.4× 17 674
Alireza Soltani United States 19 1.3k 1.4× 217 1.3× 155 1.2× 314 3.0× 63 0.6× 44 1.6k
Tommy C. Blanchard United States 11 667 0.7× 82 0.5× 128 1.0× 180 1.7× 33 0.3× 14 872
Xinying Cai China 12 1.2k 1.3× 241 1.5× 106 0.8× 104 1.0× 40 0.4× 31 1.3k
Sven Braeutigam United Kingdom 17 730 0.8× 76 0.5× 174 1.4× 33 0.3× 42 0.4× 32 1.0k

Countries citing papers authored by Anne E Urai

Since Specialization
Citations

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

Fields of papers citing papers by Anne E Urai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne E Urai. 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 Anne E Urai. The network helps show where Anne E Urai may publish in the future.

Co-authorship network of co-authors of Anne E Urai

This figure shows the co-authorship network connecting the top 25 collaborators of Anne E Urai. A scholar is included among the top collaborators of Anne E Urai 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 Anne E Urai. Anne E Urai 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.
Urai, Anne E, et al.. (2026). How to change research culture with participatory workshops. Nature Human Behaviour. 10(2). 209–211.
2.
Urai, Anne E. (2025). Structure uncovered: understanding temporal variability in perceptual decision-making. Trends in Cognitive Sciences. 30(1). 54–65.
3.
Urai, Anne E, Fabian Dablander, & Jan Willem Bolderdijk. (2025). Impactful environmental psychology needs formal theories. Current Opinion in Behavioral Sciences. 66. 101619–101619.
4.
Borghesani, Valentina, Milan Klöwer, Marie‐Eve Hoeppli, et al.. (2023). How can we reduce the climate costs of OHBM? A vision for a more sustainable meeting. SHILAP Revista de lepidopterología. 3. 7 indexed citations
5.
Urai, Anne E & Clare Kelly. (2023). Rethinking academia in a time of climate crisis. eLife. 12. 34 indexed citations
6.
Rae, Charlotte L., Martin Farley, Kathryn J. Jeffery, & Anne E Urai. (2022). Climate crisis and ecological emergency: Why they concern (neuro)scientists, and what we can do. PubMed. 6. 1502820326–1502820326. 25 indexed citations
7.
Ashwood, Zoe C., Nicholas Roy, Iris R. Stone, et al.. (2022). Mice alternate between discrete strategies during perceptual decision-making. Nature Neuroscience. 25(2). 201–212. 83 indexed citations
8.
Urai, Anne E, Brent Doiron, Andrew M. Leifer, & Anne K. Churchland. (2022). Large-scale neural recordings call for new insights to link brain and behavior. Nature Neuroscience. 25(1). 11–19. 150 indexed citations breakdown →
9.
Zhou, Dale, Jennifer Stiso, Eli J. Cornblath, et al.. (2022). dalejn/cleanBib: v1.1.2. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations
10.
Urai, Anne E, et al.. (2021). Choices change the temporal weighting of decision evidence. Journal of Neurophysiology. 125(4). 1468–1481. 9 indexed citations
11.
Whiteway, Matthew R, Mario Dipoppa, E. Kelly Buchanan, et al.. (2021). Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Computational Biology. 17(9). e1009439–e1009439. 16 indexed citations
12.
Urai, Anne E, Valeria Aguillon-Rodriguez, Inês C. Laranjeira, et al.. (2021). Citric Acid Water as an Alternative to Water Restriction for High-Yield Mouse Behavior. eNeuro. 8(1). ENEURO.0230–20.2020. 20 indexed citations
13.
Aron, Adam R., Richard B. Ivry, Kathryn J. Jeffery, et al.. (2020). How Can Neuroscientists Respond to the Climate Emergency?. Neuron. 106(1). 17–20. 14 indexed citations
14.
Gee, Jan Willem de, Konstantinos Tsetsos, Lars Schwabe, et al.. (2020). Pupil-linked phasic arousal predicts a reduction of choice bias across species and decision domains. eLife. 9. 64 indexed citations
15.
Musall, Simon, Anne E Urai, David Sussillo, & Anne K. Churchland. (2019). Harnessing behavioral diversity to understand neural computations for cognition. Current Opinion in Neurobiology. 58. 229–238. 31 indexed citations
16.
Urai, Anne E, et al.. (2018). Reading memory formation from the eyes. European Journal of Neuroscience. 47(12). 1525–1533. 18 indexed citations
17.
Colizoli, Olympia, Jan Willem de Gee, Anne E Urai, & Tobias H. Donner. (2018). Task-evoked pupil responses reflect internal belief states. Scientific Reports. 8(1). 13702–13702. 33 indexed citations
18.
Urai, Anne E, et al.. (2018). Confirmation Bias through Selective Overweighting of Choice-Consistent Evidence. Current Biology. 28(19). 3128–3135.e8. 94 indexed citations
19.
Urai, Anne E, Anke Braun, & Tobias H. Donner. (2017). Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nature Communications. 8(1). 14637–14637. 247 indexed citations
20.
Rebollo, Ignacio, et al.. (2016). Conscious Vision Proceeds from Global to Local Content in Goal-Directed Tasks and Spontaneous Vision. Journal of Neuroscience. 36(19). 5200–5213. 24 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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