Ulrik Beierholm

3.5k total citations · 1 hit paper
42 papers, 2.2k citations indexed

About

Ulrik Beierholm is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems. According to data from OpenAlex, Ulrik Beierholm has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 23 papers in Experimental and Cognitive Psychology and 8 papers in Sensory Systems. Recurrent topics in Ulrik Beierholm's work include Multisensory perception and integration (20 papers), Visual perception and processing mechanisms (15 papers) and Neural dynamics and brain function (11 papers). Ulrik Beierholm is often cited by papers focused on Multisensory perception and integration (20 papers), Visual perception and processing mechanisms (15 papers) and Neural dynamics and brain function (11 papers). Ulrik Beierholm collaborates with scholars based in United Kingdom, United States and Finland. Ulrik Beierholm's co-authors include Ladan Shams, Wei Ji, Steven R. Quartz, Konrad P. Körding, Joshua B. Tenenbaum, David R. Wozny, Peter Dayan, Marc Guitart‐Masip, Raymond J. Dolan and Emrah Düzel and has published in prestigious journals such as PLoS ONE, NeuroImage and Trends in Cognitive Sciences.

In The Last Decade

Ulrik Beierholm

37 papers receiving 2.2k citations

Hit Papers

Causal Inference in Multisensory Perception 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrik Beierholm United Kingdom 18 1.6k 1.3k 594 429 146 42 2.2k
Durk Talsma Netherlands 28 2.6k 1.6× 2.1k 1.6× 1.1k 1.9× 672 1.6× 52 0.4× 58 3.4k
John J. McDonald Canada 36 4.6k 2.8× 2.1k 1.6× 752 1.3× 686 1.6× 128 0.9× 75 5.3k
Robert Fendrich United States 27 1.9k 1.2× 784 0.6× 323 0.5× 273 0.6× 92 0.6× 55 2.3k
Valerio Santangelo Italy 28 1.3k 0.8× 864 0.7× 378 0.6× 538 1.3× 32 0.2× 78 1.9k
Toemme Noesselt Germany 26 2.2k 1.3× 1.6k 1.2× 843 1.4× 403 0.9× 124 0.8× 52 2.9k
Marcia Grabowecky United States 28 2.1k 1.3× 809 0.6× 207 0.3× 404 0.9× 137 0.9× 89 2.5k
Christopher R. Fetsch United States 14 1.5k 0.9× 595 0.4× 285 0.5× 151 0.4× 174 1.2× 20 1.7k
Jens‐Max Hopf Germany 31 3.2k 2.0× 521 0.4× 205 0.3× 217 0.5× 207 1.4× 89 3.8k
Suliann Ben Hamed France 31 2.9k 1.8× 708 0.5× 280 0.5× 494 1.2× 306 2.1× 81 3.4k
Erik Van der Burg Netherlands 26 1.7k 1.1× 1.5k 1.1× 812 1.4× 485 1.1× 19 0.1× 92 2.3k

Countries citing papers authored by Ulrik Beierholm

Since Specialization
Citations

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

Fields of papers citing papers by Ulrik Beierholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrik Beierholm

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrik Beierholm. A scholar is included among the top collaborators of Ulrik Beierholm 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 Ulrik Beierholm. Ulrik Beierholm 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.
Yates, Tim, et al.. (2025). Perceptual clustering in auditory streaming. PLoS Computational Biology. 21(7). e1013189–e1013189.
2.
Roy, Mathieu, et al.. (2024). Proximity to rewards modulates parameters of effortful control exertion.. Journal of Experimental Psychology General. 153(5). 1257–1267. 4 indexed citations
3.
Beierholm, Ulrik, et al.. (2024). BCI Toolbox: An open-source python package for the Bayesian causal inference model. PLoS Computational Biology. 20(7). e1011791–e1011791.
4.
Nardini, Marko, et al.. (2023). Different types of uncertainty in multisensory perceptual decision making. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1886). 20220349–20220349. 8 indexed citations
5.
Smith, Daniel T., Ulrik Beierholm, & M. I. Avery. (2023). A presaccadic perceptual impairment at the postsaccadic location of the blindspot. PLoS ONE. 18(9). e0291582–e0291582.
6.
Breckon, Toby P., et al.. (2022). Evaluating Gaussian Grasp Maps for Generative Grasping Models. 2022 International Joint Conference on Neural Networks (IJCNN). 1–9. 1 indexed citations
7.
Beierholm, Ulrik, et al.. (2022). Newly learned novel cues to location are combined with familiar cues but not always with each other.. Journal of Experimental Psychology Human Perception & Performance. 48(6). 639–652. 2 indexed citations
8.
Negen, James, et al.. (2021). Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data. Behavior Research Methods. 54(1). 508–521. 19 indexed citations
9.
Beierholm, Ulrik, et al.. (2020). Developmental changes to learning rates for novel perceptual priors. Journal of Vision. 20(11). 812–812.
10.
Ursino, Mauro, Cristiano Cuppini, Elisa Magosso, Ulrik Beierholm, & Ladan Shams. (2019). Explaining the Effect of Likelihood Manipulation and Prior Through a Neural Network of the Audiovisual Perception of Space. Multisensory Research. 32(2). 111–144. 4 indexed citations
11.
Rotshtein, Pia, et al.. (2018). The effect of attachment and environmental manipulations on cooperative behavior in the prisoner’s dilemma game. PLoS ONE. 13(11). e0205730–e0205730. 6 indexed citations
12.
Beierholm, Ulrik, D. M. Burt, Robert A. Barton, et al.. (2017). Nutritional status and the influence of TV consumption on female body size ideals in populations recently exposed to the media. Scientific Reports. 7(1). 8438–8438. 17 indexed citations
13.
Guitart‐Masip, Marc, Ulrik Beierholm, Raymond J. Dolan, Emrah Düzel, & Peter Dayan. (2011). Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination. Journal of Cognitive Neuroscience. 23(12). 3933–3938. 63 indexed citations
14.
Beierholm, Ulrik, et al.. (2011). Separate encoding of model-based and model-free valuations in the human brain. NeuroImage. 58(3). 955–962. 29 indexed citations
15.
Beierholm, Ulrik & Peter Dayan. (2010). Pavlovian-Instrumental Interaction in ‘Observing Behavior’. PLoS Computational Biology. 6(9). e1000903–e1000903. 28 indexed citations
16.
Wozny, David R., Ulrik Beierholm, & Ladan Shams. (2010). Probability Matching as a Computational Strategy Used in Perception. PLoS Computational Biology. 6(8). e1000871–e1000871. 166 indexed citations
17.
Beierholm, Ulrik, et al.. (2009). Comparing Bayesian models for multisensory cue combination without mandatory integration. CaltechAUTHORS (California Institute of Technology). 29 indexed citations
18.
Wozny, David R., Ulrik Beierholm, & Ladan Shams. (2008). Human trimodal perception follows optimal statistical inference. Journal of Vision. 8(3). 24–24. 129 indexed citations
19.
Körding, Konrad P., Ulrik Beierholm, Wei Ji, et al.. (2007). Causal Inference in Multisensory Perception. PLoS ONE. 2(9). e943–e943. 739 indexed citations breakdown →
20.
Beierholm, Ulrik, Jens Christian Jacobsen, Niels‐Henrik Holstein‐Rathlou, & Preben Alstrøm. (2006). Characteristics of blood vessels forming “sausages-on-a-string” patterns during hypertension. Physica A Statistical Mechanics and its Applications. 376. 387–393. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026