Daniel A. Braun

3.3k total citations
57 papers, 2.2k citations indexed

About

Daniel A. Braun is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Daniel A. Braun has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 13 papers in Social Psychology and 12 papers in Artificial Intelligence. Recurrent topics in Daniel A. Braun's work include Motor Control and Adaptation (19 papers), Neural dynamics and brain function (18 papers) and Action Observation and Synchronization (13 papers). Daniel A. Braun is often cited by papers focused on Motor Control and Adaptation (19 papers), Neural dynamics and brain function (18 papers) and Action Observation and Synchronization (13 papers). Daniel A. Braun collaborates with scholars based in Germany, United Kingdom and United States. Daniel A. Braun's co-authors include Daniel M. Wolpert, Tim Genewein, Arne Nagengast, Pedro A. Ortega, Carsten Mehring, Jordi Grau-Moya, Ad Aertsen, Matthias Krüger, Felix Leibfried and Pascal Ortéga and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Current Biology.

In The Last Decade

Daniel A. Braun

55 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Braun Germany 20 1.4k 513 297 234 203 57 2.2k
Masahiko Haruno Japan 22 1.7k 1.2× 620 1.2× 301 1.0× 151 0.6× 334 1.6× 48 2.5k
Sarah H. Creem-Regehr United States 38 2.4k 1.7× 1.0k 2.0× 82 0.3× 369 1.6× 177 0.9× 139 4.4k
Marc Pomplun United States 28 1.4k 1.0× 306 0.6× 192 0.6× 371 1.6× 283 1.4× 109 2.9k
Mary K. Kaiser United States 26 1.2k 0.8× 621 1.2× 90 0.3× 476 2.0× 144 0.7× 84 2.8k
Sowon Hahn United States 21 1.7k 1.2× 311 0.6× 107 0.4× 122 0.5× 63 0.3× 69 2.6k
Gianluca Baldassarre Italy 30 1.7k 1.2× 768 1.5× 192 0.6× 401 1.7× 760 3.7× 149 3.7k
Peter McLeod United Kingdom 31 2.1k 1.5× 695 1.4× 180 0.6× 764 3.3× 332 1.6× 53 3.4k
R. H. S. Carpenter United Kingdom 35 3.6k 2.5× 325 0.6× 106 0.4× 224 1.0× 210 1.0× 121 5.4k
Willem B. Verwey Netherlands 34 2.5k 1.7× 1.7k 3.3× 413 1.4× 847 3.6× 111 0.5× 125 3.8k
Joo‐Hyun Song United States 27 1.8k 1.2× 443 0.9× 93 0.3× 365 1.6× 35 0.2× 77 2.3k

Countries citing papers authored by Daniel A. Braun

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Braun. 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 Daniel A. Braun. The network helps show where Daniel A. Braun may publish in the future.

Co-authorship network of co-authors of Daniel A. Braun

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Braun. A scholar is included among the top collaborators of Daniel A. Braun 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 Daniel A. Braun. Daniel A. Braun 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.
Braun, Daniel A., et al.. (2023). Cross-hemispheric recruitment during action planning with increasing task demand. Scientific Reports. 13(1). 15375–15375. 2 indexed citations
2.
Lindner, Axel, et al.. (2022). Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex. PLoS Computational Biology. 18(10). e1010585–e1010585. 2 indexed citations
3.
Braun, Daniel A., et al.. (2022). From Bayes-optimal to heuristic decision-making in a two-alternative forced choice task with an information-theoretic bounded rationality model. Frontiers in Neuroscience. 16. 906198–906198. 2 indexed citations
4.
Braun, Daniel A., et al.. (2019). Analyzing Abstraction and Hierarchical Decision-Making in Absolute Identification by Information-Theoretic Bounded Rationality. Frontiers in Neuroscience. 13. 1230–1230. 5 indexed citations
5.
Leibfried, Felix & Daniel A. Braun. (2016). Bounded rational decision-making in feedforward neural networks. Max Planck Digital Library. 407–416. 2 indexed citations
6.
Genewein, Tim & Daniel A. Braun. (2016). Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics. 110(2-3). 135–150. 2 indexed citations
7.
Grau-Moya, Jordi, Pedro A. Ortega, & Daniel A. Braun. (2016). Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context. Experiments and an Information-Theoretic Ambiguity Model. PLoS ONE. 11(4). e0153179–e0153179. 8 indexed citations
8.
Genewein, Tim, Felix Leibfried, Jordi Grau-Moya, & Daniel A. Braun. (2015). Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. Frontiers in Robotics and AI. 2. 60 indexed citations
9.
Genewein, Tim, et al.. (2015). Structure Learning in Bayesian Sensorimotor Integration. PLoS Computational Biology. 11(8). e1004369–e1004369. 12 indexed citations
10.
Leibfried, Felix, Jordi Grau-Moya, & Daniel A. Braun. (2015). Signaling equilibria in sensorimotor interactions. Cognition. 141. 73–86. 11 indexed citations
11.
Genewein, Tim & Daniel A. Braun. (2013). Abstraction in Decision-Makers with Limited Information Processing Capabilities. Max Planck Digital Library. 1–9. 2 indexed citations
12.
Grau-Moya, Jordi, Pedro A. Ortega, & Daniel A. Braun. (2012). Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Computational Biology. 8(9). e1002698–e1002698. 16 indexed citations
13.
Braun, Daniel A., Ad Aertsen, Rony Paz, et al.. (2011). Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control. Frontiers in Computational Neuroscience. 5. 27–27. 2 indexed citations
14.
Braun, Daniel A., et al.. (2011). Inferring Visuomotor Priors for Sensorimotor Learning. PLoS Computational Biology. 7(3). e1001112–e1001112. 25 indexed citations
15.
Nagengast, Arne, Daniel A. Braun, & Daniel M. Wolpert. (2010). Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty. PLoS Computational Biology. 6(7). e1000857–e1000857. 63 indexed citations
16.
Braun, Daniel A., Pedro A. Ortega, & Daniel M. Wolpert. (2009). Nash Equilibria in Multi-Agent Motor Interactions. PLoS Computational Biology. 5(8). e1000468–e1000468. 72 indexed citations
17.
Braun, Daniel A., Ad Aertsen, Daniel M. Wolpert, & Carsten Mehring. (2009). Learning Optimal Adaptation Strategies in Unpredictable Motor Tasks. Journal of Neuroscience. 29(20). 6472–6478. 83 indexed citations
18.
Braun, Daniel A., Ad Aertsen, Daniel M. Wolpert, & Carsten Mehring. (2009). Motor Task Variation Induces Structural Learning. Current Biology. 19(4). 352–357. 180 indexed citations
19.
Braun, Daniel A. & Daniel M. Wolpert. (2007). Optimal Control: When Redundancy Matters. Current Biology. 17(22). R973–R975. 8 indexed citations
20.
Albrecht, Jessica, Daniel A. Braun, & Manfred Fahle. (1994). An electrophysiological correlate of serial versus parallel processing. Investigative Ophthalmology & Visual Science. 35(4). 1621. 1 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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