Kay H. Brodersen

5.8k total citations · 2 hit papers
27 papers, 3.5k citations indexed

About

Kay H. Brodersen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Kay H. Brodersen has authored 27 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Kay H. Brodersen's work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (3 papers). Kay H. Brodersen is often cited by papers focused on Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (3 papers). Kay H. Brodersen collaborates with scholars based in Switzerland, United Kingdom and Germany. Kay H. Brodersen's co-authors include Klaas Ε. Stephan, Joachim M. Buhmann, Cheng Soon Ong, Nicolas Rémy, Jim Koehler, Steven L. Scott, Christoph Mathys, Markus Ploner, Sandra Iglesias and Irene Tracey and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Kay H. Brodersen

27 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Balanced Accuracy and Its Posterior Distribution

2010 1.0k citations Kay H. Brodersen, Cheng Soon Ong et al. profile →
Inferring causal impact using Bayesian structural time-series models

2015 566 citations Kay H. Brodersen, Jim Koehler et al. The Annals of Applied Statistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kay H. Brodersen Switzerland	20	1.6k	556	434	335	283	27	3.5k
Paul H. Garthwaite United Kingdom	42	2.3k 1.4×	756 1.4×	633 1.5×	669 2.0×	311 1.1×	128	8.3k
Denis Cousineau Canada	28	2.1k 1.4×	276 0.5×	793 1.8×	233 0.7×	223 0.8×	142	5.0k
Chi‐Hua Chen Taiwan	35	1.2k 0.8×	422 0.8×	473 1.1×	421 1.3×	215 0.8×	169	4.4k
Théo Gasser Switzerland	49	2.4k 1.5×	780 1.4×	251 0.6×	676 2.0×	244 0.9×	134	8.0k
Philip T. Reiss United States	29	2.1k 1.3×	219 0.4×	446 1.0×	431 1.3×	134 0.5×	80	4.3k
Hernando Ombao United States	34	1.4k 0.9×	280 0.5×	492 1.1×	347 1.0×	100 0.4×	166	3.6k
Harold D. Delaney United States	34	1.1k 0.7×	570 1.0×	907 2.1×	300 0.9×	229 0.8×	79	8.0k
Francisco del Pozo Spain	36	1.6k 1.0×	271 0.5×	262 0.6×	297 0.9×	217 0.8×	164	4.8k
Donald R. Brown United States	32	1.2k 0.8×	380 0.7×	532 1.2×	137 0.4×	197 0.7×	183	7.5k
Misha Pavel United States	37	1.4k 0.9×	528 0.9×	536 1.2×	433 1.3×	315 1.1×	165	5.2k

Countries citing papers authored by Kay H. Brodersen

Since Specialization

Citations

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

Fields of papers citing papers by Kay H. Brodersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay H. Brodersen. 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 Kay H. Brodersen. The network helps show where Kay H. Brodersen may publish in the future.

Co-authorship network of co-authors of Kay H. Brodersen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cole, David M., Andreea O. Diaconescu, Ulrich J. Pfeiffer, et al.. (2020). Atypical processing of uncertainty in individuals at risk for psychosis. NeuroImage Clinical. 26. 102239–102239. 46 indexed citations

Iglesias, Sandra, Christoph Mathys, Kay H. Brodersen, et al.. (2019). Hierarchical prediction errors in midbrain and basal forebrain during sensory learning (Correction to: vol 80, pp. 519-530, 2013). Neuron. 101. 1196–1201. 3 indexed citations

Pouget-Abadie, Jean, et al.. (2019). Variance Reduction in Bipartite Experiments through Correlation Clustering. Neural Information Processing Systems. 32. 13288–13298. 10 indexed citations

Stephan, Klaas Ε., Florian Schlagenhauf, Quentin J. M. Huys, et al.. (2016). Computational neuroimaging strategies for single patient predictions. NeuroImage. 145(Pt B). 180–199. 106 indexed citations

Jocham, Gerhard, Kay H. Brodersen, Alexandra O. Constantinescu, et al.. (2016). Reward-Guided Learning with and without Causal Attribution. Neuron. 90(1). 177–190. 57 indexed citations

Lomakina, Ekaterina I., Saee Paliwal, Andreea O. Diaconescu, et al.. (2015). Inversion of hierarchical Bayesian models using Gaussian processes. NeuroImage. 118. 133–145. 10 indexed citations

Brodersen, Kay H., et al.. (2015). Inferring causal impact using Bayesian structural time-series models. The Annals of Applied Statistics. 9(1). 566 indexed citations breakdown →

Brodersen, Kay H., et al.. (2015). A Model-Based Approach to Predicting Graduate-Level Performance Using Indicators of Undergraduate-Level Performance. Zenodo (CERN European Organization for Nuclear Research). 41 indexed citations

Mathys, Christoph, Ekaterina I. Lomakina, Jean Daunizeau, et al.. (2014). Uncertainty in perception and the Hierarchical Gaussian Filter. Frontiers in Human Neuroscience. 8. 825–825. 272 indexed citations

10.

Brodersen, Kay H., Lorenz Deserno, Florian Schlagenhauf, et al.. (2013). Dissecting psychiatric spectrum disorders by generative embedding. NeuroImage Clinical. 4. 98–111. 126 indexed citations

11.

Klein-Flügge, Miriam C., Helen C. Barron, Kay H. Brodersen, Raymond J. Dolan, & Timothy E.J. Behrens. (2013). Segregated Encoding of Reward–Identity and Stimulus–Reward Associations in Human Orbitofrontal Cortex. Journal of Neuroscience. 33(7). 3202–3211. 100 indexed citations

12.

Iglesias, Sandra, Christoph Mathys, Kay H. Brodersen, et al.. (2013). Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning. Neuron. 80(2). 519–530. 251 indexed citations

13.

Brodersen, Kay H., Christoph Mathys, Justin Chumbley, et al.. (2012). Bayesian mixed-effects inference on classification performance in hierarchical datasets. Journal of Machine Learning Research. 13(1). 3133–3176. 16 indexed citations

14.

Brodersen, Kay H., et al.. (2011). Predicting Graduate-level Performance from Undergraduate Achievements.. Educational Data Mining. 357–358. 15 indexed citations

15.

Brodersen, Kay H., Thomas M. Schofield, Alexander Leff, et al.. (2011). Generative Embedding for Model-Based Classification of fMRI Data. PLoS Computational Biology. 7(6). e1002079–e1002079. 114 indexed citations

16.

Brodersen, Kay H., Florent Haiss, Cheng Soon Ong, et al.. (2010). Model-based feature construction for multivariate decoding. NeuroImage. 56(2). 601–615. 23 indexed citations

17.

Brodersen, Kay H., Cheng Soon Ong, Klaas Ε. Stephan, & Joachim M. Buhmann. (2010). The Balanced Accuracy and Its Posterior Distribution. 3121–3124. 1006 indexed citations breakdown →

18.

Wiech, Katja, Chia‐Shu Lin, Kay H. Brodersen, et al.. (2010). Anterior Insula Integrates Information about Salience into Perceptual Decisions about Pain. Journal of Neuroscience. 30(48). 16324–16331. 360 indexed citations

19.

Stephan, Klaas Ε., Lars Kasper, Kay H. Brodersen, & Christoph Mathys. (2009). Funktionelle und effektive Konnektivität. Klinische Neurophysiologie. 40(4). 222–232. 14 indexed citations

20.

Brodersen, Kay H., W.D. Penny, Lee Harrison, et al.. (2008). Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Networks. 21(9). 1247–1260. 32 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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