Kay H. Brodersen
- Cognitive Neuroscience top 1%
- Artificial Intelligence top 2%
- Experimental and Cognitive Psychology top 2%
- Psychiatry and Mental health top 5%
- Physiology top 10%
- Co-authors
- Klaas Ε. StephanJoachim M. BuhmannCheng Soon OngSteven L. ScottJim KoehlerNicolas RémyChristoph MathysKatja Wiech
- Topics
- Neural dynamics and brain function (9 papers)Functional Brain Connectivity Studies (7 papers)Memory and Neural Mechanisms (3 papers)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Kay H. Brodersen
27 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Cognitive Neuroscience 1.6k
- Artificial Intelligence 556
- Experimental and Cognitive Psychology 434
- Psychiatry and Mental health 335
- Physiology 283
Countries citing papers authored by Kay H. Brodersen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 3 | |
| 3 | Variance Reduction in Bipartite Experiments through Correlation Clustering | 10 |
| 4 | 106 | |
| 5 | 57 | |
| 6 | 10 | |
| 7 | 272 | |
| 8 | 100 | |
| 9 | 251 | |
| 10 | 126 | |
| 11 | 28 | |
| 12 | 44 | |
| 13 | 134 | |
| 14 | Predicting Graduate-level Performance from Undergraduate Achievements. | 15 |
| 15 | 114 | |
| 16 | 23 | |
| 17 | The Balanced Accuracy and Its Posterior Distributionbreakdown → | 1006 |
| 18 | 360 | |
| 19 | 14 | |
| 20 | 32 |
About Kay H. Brodersen
Kay H. Brodersen is a scholar working on Cognitive Neuroscience, Statistics and Probability and Experimental and Cognitive Psychology, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Experimental and Cognitive Psychology (434 citations) and Psychiatry and Mental health (335 citations). Kay H. Brodersen has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Klaas Ε. Stephan, Joachim M. Buhmann, Cheng Soon Ong, Steven L. Scott, Jim Koehler, Nicolas Rémy, Christoph Mathys, Katja Wiech, Chia‐Shu Lin and Markus Ploner. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.