Stefan T. Radev

720 total citations
28 papers, 317 citations indexed

About

Stefan T. Radev is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Stefan T. Radev has authored 28 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 6 papers in Psychiatry and Mental health. Recurrent topics in Stefan T. Radev's work include Gaussian Processes and Bayesian Inference (7 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Stefan T. Radev is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Stefan T. Radev collaborates with scholars based in Germany, United States and Austria. Stefan T. Radev's co-authors include Andreas Voß, Ullrich Köthe, Ulf K. Mertens, Lynton Ardizzone, Paul‐Christian Bürkner, Lilian Konicar, Luise Poustka, Paul L. Plener, Till Bärnighausen and Manfred Klöbl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Stefan T. Radev

25 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan T. Radev Germany 11 112 78 33 33 31 28 317
Ulf K. Mertens Germany 7 105 0.9× 65 0.8× 74 2.2× 6 0.2× 22 0.7× 10 309
David Degras United States 8 38 0.3× 51 0.7× 16 0.5× 4 0.1× 8 0.3× 17 244
Thomas Noll United States 15 96 0.9× 27 0.3× 26 0.8× 6 0.2× 38 1.2× 66 679
Keisuke Fujii Japan 15 88 0.8× 117 1.5× 29 0.9× 17 0.5× 95 625
Jason K. Johnson United States 12 91 0.8× 153 2.0× 11 0.3× 18 0.5× 25 498
Ian Fuss Australia 6 70 0.6× 64 0.8× 36 1.1× 29 0.9× 15 231
Yale Chang United States 11 176 1.6× 90 1.2× 109 3.3× 21 0.6× 3 0.1× 19 578
Gianluca Frasso Belgium 11 58 0.5× 27 0.3× 7 0.2× 20 0.6× 1 0.0× 15 293
Shakoor Pooseh Germany 14 146 1.3× 5 0.1× 87 2.6× 26 0.8× 57 1.8× 31 589
Günther Sawitzki Germany 9 26 0.2× 128 1.6× 124 3.8× 43 1.3× 16 515

Countries citing papers authored by Stefan T. Radev

Since Specialization
Citations

This map shows the geographic impact of Stefan T. Radev'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 Stefan T. Radev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan T. Radev more than expected).

Fields of papers citing papers by Stefan T. Radev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan T. Radev. 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 Stefan T. Radev. The network helps show where Stefan T. Radev may publish in the future.

Co-authorship network of co-authors of Stefan T. Radev

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan T. Radev. A scholar is included among the top collaborators of Stefan T. Radev 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 Stefan T. Radev. Stefan T. Radev 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.
2.
Madhusudan, M. D., Claudio Bruschini, Stefan T. Radev, et al.. (2025). Real-time wide-field fluorescence lifetime imaging via single-snapshot acquisition for biomedical applications. PhotoniX. 6(1). 58–58.
3.
Radev, Stefan T., et al.. (2024). Simulation-based prior knowledge elicitation for parametric Bayesian models. Scientific Reports. 14(1). 17330–17330. 6 indexed citations
4.
Nees, Frauke, Stefan T. Radev, Carolina Sitges, et al.. (2024). Neural dynamics of pain modulation by emotional valence. Cerebral Cortex. 34(9). 2 indexed citations
5.
Bürkner, Paul‐Christian, et al.. (2024). A deep learning method for comparing Bayesian hierarchical models.. Psychological Methods. 5 indexed citations
6.
Voß, Andreas, et al.. (2024). Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application. Computational Brain & Behavior. 8(2). 191–210. 2 indexed citations
7.
Klöbl, Manfred, Rupert Lanzenberger, Paul L. Plener, et al.. (2024). Multisession tDCS combined with intrastimulation training improves emotion recognition in adolescents with autism spectrum disorder. Neurotherapeutics. 21(6). e00460–e00460. 4 indexed citations
8.
9.
Radev, Stefan T., et al.. (2023). BayesFlow: Amortized Bayesian Workflows With NeuralNetworks. The Journal of Open Source Software. 8(89). 5702–5702. 12 indexed citations
10.
Bürkner, Paul‐Christian, et al.. (2023). Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy. 17(none). 10 indexed citations
11.
Bürkner, Paul‐Christian, et al.. (2023). Neural superstatistics for Bayesian estimation of dynamic cognitive models. Scientific Reports. 13(1). 13778–13778. 11 indexed citations
12.
Radev, Stefan T., et al.. (2022). Mental speed is high until age 60 as revealed by analysis of over a million participants. Nature Human Behaviour. 6(5). 700–708. 23 indexed citations
13.
Radev, Stefan T., et al.. (2022). Gamma Band Oscillations Reflect Sensory and Affective Dimensions of Pain. Frontiers in Neurology. 12. 695187–695187. 10 indexed citations
14.
Radev, Stefan T., et al.. (2022). Impulsivity Moderates the Effect of Neurofeedback Training on the Contingent Negative Variation in Autism Spectrum Disorder. Frontiers in Human Neuroscience. 16. 838080–838080. 4 indexed citations
15.
Konicar, Lilian, Stefan T. Radev, Stefano Silvoni, et al.. (2021). Balancing the brain of offenders with psychopathy? Resting state EEG and electrodermal activity after a pilot study of brain self-regulation training. PLoS ONE. 16(1). e0242830–e0242830. 6 indexed citations
16.
Radev, Stefan T., et al.. (2021). Stability and Change in Diffusion Model Parameters over Two Years. Journal of Intelligence. 9(2). 26–26. 4 indexed citations
17.
Radev, Stefan T., Frederik Graw, Simiao Chen, et al.. (2021). OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany. PLoS Computational Biology. 17(10). e1009472–e1009472. 16 indexed citations
18.
Konicar, Lilian, Stefan T. Radev, Manfred Klöbl, et al.. (2021). Volitional modification of brain activity in adolescents with Autism Spectrum Disorder: A Bayesian analysis of Slow Cortical Potential neurofeedback. NeuroImage Clinical. 29. 102557–102557. 11 indexed citations
19.
Radev, Stefan T., Ulf K. Mertens, Andreas Voß, Lynton Ardizzone, & Ullrich Köthe. (2020). BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 33(4). 1452–1466. 101 indexed citations
20.
Mertens, Ulf K., Andreas Voß, & Stefan T. Radev. (2018). ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison. PLoS ONE. 13(3). e0193981–e0193981. 6 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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