Dario Schöbi

433 total citations
10 papers, 119 citations indexed

About

Dario Schöbi is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Dario Schöbi has authored 10 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 2 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Dario Schöbi's work include Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (5 papers) and Neuroscience and Music Perception (3 papers). Dario Schöbi is often cited by papers focused on Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (5 papers) and Neuroscience and Music Perception (3 papers). Dario Schöbi collaborates with scholars based in Switzerland, Germany and United Kingdom. Dario Schöbi's co-authors include Klaas Ε. Stephan, Jakob Heinzle, Stefan Frässle, Eduardo A. Aponte, Lianne Schmaal, Marie‐José van Tol, Dick J. Veltman, Brenda W.J.H. Penninx, Nic J.A. van der Wee and André F. Marquand and has published in prestigious journals such as NeuroImage, Schizophrenia Bulletin and eLife.

In The Last Decade

Dario Schöbi

10 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dario Schöbi Switzerland 6 82 42 15 13 11 10 119
Kerttu Seppälä Finland 7 89 1.1× 30 0.7× 13 0.9× 12 0.9× 9 0.8× 14 168
Cherise Chin-Fatt United States 4 73 0.9× 47 1.1× 17 1.1× 9 0.7× 7 0.6× 4 136
Yankun Wu China 7 75 0.9× 48 1.1× 28 1.9× 4 0.3× 15 1.4× 16 127
Siri Ranlund United Kingdom 6 154 1.9× 24 0.6× 44 2.9× 13 1.0× 20 1.8× 6 197
Shuichi Isomura Japan 3 71 0.9× 8 0.2× 25 1.7× 15 1.2× 11 1.0× 3 97
Lena Dorfschmidt United Kingdom 6 37 0.5× 28 0.7× 14 0.9× 8 0.6× 20 1.8× 13 95
Erica J. Ho United States 4 97 1.2× 46 1.1× 30 2.0× 4 0.3× 8 0.7× 5 132
Andreas Cordes Germany 6 51 0.6× 16 0.4× 6 0.4× 8 0.6× 12 1.1× 12 148
Alex Ing United Kingdom 8 130 1.6× 53 1.3× 38 2.5× 5 0.4× 40 3.6× 10 175

Countries citing papers authored by Dario Schöbi

Since Specialization
Citations

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

Fields of papers citing papers by Dario Schöbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Schöbi

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

All Works

10 of 10 papers shown
1.
2.
Schöbi, Dario, et al.. (2022). Evaluation of Speech and Pause Alterations in Patients With Acute and Chronic Heart Failure. Journal of the American Heart Association. 11(21). e027023–e027023. 9 indexed citations
3.
Schöbi, Dario, Stefan Frässle, Heike Endepols, et al.. (2021). Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. NeuroImage. 237. 118096–118096. 13 indexed citations
4.
Schöbi, Dario, et al.. (2021). Technical note: A fast and robust integrator of delay differential equations in DCM for electrophysiological data. NeuroImage. 244. 118567–118567. 3 indexed citations
5.
Frässle, Stefan, et al.. (2021). Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage. 245. 118662–118662. 4 indexed citations
6.
Frässle, Stefan, André F. Marquand, Lianne Schmaal, et al.. (2020). Predicting individual clinical trajectories of depression with generative embedding. NeuroImage Clinical. 26. 102213–102213. 33 indexed citations
7.
Aponte, Eduardo A., Dario Schöbi, Klaas Ε. Stephan, & Jakob Heinzle. (2019). Computational Dissociation of Dopaminergic and Cholinergic Effects on Action Selection and Inhibitory Control. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(3). 364–372. 3 indexed citations
8.
Frässle, Stefan, et al.. (2018). Generative models for clinical applications in computational psychiatry. Wiley Interdisciplinary Reviews Cognitive Science. 9(3). e1460–e1460. 25 indexed citations
9.
Weber, Lilian, Andreea O. Diaconescu, Dario Schöbi, et al.. (2018). F157. HIERARCHICAL PREDICTION ERRORS DURING AUDITORY MISMATCH UNDER PHARMACOLOGICAL MANIPULATIONS: A COMPUTATIONAL SINGLE-TRIAL EEG ANALYSIS. Schizophrenia Bulletin. 44(suppl_1). S281–S282. 3 indexed citations
10.
Aponte, Eduardo A., Dario Schöbi, Klaas Ε. Stephan, & Jakob Heinzle. (2017). The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades. PLoS Computational Biology. 13(8). e1005692–e1005692. 13 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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