Fabian Sobotka

15 total papers · 504 total citations
11 papers, 323 citations indexed

About

Fabian Sobotka is a scholar working on Statistics and Probability, Economics and Econometrics and Cognitive Neuroscience. According to data from OpenAlex, Fabian Sobotka has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Economics and Econometrics and 2 papers in Cognitive Neuroscience. Recurrent topics in Fabian Sobotka's work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Methods and Models (3 papers). Fabian Sobotka is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Methods and Models (3 papers). Fabian Sobotka collaborates with scholars based in Germany, United Kingdom and Denmark. Fabian Sobotka's co-authors include Thomas Kneib, Göran Kauermann, Elisabeth Waldmann, Daniel Strüber, Christoph S. Herrmann, Giampiero Marra, Rosalba Radice, Svend Kreiner, Iris Pigeot and Ronja Foraita and has published in prestigious journals such as Frontiers in Human Neuroscience, Journal of the Royal Statistical Society Series C (Applied Statistics) and Computational Statistics & Data Analysis.

In The Last Decade

Fabian Sobotka

11 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fabian Sobotka 172 63 60 50 41 11 323
Martin Wendler 108 0.6× 34 0.5× 59 1.0× 86 1.7× 30 0.7× 28 249
Dale S. Borowiak 129 0.8× 49 0.8× 39 0.7× 65 1.3× 32 0.8× 10 362
Gianna Agrò 189 1.1× 83 1.3× 24 0.4× 45 0.9× 25 0.6× 13 333
A. J. Lee 130 0.8× 67 1.1× 23 0.4× 25 0.5× 21 0.5× 12 289
Xiao Han 216 1.3× 79 1.3× 79 1.3× 82 1.6× 21 0.5× 23 360
Miguel de Carvalho 122 0.7× 86 1.4× 67 1.1× 85 1.7× 51 1.2× 43 345
Sally Wood 220 1.3× 161 2.6× 49 0.8× 28 0.6× 14 0.3× 12 355
Klaus J. Utikal 146 0.8× 76 1.2× 23 0.4× 19 0.4× 13 0.3× 11 235
A.J. van Reeken 93 0.5× 32 0.5× 31 0.5× 29 0.6× 50 1.2× 8 300
Yashaswini Mittal 87 0.5× 54 0.9× 39 0.7× 84 1.7× 69 1.7× 10 312

Countries citing papers authored by Fabian Sobotka

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Sobotka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Sobotka

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

All Works

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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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