Fabian Sobotka

512 total citations
11 papers, 326 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 326 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, Christoph S. Herrmann, Elisabeth Waldmann, Daniel Strüber, Rosalba Radice, Giampiero Marra, Ronja Foraita, Svend Kreiner and Iris Pigeot 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 321 citations

Peers

Fabian Sobotka

SP

AI

EE

FINAN

MSOR

Martin Wendler Germany

Gabriel A. Rodriguez‐Yam Mexico

Juhyun Park United Kingdom

Sara Wade United Kingdom

Daniel Vogel Germany

Gianna Agrò Italy

Miguel de Carvalho United Kingdom

Cheolyong Park South Korea

Jianhui Zhou United States

Pham Dinh Tuan France

Martin Wendler Germany

Fabian Sobotka

113 ×0.7

SP

35 ×0.6

AI

59 ×1.0

EE

91 ×1.8

FINAN

30 ×0.7

MSOR

Citations per year, relative to Fabian Sobotka Fabian Sobotka (= 1×) peers Martin Wendler

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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11 of 11 papers shown

1.

Sobotka, Fabian, et al.. (2018). Adjusting Expectations: Hearing Abilities in a Population-Based Sample Using an SSQ Short Form. Trends in Hearing. 22. 2759796549–2759796549. 4 indexed citations

2.

Strüber, Daniel, et al.. (2017). Ten Minutes of α-tACS and Ambient Illumination Independently Modulate EEG α-Power. Frontiers in Human Neuroscience. 11. 257–257. 31 indexed citations

3.

Sobotka, Fabian, et al.. (2017). Nurses and opioids: results of a bi-national survey on mental models regarding opioid administration in hospitals. Journal of Pain Research. Volume 10. 481–493. 5 indexed citations

4.

Sobotka, Fabian, et al.. (2017). Model selection in semiparametric expectile regression. Electronic Journal of Statistics. 11(2). 17 indexed citations

5.

Waldmann, Elisabeth, Fabian Sobotka, & Thomas Kneib. (2016). Bayesian regularisation in geoadditive expectile regression. Statistics and Computing. 27(6). 1539–1553. 18 indexed citations

6.

Berg, Tore Julsrud, et al.. (2016). Der De Morton Mobility Index zur Evaluation der geriatrischen Frührehabilitation. Zeitschrift für Gerontologie und Geriatrie. 49(5). 398–404. 7 indexed citations

7.

Pigeot, Iris, Fabian Sobotka, Svend Kreiner, & Ronja Foraita. (2015). The uncertainty of a selected graphical model. Journal of Applied Statistics. 42(11). 2335–2352. 6 indexed citations

8.

Sobotka, Fabian, et al.. (2014). Expectile and quantile regression—David and Goliath?. Statistical Modelling. 15(5). 433–456. 87 indexed citations

9.

Sobotka, Fabian, Rosalba Radice, Giampiero Marra, & Thomas Kneib. (2012). Estimating the Relationship Between Women's Education and Fertility in Botswana by Using an Instrumental Variable Approach to Semiparametric Expectile Regression. Journal of the Royal Statistical Society Series C (Applied Statistics). 62(1). 25–45. 19 indexed citations

10.

Sobotka, Fabian, et al.. (2011). On confidence intervals for semiparametric expectile regression. Statistics and Computing. 23(2). 135–148. 40 indexed citations

11.

Sobotka, Fabian & Thomas Kneib. (2010). Geoadditive expectile regression. Computational Statistics & Data Analysis. 56(4). 755–767. 92 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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