Lothar Sroka
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 2
- Neural and Behavioral Psychology Studies 1
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- Advanced Statistical Methods and Models 3
- Co-authors
- Théo Gasser (7 shared papers)Christine Jennen-Steinmetz (4 shared papers)Rolf Verleger (2 shared papers)Joachim Möcks (3 shared papers)Petra Bächer (1 shared paper)W Köhler (1 shared paper)Dinh Tuan Pham (1 shared paper)
In The Last Decade
Lothar Sroka
8 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Statistics and Probability 246
- Cognitive Neuroscience 529
- Psychiatry and Mental health 131
- Statistics, Probability and Uncertainty 48
- Computational Mathematics 4
Countries citing papers authored by Lothar Sroka
This map shows the geographic impact of Lothar Sroka'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 Lothar Sroka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lothar Sroka more than expected).
Fields of papers citing papers by Lothar Sroka
This network shows the impact of papers produced by Lothar Sroka. 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 Lothar Sroka. The network helps show where Lothar Sroka may publish in the future.
Co-authors
The 7 scholars most cited alongside Lothar Sroka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 361 | |
| 2 | 1988 | 339 | |
| 3 | 1988 | 149 | |
| 4 | 1985 | 148 | |
| 5 | 1986 | 75 | |
| 6 | 1986 | 18 | |
| 7 | 1986 | 13 | |
| 8 | 1989 | 10 |
About Lothar Sroka
Lothar Sroka is a scholar working on Cognitive Neuroscience, Statistics and Probability, Management Science and Operations Research, Cardiology and Cardiovascular Medicine and Mathematical Physics, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Advanced Statistical Methods and Models (3 papers), Neural dynamics and brain function (2 papers), Regional Economic and Spatial Analysis (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Neural and Behavioral Psychology Studies (1 paper), Statistical and numerical algorithms (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Statistics and Probability (246 citations), Cognitive Neuroscience (529 citations), Psychiatry and Mental health (131 citations), Statistics, Probability and Uncertainty (48 citations) and Computational Mathematics (4 citations). Lothar Sroka has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Théo Gasser, Christine Jennen-Steinmetz, Rolf Verleger, Joachim Möcks, Petra Bächer, W Köhler and Dinh Tuan Pham. Their work appears in journals such as Electroencephalography and Clinical Neurophysiology, Biometrika, IEEE Transactions on Biomedical Engineering, Annals of the Institute of Statistical Mathematics and Psychophysiology.
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.