B. S. Darkhovsky
- Cognitive Neuroscience top 5%
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 1%
- Signal Processing top 5%
- Co-authors
- Boris BrodskyAlexander KaplanAlexander A. FingelkurtsСергей БорисовAndrew A. FingelkurtsAlexandra PiryatinskaJ. RöschkeJürgen Fell
- Topics
- Advanced Statistical Process Monitoring (12 papers)Statistical Methods and Inference (8 papers)EEG and Brain-Computer Interfaces (8 papers)
- Journals
- Signal ProcessingInternational Journal of PsychophysiologyComputer Methods and Programs in Biomedicine
- Partner nations
- RussiaUnited StatesGermany
In The Last Decade
B. S. Darkhovsky
31 papers receiving 951 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 448
- Statistics and Probability 243
- Artificial Intelligence 194
- Statistics, Probability and Uncertainty 174
- Signal Processing 151
Countries citing papers authored by B. S. Darkhovsky
This map shows the geographic impact of B. S. Darkhovsky'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 B. S. Darkhovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. S. Darkhovsky more than expected).
Fields of papers citing papers by B. S. Darkhovsky
This network shows the impact of papers produced by B. S. Darkhovsky. 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 B. S. Darkhovsky. The network helps show where B. S. Darkhovsky may publish in the future.
Co-authorship network of co-authors of B. S. Darkhovsky
This figure shows the co-authorship network connecting the top 25 collaborators of B. S. Darkhovsky. A scholar is included among the top collaborators of B. S. Darkhovsky 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 B. S. Darkhovsky. B. S. Darkhovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 54 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 46 | |
| 16 | 56 | |
| 17 | 81 | |
| 18 | 42 | |
| 19 | 5 | |
| 20 | 406 |
About B. S. Darkhovsky
B. S. Darkhovsky is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Signal Processing, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (12 papers), Statistical Methods and Inference (8 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Statistics and Probability (243 citations), Statistics, Probability and Uncertainty (174 citations) and Cognitive Neuroscience (448 citations). B. S. Darkhovsky has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Boris Brodsky, Alexander Kaplan, Alexander A. Fingelkurts, Сергей Борисов, Andrew A. Fingelkurts, Alexandra Piryatinska, J. Röschke, Jürgen Fell, Sergei L. Shishkin and Juergen Fell. Their work appears in journals such as Signal Processing, International Journal of Psychophysiology and Computer Methods and Programs in Biomedicine.
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.