Bogdan Vlasenko
- Experimental and Cognitive Psychology top 2%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Co-authors
- Andreas WendemuthBjörn W. SchullerGerhard RigollFlorian EybenMartin WöllmerAndré StuhlsatzRonald BöckMathew Magimai.-Doss
- Topics
- Emotion and Mood Recognition (28 papers)Speech Recognition and Synthesis (18 papers)Speech and Audio Processing (15 papers)
- Journals
- IEEE Transactions on Affective ComputingComputer Speech & LanguageJournal on Multimodal User Interfaces
- Partner nations
- GermanySwitzerlandRussia
In The Last Decade
Bogdan Vlasenko
39 papers receiving 800 citations
Peers
Comparison fields: 5 of 55
- Experimental and Cognitive Psychology 675
- Signal Processing 498
- Artificial Intelligence 453
- Computer Vision and Pattern Recognition 153
- Social Psychology 131
Countries citing papers authored by Bogdan Vlasenko
This map shows the geographic impact of Bogdan Vlasenko'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 Bogdan Vlasenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Vlasenko more than expected).
Fields of papers citing papers by Bogdan Vlasenko
This network shows the impact of papers produced by Bogdan Vlasenko. 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 Bogdan Vlasenko. The network helps show where Bogdan Vlasenko may publish in the future.
Co-authorship network of co-authors of Bogdan Vlasenko
This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Vlasenko. A scholar is included among the top collaborators of Bogdan Vlasenko 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 Bogdan Vlasenko. Bogdan Vlasenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 33 | |
| 10 | 292 | |
| 11 | 15 | |
| 12 | 196 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Bogdan Vlasenko
Bogdan Vlasenko is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Artificial Intelligence, having authored 49 papers that have together received 870 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (28 papers), Speech Recognition and Synthesis (18 papers) and Speech and Audio Processing (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (675 citations), Signal Processing (498 citations) and Artificial Intelligence (453 citations). Bogdan Vlasenko has collaborated with scholars based in Germany, Switzerland and Russia. Frequent co-authors include Andreas Wendemuth, Björn W. Schuller, Gerhard Rigoll, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Ronald Böck, Mathew Magimai.-Doss, Ingo Siegert and Hesam Sagha. Their work appears in journals such as IEEE Transactions on Affective Computing, Computer Speech & Language and Journal on Multimodal User Interfaces.
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.