Alexey Karpov
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Heysem KayaTanja SchultzEtienne BarnardLaurent BesacierElena RyuminaAndrey RonzhinDmitry RyuminIrina Kipyatkova
- Topics
- Speech Recognition and Synthesis (34 papers)Speech and Audio Processing (23 papers)Emotion and Mood Recognition (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Alexey Karpov
104 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 638
- Signal Processing 479
- Experimental and Cognitive Psychology 317
- Computer Vision and Pattern Recognition 213
- Human-Computer Interaction 160
Countries citing papers authored by Alexey Karpov
This map shows the geographic impact of Alexey Karpov'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 Alexey Karpov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Karpov more than expected).
Fields of papers citing papers by Alexey Karpov
This network shows the impact of papers produced by Alexey Karpov. 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 Alexey Karpov. The network helps show where Alexey Karpov may publish in the future.
Co-authorship network of co-authors of Alexey Karpov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Karpov. A scholar is included among the top collaborators of Alexey Karpov 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 Alexey Karpov. Alexey Karpov 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 | 3 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | A Bimodal Approach for Speech Emotion Recognition using Audio and Text. | 7 |
| 14 | 10 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | BILINGUAL MULTIMODAL SYSTEM FOR TEXT-TO-AUDIOVISUAL SPEECH AND SIGN LANGUAGE SYNTHESIS | 1 |
| 19 | Modeling of Pronunciation, Language and Nonverbal Units at Conversational Russian Speech Recognition. | 4 |
| 20 | Smart multimodal assistant for disabled | 1 |
About Alexey Karpov
Alexey Karpov is a scholar working on Human-Computer Interaction, Signal Processing and Experimental and Cognitive Psychology, having authored 126 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (34 papers), Speech and Audio Processing (23 papers) and Emotion and Mood Recognition (23 papers). The work is most often cited by research in Signal Processing (479 citations), Human-Computer Interaction (160 citations) and Experimental and Cognitive Psychology (317 citations). Alexey Karpov has collaborated with scholars based in Russia, Czechia and Türkiye. Frequent co-authors include Heysem Kaya, Tanja Schultz, Etienne Barnard, Laurent Besacier, Elena Ryumina, Andrey Ronzhin, Dmitry Ryumin, Irina Kipyatkova, Denis Ivanko and Albert Ali Salah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.