Alexey Kashevnik
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 23
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- Sleep and Work-Related Fatigue 20
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- Context-Aware Activity Recognition Systems 26
- Transportation top 5%
- Human-Computer Interaction top 5%
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- IoT and Edge/Fog Computing 15
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- Human-Automation Interaction and Safety 14
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- Robotics and Automated Systems 12
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- Digital Marketing and Social Media 12
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- Semantic Web and Ontologies 12
Alexey Kashevnik
136 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Automotive Engineering 233
- Experimental and Cognitive Psychology 157
- Computer Vision and Pattern Recognition 229
- Transportation 75
- Human-Computer Interaction 57
Countries citing papers authored by Alexey Kashevnik
This map shows the geographic impact of Alexey Kashevnik'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 Kashevnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Kashevnik more than expected).
Fields of papers citing papers by Alexey Kashevnik
This network shows the impact of papers produced by Alexey Kashevnik. 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 Kashevnik. The network helps show where Alexey Kashevnik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexey Kashevnik, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | Socio-Cyberphysical System Resource Semantic Interoperability: General Scenarios and Ontology | 2018 | 0 |
| 11 | Decision Support System for Drivers and Passengers: Smartphone-Based Reference Model and Evaluation | 2018 | 1 |
| 12 | An Ontology for Service Semantic Interoperability in the Smartphone-Based Tourist Trip Planning System | 2018 | 0 |
| 13 | Web-Based Competency Management System for Technopark of ITMO University | 2016 | 1 |
| 14 | Crowdsourcing-Based Multi-Layer Automated Ontology Matching: An approach and Case Study | 2015 | 0 |
| 15 | 2015 | 4 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 0 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 4 | |
| 20 | Knowledge sharing in flexible supply networks: a context-based approach | 2010 | 1 |
About Alexey Kashevnik
Alexey Kashevnik is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 158 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (26 papers), Autonomous Vehicle Technology and Safety (23 papers), Sleep and Work-Related Fatigue (20 papers), IoT and Edge/Fog Computing (15 papers), Human-Automation Interaction and Safety (14 papers), Robotics and Automated Systems (12 papers), Digital Marketing and Social Media (12 papers) and Semantic Web and Ontologies (12 papers). The work is most often cited by research in Automotive Engineering (233 citations), Experimental and Cognitive Psychology (157 citations) and Computer Vision and Pattern Recognition (229 citations). Alexey Kashevnik has collaborated with scholars based in Russia, United States and Finland. Frequent co-authors include Nikolay Shilov, Igor Lashkov, Alexander Smirnov, Andrew Ponomarev, Andrei Gurtov, Nikolay Teslya, Alexander Stocker, Christian Kaiser, Sergey Balandin and Alexander Smirnov.
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.