Igor Lashkov
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Sleep and Work-Related Fatigue
Papers in ⓘ
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- Autonomous Vehicle Technology and Safety 18
- Vehicle emissions and performance 2
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- Human-Automation Interaction and Safety 9
- Co-authors
- Alexey Kashevnik (18 shared papers)Andrei Gurtov (2 shared papers)Nikolay Teslya (3 shared papers)Andrew Ponomarev (1 shared paper)Guohui Zhang (6 shared papers)Nikolay Shilov (3 shared papers)Alexander Smirnov (2 shared papers)Dmitry Ryumin (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (4 papers)Expert Systems with Applications (2 papers)Future Internet (1 paper)IEEE Sensors Journal (1 paper)IEEE Access (1 paper)
- Partner nations
- RussiaUnited StatesSweden
In The Last Decade
Igor Lashkov
27 papers receiving 307 citations
Peers
Comparison fields: 5 of 60
- Automotive Engineering 136
- Experimental and Cognitive Psychology 70
- Safety, Risk, Reliability and Quality 48
- Human-Computer Interaction 21
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Igor Lashkov
This map shows the geographic impact of Igor Lashkov'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 Igor Lashkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Lashkov more than expected).
Fields of papers citing papers by Igor Lashkov
This network shows the impact of papers produced by Igor Lashkov. 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 Igor Lashkov. The network helps show where Igor Lashkov may publish in the future.
Co-authors
The 20 scholars most cited alongside Igor Lashkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 99 | |
| 2 | 2020 | 63 | |
| 3 | 2020 | 24 | |
| 4 | 2023 | 21 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2015 | 13 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2017 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Igor Lashkov
Igor Lashkov is a scholar working on Automotive Engineering, Social Psychology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Safety, Risk, Reliability and Quality, having authored 27 papers that have together received 321 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (18 papers), Human-Automation Interaction and Safety (9 papers), Video Surveillance and Tracking Methods (7 papers), Sleep and Work-Related Fatigue (7 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Traffic and Road Safety (3 papers), Image Enhancement Techniques (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Automotive Engineering (136 citations), Experimental and Cognitive Psychology (70 citations), Safety, Risk, Reliability and Quality (48 citations), Human-Computer Interaction (21 citations) and Computer Vision and Pattern Recognition (68 citations). Igor Lashkov has collaborated with scholars based in Russia, United States and Sweden. Frequent co-authors include Alexey Kashevnik, Andrei Gurtov, Nikolay Teslya, Andrew Ponomarev, Guohui Zhang, Nikolay Shilov, Alexander Smirnov, Dmitry Ryumin, Naohisa Hashimoto and Alexey Karpov. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Expert Systems with Applications, Future Internet, IEEE Sensors Journal 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.