Igor Lashkov

527 total citations
27 papers, 321 citations indexed

About

Igor Lashkov is a scholar working on Automotive Engineering, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Igor Lashkov has authored 27 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 9 papers in Social Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Igor Lashkov's work include Autonomous Vehicle Technology and Safety (18 papers), Human-Automation Interaction and Safety (9 papers) and Sleep and Work-Related Fatigue (7 papers). Igor Lashkov is often cited by papers focused on Autonomous Vehicle Technology and Safety (18 papers), Human-Automation Interaction and Safety (9 papers) and Sleep and Work-Related Fatigue (7 papers). Igor Lashkov collaborates with scholars based in Russia, United States and Sweden. Igor Lashkov's co-authors include Alexey Kashevnik, Andrei Gurtov, Nikolay Teslya, Andrew Ponomarev, Guohui Zhang, Nikolay Shilov, Alexander Smirnov, Denis Ivanko, Alexey Karpov and Dmitry Ryumin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Igor Lashkov

27 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Igor Lashkov Russia 9 136 70 68 63 48 27 321
Mohammad Shahverdy Iran 4 136 1.0× 43 0.6× 75 1.1× 42 0.7× 62 1.3× 9 296
Duy Tran United States 8 168 1.2× 57 0.8× 83 1.2× 84 1.3× 57 1.2× 12 310
Haiwei Wang China 9 127 0.9× 94 1.3× 56 0.8× 49 0.8× 41 0.9× 17 283
Amardeep Sathyanarayana United States 11 255 1.9× 61 0.9× 89 1.3× 128 2.0× 93 1.9× 20 426
Eloy Irigoyen Spain 13 114 0.8× 50 0.7× 28 0.4× 85 1.3× 33 0.7× 35 480
Yugang Liu China 11 102 0.8× 62 0.9× 38 0.6× 57 0.9× 87 1.8× 52 446
Yehya Abouelnaga Egypt 3 99 0.7× 50 0.7× 110 1.6× 74 1.2× 33 0.7× 3 280
Haohan Yang Singapore 12 246 1.8× 47 0.7× 83 1.2× 110 1.7× 25 0.5× 26 505
Byungtae Jang South Korea 10 42 0.3× 59 0.8× 42 0.6× 37 0.6× 25 0.5× 41 425

Countries citing papers authored by Igor Lashkov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Igor Lashkov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Lashkov. A scholar is included among the top collaborators of Igor Lashkov 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 Igor Lashkov. Igor Lashkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Shanglian, Igor Lashkov, Cong Chen, et al.. (2025). Deep learning-based vehicle detection and tracking from roadside LiDAR data through robust affinity fusion. Expert Systems with Applications. 279. 127338–127338. 2 indexed citations
2.
Lashkov, Igor, et al.. (2024). Machine learning-based vehicle detection and tracking based on headlight extraction and GMM clustering under low illumination conditions. Expert Systems with Applications. 267. 126240–126240. 3 indexed citations
3.
Zhou, Shanglian, Igor Lashkov, Hao Xu, Guohui Zhang, & Yin Yang. (2024). Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through Bayesian Optimization. IEEE Transactions on Intelligent Transportation Systems. 26(3). 2988–3003. 3 indexed citations
4.
Lashkov, Igor, et al.. (2023). Edge-Computing-Facilitated Nighttime Vehicle Detection Investigations With CLAHE-Enhanced Images. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13370–13383. 21 indexed citations
5.
Lashkov, Igor, et al.. (2023). Edge-Computing-Empowered Vehicle Tracking and Speed Estimation Against Strong Image Vibrations Using Surveillance Monocular Camera. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13486–13502. 9 indexed citations
6.
Ivanko, Denis, et al.. (2022). MIDriveSafely: Multimodal Interaction for Drive Safely. 733–735. 5 indexed citations
7.
Kashevnik, Alexey, et al.. (2021). Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin. IEEE Access. 9. 34986–35003. 16 indexed citations
8.
Lashkov, Igor. (2021). Determination of dangerous driving behavior based on the use of information from wearable electronic devices. SHILAP Revista de lepidopterología. 21(4). 515–524. 2 indexed citations
9.
Kashevnik, Alexey, et al.. (2020). Seat Belt Fastness Detection Based on Image Analysis from Vehicle In-abin Camera. SHILAP Revista de lepidopterología. 143–150. 24 indexed citations
10.
11.
Kashevnik, Alexey, Igor Lashkov, & Nikolay Teslya. (2019). Driver Intelligent Support System in Internet of Transportation Things: Smartphone-Based Approach. 170–175. 4 indexed citations
12.
Kashevnik, Alexey & Igor Lashkov. (2018). Decision Support System for Drivers and Passengers: Smartphone-Based Reference Model and Evaluation. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Kashevnik, Alexey & Igor Lashkov. (2018). Decision Support System for Drivers & Passengers: Smartphone-Based Reference Model and Evaluation. 166–171. 3 indexed citations
14.
Lashkov, Igor. (2018). SMARTPHONE-BASED APPROACH TO DETERMINING DRIVING STYLE WITH ON-BOARD SENSORS. Information and Control Systems. 2–12. 1 indexed citations
15.
Kashevnik, Alexey, A. M. Fedotov, & Igor Lashkov. (2018). Dangerous Situation Prediction and Driving Statistics Accumulation Using Smartphone. 521–527. 4 indexed citations
16.
Lashkov, Igor, et al.. (2018). Web-Service for Drive Safely System User Analysis: Architecture and Implementation. SHILAP Revista de lepidopterología. 40–47. 3 indexed citations
17.
Hashimoto, Naohisa, Takashi Okuma, Kohji Tomita, et al.. (2016). Use cases for rider assistant mobile application evaluation using travelling simulator. SHILAP Revista de lepidopterología. 47–53. 1 indexed citations
18.
Smirnov, Alexander, et al.. (2016). Smartphone-based identification of dangerous driving situations: Algorithms and implementation. SHILAP Revista de lepidopterología. 10 indexed citations
19.
Smirnov, Alexander, et al.. (2015). Smartphone-based two-wheeled self-balancing vehicles rider assistant. SHILAP Revista de lepidopterología. 201–209. 13 indexed citations
20.
Hashimoto, Naohisa, Kohji Tomita, Osamu Matsumoto, et al.. (2015). Operational Evaluation of New Transportation Method for Smart City -Use of Personal Mobility Vehicles under Three Different Scinarios-. 1–6. 2 indexed citations

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.

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