Aleksandr I. Panov
-
- Robotic Path Planning Algorithms 16
- Multimodal Machine Learning Applications 9
- Advanced Image and Video Retrieval Techniques 5
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 13
- AI-based Problem Solving and Planning 9
- Artificial Intelligence in Games 8
- Evolutionary Algorithms and Applications 4
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 10
- Co-authors
- Konstantin YakovlevRoman SuvorovDmitry YudinD. A. MakarovS. V. Emel'YanovSemen BudennyyMaria V. NesterovaEvgeny Osipov
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceDiscrete Mathematics and Combinatorics
- Journals
- IEEE Access (6 papers)Cognitive Systems Research (4 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- RussiaCanadaUnited States
In The Last Decade
Aleksandr I. Panov
48 papers receiving 415 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 241
- Artificial Intelligence 163
- Discrete Mathematics and Combinatorics 14
- Automotive Engineering 52
- Aerospace Engineering 102
Countries citing papers authored by Aleksandr I. Panov
This map shows the geographic impact of Aleksandr I. Panov'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 Aleksandr I. Panov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandr I. Panov more than expected).
Fields of papers citing papers by Aleksandr I. Panov
This network shows the impact of papers produced by Aleksandr I. Panov. 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 Aleksandr I. Panov. The network helps show where Aleksandr I. Panov may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Aleksandr I. Panov, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 13 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 13 |
About Aleksandr I. Panov
Aleksandr I. Panov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Discrete Mathematics and Combinatorics, having authored 63 papers that have together received 434 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (16 papers), Reinforcement Learning in Robotics (13 papers), Robotics and Sensor-Based Localization (10 papers), AI-based Problem Solving and Planning (9 papers), Multimodal Machine Learning Applications (9 papers), Artificial Intelligence in Games (8 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Artificial Intelligence (163 citations), Discrete Mathematics and Combinatorics (14 citations), Automotive Engineering (52 citations) and Aerospace Engineering (102 citations). Aleksandr I. Panov has collaborated with scholars based in Russia, Canada and United States. Frequent co-authors include Konstantin Yakovlev, Roman Suvorov, Dmitry Yudin, D. A. Makarov, S. V. Emel'Yanov, Semen Budennyy, Maria V. Nesterova, Evgeny Osipov, V.V. Kuznetsov and А. Yu. Lupatov. Their work appears in journals such as IEEE Access, Cognitive Systems Research, Engineering Applications of Artificial Intelligence, IEEE Robotics and Automation Letters and Robotics.
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.