Aleksandr I. Panov

1.1k total citations
63 papers, 434 citations indexed

About

Aleksandr I. Panov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Aleksandr I. Panov has authored 63 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 10 papers in Control and Systems Engineering. Recurrent topics in Aleksandr I. Panov's work include Robotic Path Planning Algorithms (16 papers), Reinforcement Learning in Robotics (13 papers) and Robotics and Sensor-Based Localization (10 papers). Aleksandr I. Panov is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), Reinforcement Learning in Robotics (13 papers) and Robotics and Sensor-Based Localization (10 papers). Aleksandr I. Panov collaborates with scholars based in Russia, Canada and United States. Aleksandr I. Panov's co-authors include Konstantin Yakovlev, Roman Suvorov, Dmitry Yudin, S. V. Emel'Yanov, D. A. Makarov, Evgeny Osipov, V.V. Kuznetsov, Maria V. Nesterova, Semen Budennyy and Yan Kim and has published in prestigious journals such as IEEE Access, Artificial Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Aleksandr I. Panov

48 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksandr I. Panov Russia	11	241	163	102	77	52	63	434
Said Benhlima Morocco	6	279 1.2×	102 0.6×	104 1.0×	106 1.4×	23 0.4×	18	376
Alexander Ferrein Germany	12	118 0.5×	204 1.3×	61 0.6×	121 1.6×	33 0.6×	57	464
Beomjoon Kim South Korea	14	218 0.9×	191 1.2×	47 0.5×	141 1.8×	41 0.8×	32	435
Dong‐Hyun Lee South Korea	11	171 0.7×	124 0.8×	76 0.7×	44 0.6×	30 0.6×	59	447
Uwe Handmann Germany	11	284 1.2×	85 0.5×	37 0.4×	46 0.6×	121 2.3×	49	511
Yi‐Ting Chen Taiwan	10	159 0.7×	92 0.6×	85 0.8×	75 1.0×	96 1.8×	40	435
B. Browning United States	11	162 0.7×	204 1.3×	64 0.6×	102 1.3×	45 0.9×	15	524
Chris Scrapper United States	7	143 0.6×	67 0.4×	107 1.0×	130 1.7×	37 0.7×	19	370
Mike Phillips United States	10	398 1.7×	128 0.8×	174 1.7×	171 2.2×	54 1.0×	39	552

Countries citing papers authored by Aleksandr I. Panov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Aleksandr I. Panov

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

All Works

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20 of 20 papers shown

Panov, Aleksandr I., et al.. (2025). VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots. 18489–18496.

Panov, Aleksandr I., et al.. (2025). LERa: Replanning with Visual Feedback in Instruction Following. 19218–19225.

Ivanova, Anastasia, et al.. (2025). AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment. 33216–33241. 1 indexed citations

Panov, Aleksandr I., et al.. (2025). CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World. 26131–26151.

Yakovlev, Konstantin, et al.. (2025). Polygon decomposition for obstacle representation in motion planning with Model Predictive Control. Engineering Applications of Artificial Intelligence. 153. 110690–110690. 1 indexed citations

Panov, Aleksandr I., et al.. (2024). Hebbian spatial encoder with adaptive sparse connectivity. Cognitive Systems Research. 88. 101277–101277.

Yudin, Dmitry, et al.. (2024). STRL Robotics: Intelligent Control for Robotic Platform in Human-Oriented Environment. Scientific and Technical Information Processing. 51(5). 437–451. 1 indexed citations

Panov, Aleksandr I., et al.. (2024). FFStreams: Fast Search With Streams for Autonomous Maneuver Planning. IEEE Robotics and Automation Letters. 9(7). 6752–6759.

Panov, Aleksandr I., et al.. (2024). Neural Potential Field for Obstacle-Aware Local Motion Planning. 9313–9320. 3 indexed citations

10.

Kirilenko, Demid A., et al.. (2024). Generative models for grid-based and image-based pathfinding. Artificial Intelligence. 338. 104238–104238.

11.

Panov, Aleksandr I., et al.. (2024). Sign-based image criteria for social interaction visual question answering. Logic Journal of IGPL. 32(4). 656–670.

12.

Yudin, Dmitry, et al.. (2023). Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. Engineering Applications of Artificial Intelligence. 128. 107542–107542. 17 indexed citations

13.

Yakovlev, Konstantin, et al.. (2023). When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17411–17424. 9 indexed citations

14.

Kirilenko, Demid A., et al.. (2023). TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 12436–12443. 4 indexed citations

15.

Panov, Aleksandr I., et al.. (2023). Pattern-Recognition Tools and Their Applications. Pattern Recognition and Image Analysis. 33(1). 28–38. 1 indexed citations

16.

Yakovlev, Konstantin, et al.. (2023). Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation. Robotics. 12(4). 104–104. 5 indexed citations

17.

Yakovlev, Konstantin, et al.. (2022). Pathfinding in stochastic environments: learning vs planning. PeerJ Computer Science. 8. e1056–e1056. 4 indexed citations

18.

Panov, Aleksandr I., et al.. (2022). Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles. IEEE Robotics and Automation Letters. 8(2). 824–831. 10 indexed citations

19.

Panov, Aleksandr I., et al.. (2022). Application of Pretrained Large Language Models in Embodied Artificial Intelligence. Doklady Mathematics. 106(S1). S85–S90. 13 indexed citations

20.

Yakovlev, Konstantin, et al.. (2021). Hybrid Policy Learning for Multi-Agent Pathfinding. IEEE Access. 9. 126034–126047. 13 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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