Papers

10

Total Citations

62

H-Index

5

About

Dr. Anna Klimenko is a leading researcher in dependable, decentralized robotic systems, with a focus on fault tolerance, swarm intelligence, and fog/edge robotics. Her work addresses critical challenges in autonomous robot groups, particularly in ensuring reliable operation and efficient recovery under real-world constraints. Her most cited paper, “A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy” (2016, 14 citations), establishes foundational methods for system resilience. She has pioneered the integration of blockchain and distributed ledger technologies for swarm decision-making and workload logging, as seen in her highly cited 2019 paper on blockchain-based distributed decision-making (9 citations). Dr. Klimenko’s contributions extend to enhancing dependability through reconfigurable control (2017, 9 citations) and leveraging fog-computing for reliability in robot swarms (2019, 6 citations). Her recent work on resource-saving task distribution for fog robotics (2022) and mission assignment for heterogeneous aerial rescue robots (2024) demonstrates a sustained focus on practical, scalable solutions. With a cumulative citation count exceeding 60, Dr. Klimenko’s research is shaping the future of robust, autonomous multi-robot systems in distributed and resource-constrained environments.

Research Focus

Key Achievements

5
H-Index
10
Papers
62
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy
14 citations · 2016
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Southern Federal University, Russian State University for the Humanities

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago