Papers

4

Total Citations

13

H-Index

2

About

V.A. Khakulov is a mining engineering researcher whose work centers on the robotization and intelligent automation of open pit mining operations. His research addresses one of the industry's most pressing challenges: maintaining profitability and competitiveness in extractive enterprises as ore quality declines and operational costs rise. Khakulov has made notable contributions to the conceptual and algorithmic foundations of robotic mining excavators, exploring how autonomous systems can manage the selective extraction of rock masses with varying structural and strength properties — a problem made difficult by the unpredictable spatial variability found in natural deposits. His most cited work, "Open Pit Mining Robotization" (2017, 5 citations), established a framework for understanding how robotization of blasting, loading, and transportation processes can increase equipment efficiency at scale. Subsequent papers refined these ideas, including a justification of the robotic excavator concept (2017, 4 citations) and investigations into optimizing coordinated workflows between excavators and dump trucks in adjacent faces. Collectively accumulating 13 citations, Khakulov's body of work positions him as an emerging voice in intelligent mining systems, offering practical pathways toward smarter, more resource-efficient extraction technologies.

Research Focus

Key Achievements

2
H-Index
4
Papers
13
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Open pit mining robotization
5 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Kabardino-Balkarian State University, Kabardino-Balkarski Nature Reserve

Top Papers

  1. 1
    Open pit mining robotization
    5 citations · 2017
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
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