Dmitri Dolgov

3.0k citations
30 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

Dmitri Dolgov

28 papers receiving 1.2k citations

Dmitri Dolgov's Hit Papers

Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments 2010 · 675 citations
6750+5+10Years since publication200400600

Peers

Dmitri Dolgov
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 726
  • Automotive Engineering 384
  • Control and Systems Engineering 352
  • Aerospace Engineering 341
  • Nuclear and High Energy Physics 122
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Countries citing papers authored by Dmitri Dolgov

Since Specialization
Citations

This map shows the geographic impact of Dmitri Dolgov'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 Dmitri Dolgov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Dolgov more than expected).

Fields of papers citing papers by Dmitri Dolgov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitri Dolgov. 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 Dmitri Dolgov. The network helps show where Dmitri Dolgov may publish in the future.

Co-authors

The 25 scholars most cited alongside Dmitri Dolgov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitri Dolgov Line = papers co-authored together Dmitri Dolgov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments
Hit paper breakdown →
2010675
2 2002110
3 200882
4 200980
5 200948
6
Stationary deterministic policies for constrained MDPs with multiple rewards, costs, and discount factors
200534
7
Coordinated Plan Management Using Multiagent MDPs
200631
8
Optimal resource allocation and policy formulation in loosely-coupled Markov decision processes
200428
9 200627
10 200419
11 200816
12
Approximating optimal policies for agents with limited execution resources
200314
13 20078
14 20038
15 20058
16 20007
17
Symmetric primal-dual approximate linear programming for factored MDPs
20066
18
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes.
20045
19 19995
20 20065

About Dmitri Dolgov

Dmitri Dolgov is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Robotic Path Planning Algorithms (6 papers), Optimization and Search Problems (6 papers), Auction Theory and Applications (5 papers), AI-based Problem Solving and Planning (5 papers), Robotics and Sensor-Based Localization (5 papers), Quantum Chromodynamics and Particle Interactions (4 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (726 citations), Automotive Engineering (384 citations), Control and Systems Engineering (352 citations), Aerospace Engineering (341 citations) and Nuclear and High Energy Physics (122 citations). Dmitri Dolgov has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sebastian Thrun, James Diebel, Michael Montemerlo, Edmund H. Durfee, A.Y. Ng, Pieter Abbeel, Rainer Kümmerle, Dirk Hähnel, Wolfram Burgard and John Negele. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Intelligent Systems, The International Journal of Robotics Research, Annals of Mathematics and Artificial Intelligence and Adaptive Agents and Multi-Agents Systems.

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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