Dmitri Dolgov

3.0k total citations · 1 hit paper
30 papers, 1.2k citations indexed

About

Dmitri Dolgov is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Dmitri Dolgov has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Management Science and Operations Research. Recurrent topics in Dmitri Dolgov's work include Reinforcement Learning in Robotics (12 papers), Optimization and Search Problems (6 papers) and Robotic Path Planning Algorithms (6 papers). Dmitri Dolgov is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Optimization and Search Problems (6 papers) and Robotic Path Planning Algorithms (6 papers). Dmitri Dolgov collaborates with scholars based in United States, Switzerland and Germany. Dmitri Dolgov's co-authors include Sebastian Thrun, Michael Montemerlo, James Diebel, Edmund H. Durfee, Pieter Abbeel, A.Y. Ng, Rainer Kümmerle, Dirk Hähnel, Wolfram Burgard and John Negele and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Intelligent Systems and Journal of Artificial Intelligence Research.

In The Last Decade

Dmitri Dolgov

28 papers receiving 1.1k citations

Hit Papers

Path Planning for Autonomous Vehicles in Unknown Semi-str... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitri Dolgov United States 12 719 380 349 338 205 30 1.2k
Aleksandra Faust United States 17 440 0.6× 81 0.2× 316 0.9× 299 0.9× 359 1.8× 44 992
Takuya Azumi Japan 16 299 0.4× 261 0.7× 246 0.7× 135 0.4× 174 0.8× 94 1.2k
Lutz Gröll Germany 14 366 0.5× 423 1.1× 351 1.0× 55 0.2× 224 1.1× 72 985
Rahul Kala India 18 739 1.0× 241 0.6× 294 0.8× 293 0.9× 343 1.7× 117 1.2k
Anssi Kanervisto Finland 7 190 0.3× 112 0.3× 218 0.6× 76 0.2× 349 1.7× 9 869
Keith Redmill United States 22 565 0.8× 1.0k 2.7× 807 2.3× 140 0.4× 194 0.9× 89 1.8k
Zoran Miljković Serbia 19 278 0.4× 99 0.3× 217 0.6× 108 0.3× 329 1.6× 51 1.2k
Erjen Lefeber Netherlands 20 402 0.6× 171 0.5× 1.3k 3.6× 162 0.5× 39 0.2× 71 1.7k
Ashley Hill France 4 121 0.2× 100 0.3× 221 0.6× 82 0.2× 281 1.4× 7 759
Nazım Kemal Üre Türkiye 17 268 0.4× 185 0.5× 385 1.1× 417 1.2× 199 1.0× 70 1.0k

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-authorship network of co-authors of Dmitri Dolgov

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

All Works

20 of 20 papers shown
1.
Dolgov, Dmitri. (2018). Moments of Structure Functions in Full QCD. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
2.
Hendler, James, Philipp Cimiano, Dmitri Dolgov, et al.. (2008). AI's 10 to Watch. IEEE Intelligent Systems. 23(3). 9–19. 2 indexed citations
3.
Dolgov, Dmitri & Sebastian Thrun. (2008). Detection of Principle Directions in Unknown Environments for Autonomous Navigation. 16 indexed citations
4.
James, M. R., et al.. (2007). Improving anytime point-based value iteration using principled point selections. International Joint Conference on Artificial Intelligence. 865–870. 1 indexed citations
5.
Dolgov, Dmitri & Edmund H. Durfee. (2007). Symmetric approximate linear programming for factored MDPs with application to constrained problems. Annals of Mathematics and Artificial Intelligence. 47(3-4). 273–293. 7 indexed citations
6.
Dolgov, Dmitri, et al.. (2007). Combinatorial resource scheduling for multiagent MDPs. 1–8. 3 indexed citations
7.
Musliner, David J., et al.. (2006). Coordinated Plan Management Using Multiagent MDPs. National Conference on Artificial Intelligence. 73–80. 31 indexed citations
8.
Dolgov, Dmitri & Edmund H. Durfee. (2006). Symmetric primal-dual approximate linear programming for factored MDPs. 6 indexed citations
9.
Dolgov, Dmitri. (2006). Integrated Resource Allocation and Planning in Stochastic Multiagent Environments. Deep Blue (University of Michigan).
10.
Dolgov, Dmitri & Edmund H. Durfee. (2006). Resource allocation among agents with preferences induced by factored MDPs. 297–304. 5 indexed citations
11.
Dolgov, Dmitri & Edmund H. Durfee. (2006). Resource Allocation Among Agents with MDP-Induced Preferences. Journal of Artificial Intelligence Research. 27. 505–549. 27 indexed citations
12.
Dolgov, Dmitri & Edmund H. Durfee. (2005). Stationary deterministic policies for constrained MDPs with multiple rewards, costs, and discount factors. International Joint Conference on Artificial Intelligence. 1326–1331. 34 indexed citations
13.
Dolgov, Dmitri & Edmund H. Durfee. (2005). Towards exploiting duality in approximate linear programming for MDPs. National Conference on Artificial Intelligence. 35(10). 1606–1607. 1 indexed citations
14.
Dolgov, Dmitri, et al.. (2005). EFFICIENT LINEAR APPROXIMATIONS TO STOCHASTIC VEHICULAR COLLISION-AVOIDANCE PROBLEMS. 275–278. 2 indexed citations
15.
Dolgov, Dmitri & Edmund H. Durfee. (2004). Graphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes. Adaptive Agents and Multi-Agents Systems. 956–963. 19 indexed citations
16.
Dolgov, Dmitri & Edmund H. Durfee. (2004). Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes.. Annals of Mathematics and Artificial Intelligence. 5 indexed citations
17.
Dolgov, Dmitri & Edmund H. Durfee. (2004). Optimal resource allocation and policy formulation in loosely-coupled Markov decision processes. International Conference on Automated Planning and Scheduling. 315–324. 28 indexed citations
18.
Dolgov, Dmitri & Edmund H. Durfee. (2003). Approximating optimal policies for agents with limited execution resources. International Joint Conference on Artificial Intelligence. 1107–1112. 14 indexed citations
19.
Dolgov, Dmitri. (2000). Calculation of the structure of the proton using lattice QCD. 2777. 1 indexed citations
20.
Dolgov, Dmitri, Richard C. Brower, John Negele, & Andrew Pochinsky. (1999). Study of instanton contributions to moments of nucleon spin-dependent structure functions. Nuclear Physics B - Proceedings Supplements. 73(1-3). 300–302. 5 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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