A. A. Yushkevich

491 total citations
22 papers, 302 citations indexed

About

A. A. Yushkevich is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, A. A. Yushkevich has authored 22 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in A. A. Yushkevich's work include Markov Chains and Monte Carlo Methods (5 papers), Economic theories and models (5 papers) and Reinforcement Learning in Robotics (5 papers). A. A. Yushkevich is often cited by papers focused on Markov Chains and Monte Carlo Methods (5 papers), Economic theories and models (5 papers) and Reinforcement Learning in Robotics (5 papers). A. A. Yushkevich collaborates with scholars based in United States, Mexico and Netherlands. A. A. Yushkevich's co-authors include Arie Hordijk and E. B. Dynkin and has published in prestigious journals such as SIAM Journal on Control and Optimization, Mathematics of Operations Research and Russian Mathematical Surveys.

In The Last Decade

A. A. Yushkevich

20 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. A. Yushkevich United States	11	86	86	85	73	70	22	302
Albrecht Irle Germany	10	35 0.4×	84 1.0×	54 0.6×	104 1.4×	94 1.3×	54	319
Łukasz Stettner Poland	14	47 0.5×	107 1.2×	73 0.9×	252 3.5×	125 1.8×	72	487
Tomás Prieto-Rumeau Spain	13	158 1.8×	188 2.2×	103 1.2×	101 1.4×	77 1.1×	43	435
Łukasz Stettner Poland	8	85 1.0×	143 1.7×	82 1.0×	142 1.9×	97 1.4×	16	308
Jun-ichi Nakagami Japan	12	144 1.7×	211 2.5×	202 2.4×	52 0.7×	49 0.7×	34	334
N. V. Kartashov Ukraine	6	29 0.3×	90 1.0×	131 1.5×	49 0.7×	16 0.2×	11	256
Robert P. Kertz United States	11	52 0.6×	245 2.8×	65 0.8×	116 1.6×	84 1.2×	37	413
A. Maitra United States	12	62 0.7×	223 2.6×	66 0.8×	75 1.0×	297 4.2×	49	547
Kumar Jogdeo United States	10	100 1.2×	150 1.7×	174 2.0×	81 1.1×	21 0.3×	18	375
Boris Alexandrovich Sevast'yanov Russia	11	81 0.9×	88 1.0×	128 1.5×	38 0.5×	11 0.2×	47	554

Countries citing papers authored by A. A. Yushkevich

Since Specialization

Citations

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

Fields of papers citing papers by A. A. Yushkevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Yushkevich

This figure shows the co-authorship network connecting the top 25 collaborators of A. A. Yushkevich. A scholar is included among the top collaborators of A. A. Yushkevich 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 A. A. Yushkevich. A. A. Yushkevich 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

Yushkevich, A. A., et al.. (2003). Stability estimates in the problem of average optimal switching of a Markov chain. Mathematical Methods of Operations Research. 57(3). 345–365. 7 indexed citations

Yushkevich, A. A., et al.. (2002). Average optimal switching of a Markov chain with a Borel state space. Mathematical Methods of Operations Research. 55(1). 143–159. 2 indexed citations

Yushkevich, A. A.. (2001). Optimal switching problem for countable Markov chains: average reward criterion. Mathematical Methods of Operations Research. 53(1). 1–24. 11 indexed citations

Hordijk, Arie & A. A. Yushkevich. (1999). Blackwell optimality in the class of all policies in Markov decision chains with a Borel state space and unbounded rewards. Mathematical Methods of Operations Research. 50(3). 421–448. 35 indexed citations

Yushkevich, A. A., et al.. (1997). Average optimality in a Poissonian bandit with switching arms. Mathematical Methods of Operations Research. 45(2). 265–280. 2 indexed citations

Yushkevich, A. A.. (1997). Blackwell Optimality in Borelian Continuous-in-Action Markov Decision Processes. SIAM Journal on Control and Optimization. 35(6). 2157–2182. 6 indexed citations

Yushkevich, A. A.. (1996). A note on asymptotics of discounted value function and strong 0-discount optimality. Mathematical Methods of Operations Research. 44(2). 223–231. 9 indexed citations

Yushkevich, A. A.. (1990). Verification Theorems for Markov Decision Processes with Controlled Deterministic Drift and Gradual and Impulsive Controls. Theory of Probability and Its Applications. 34(3). 474–496. 15 indexed citations

Yushkevich, A. A.. (1982). On Semi-Markov Controlled Models with an Average Reward Criterion. Theory of Probability and Its Applications. 26(4). 796–803. 16 indexed citations

10.

Yushkevich, A. A., et al.. (1982). Controlled random sequences and Markov chains. Russian Mathematical Surveys. 37(6). 239–274. 19 indexed citations

11.

Yushkevich, A. A.. (1981). Controlled Jump Markov Models. Theory of Probability and Its Applications. 25(2). 244–266. 18 indexed citations

12.

Yushkevich, A. A.. (1980). On Reducing a Jump Controllable Markov Model to a Model with Discrete Time. Theory of Probability and Its Applications. 25(1). 58–69. 31 indexed citations

13.

Yushkevich, A. A., et al.. (1980). Addendum: On Homogeneous Controlled Markov Models with Continuous Time and Finite or Countable Number of States. Theory of Probability and Its Applications. 25(1). 215–215. 1 indexed citations

14.

Yushkevich, A. A.. (1978). Controlled Markov Models with Countable State Space and Continuous Time. Theory of Probability and Its Applications. 22(2). 215–235. 29 indexed citations

15.

Yushkevich, A. A.. (1976). Reduction of a Controlled Markov Model with Incomplete Data to a Problem with Complete Information in the Case of Borel State and Control Space. Theory of Probability and Its Applications. 21(1). 153–158. 34 indexed citations

16.

Dynkin, E. B. & A. A. Yushkevich. (1968). On the Starting Points of Incursions of Markov Processes. Theory of Probability and Its Applications. 13(3). 468–470. 3 indexed citations

17.

Yushkevich, A. A.. (1967). On a Limit Theorem for an Attrition Game. Theory of Probability and Its Applications. 12(2). 286–294.

18.

Yushkevich, A. A.. (1960). On the Definition of a Strong Markov Process. Theory of Probability and Its Applications. 5(2). 216–220. 2 indexed citations

19.

Yushkevich, A. A.. (1957). On Strong Markov Processes. Theory of Probability and Its Applications. 2(2). 181–205. 10 indexed citations

20.

Dynkin, E. B. & A. A. Yushkevich. (1956). Strong Markov Processes. Theory of Probability and Its Applications. 1(1). 134–139. 22 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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