Dean Isaacson

1.6k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Dean Isaacson is a scholar working on Statistics and Probability, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Dean Isaacson has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 7 papers in Mathematical Physics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Dean Isaacson's work include Markov Chains and Monte Carlo Methods (10 papers), Stochastic processes and statistical mechanics (4 papers) and Mathematical Dynamics and Fractals (4 papers). Dean Isaacson is often cited by papers focused on Markov Chains and Monte Carlo Methods (10 papers), Stochastic processes and statistical mechanics (4 papers) and Mathematical Dynamics and Fractals (4 papers). Dean Isaacson collaborates with scholars based in United States, Australia and United Kingdom. Dean Isaacson's co-authors include Marius Iosifescu, Richard Madsen, Richard Madsen, Chris Paige, Alexander Zeifman, Barry C. Arnold, Cheng Huang, Robert McGinnis, Glenn R. Luecke and Richard L. Tweedie and has published in prestigious journals such as Journal of the American Statistical Association, Contemporary Sociology A Journal of Reviews and Biometrics.

In The Last Decade

Dean Isaacson

32 papers receiving 1.0k citations

Hit Papers

Finite Markov Processes and Their Applications. 1981 2026 1996 2011 1981 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Finite Markov Processes and Their Applications.
    1981 378 citations Dean Isaacson, Marius Iosifescu Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean Isaacson United States 13 248 223 204 175 154 34 1.1k
Petr Mandl Czechia 11 315 1.3× 192 0.9× 138 0.7× 117 0.7× 96 0.6× 37 1.0k
John Hawkes United Kingdom 15 391 1.6× 241 1.1× 497 2.4× 157 0.9× 122 0.8× 47 1.6k
Stephen M. Samuels United States 17 223 0.9× 258 1.2× 134 0.7× 106 0.6× 378 2.5× 39 1.3k
Iosif Il’ich Gihman Russia 7 174 0.7× 113 0.5× 305 1.5× 150 0.9× 58 0.4× 7 1.2k
James Lynch United States 14 362 1.5× 117 0.5× 184 0.9× 88 0.5× 46 0.3× 48 1.1k
Anatoliĭ Vladimirovich Skorohod Russia 5 159 0.6× 94 0.4× 286 1.4× 134 0.8× 44 0.3× 5 1.0k
Amarjit Budhiraja United States 21 226 0.9× 218 1.0× 281 1.4× 257 1.5× 130 0.8× 93 1.4k
Erhan Çınlar United States 21 538 2.2× 173 0.8× 419 2.1× 179 1.0× 206 1.3× 57 2.2k
Ulrich Krengel Germany 18 417 1.7× 128 0.6× 892 4.4× 279 1.6× 135 0.9× 56 1.7k
Dale E. Varberg United States 13 205 0.8× 87 0.4× 260 1.3× 520 3.0× 52 0.3× 34 1.6k

Countries citing papers authored by Dean Isaacson

Since Specialization
Citations

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

Fields of papers citing papers by Dean Isaacson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Isaacson

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Isaacson. A scholar is included among the top collaborators of Dean Isaacson 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 Dean Isaacson. Dean Isaacson 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.
Zeifman, Alexander & Dean Isaacson. (1994). On strong ergodicity for nonhomogeneous continuous-time Markov chains. Stochastic Processes and their Applications. 50(2). 263–273. 35 indexed citations
2.
Isaacson, Dean, et al.. (1988). Conditions for strong ergodicity using intensity matrices. Journal of Applied Probability. 25(1). 34–42. 3 indexed citations
3.
Isaacson, Dean, et al.. (1983). Proportional intensities and strong ergodicity for Markov processes. Journal of Applied Probability. 20(1). 185–190. 3 indexed citations
4.
Isaacson, Dean, et al.. (1983). Proportional intensities and strong ergodicity for Markov processes. Journal of Applied Probability. 20(1). 185–190. 10 indexed citations
5.
Isaacson, Dean & E. Seneta. (1982). Ergodicity for countable inhomogeneous Markov chains. Linear Algebra and its Applications. 48. 37–44. 5 indexed citations
6.
Arnold, Barry C., et al.. (1982). Strong ergodicity for continuous-time, non-homogeneous Markov chains. Journal of Applied Probability. 19(3). 692–694. 2 indexed citations
7.
Isaacson, Dean & Marius Iosifescu. (1981). Finite Markov Processes and Their Applications.. Journal of the American Statistical Association. 76(374). 493–493. 378 indexed citations breakdown →
8.
Isaacson, Dean. (1980). Ergodicity, geometric ergodicity and strong ergodicity. Advances in Applied Probability. 12(2). 300–300. 1 indexed citations
9.
Isaacson, Dean & Barry C. Arnold. (1978). Strong ergodicity for continuous-time Markov chains. Journal of Applied Probability. 15(4). 699–706. 12 indexed citations
10.
Isaacson, Dean & Glenn R. Luecke. (1978). Strongly ergodic Markov chains and rates of convergence using spectral conditions. Stochastic Processes and their Applications. 7(1). 113–121. 19 indexed citations
11.
Isaacson, Dean & Richard L. Tweedie. (1978). Criteria for strong ergodicity of Markov chains. Journal of Applied Probability. 15(1). 87–95. 9 indexed citations
12.
Bowerman, Bruce L., et al.. (1977). The convergence of Cesaro averages for certain nonstationary Markov chains. Stochastic Processes and their Applications. 5(3). 221–230. 21 indexed citations
13.
Meeden, Glen & Dean Isaacson. (1977). Approximate Behavior of the Posterior Distribution for a Large Observation. The Annals of Statistics. 5(5). 14 indexed citations
14.
Isaacson, Dean, et al.. (1977). Markov Chains -- Theory and Applications. Operational Research Quarterly (1970-1977). 28(1). 236–236. 329 indexed citations
15.
Paige, Chris, Dean Isaacson, & Richard Madsen. (1977). Markov Chains, Theory and Applications.. Journal of the American Statistical Association. 72(359). 692–692. 56 indexed citations
16.
Isaacson, Dean, et al.. (1976). Ergodicity Using Mean Visit Times. Journal of the London Mathematical Society. s2-14(3). 570–576. 10 indexed citations
17.
Huang, Cheng, et al.. (1976). The rate of convergence of certain nonhomogeneous Markov chains. Probability Theory and Related Fields. 35(2). 141–146. 46 indexed citations
18.
Isaacson, Dean & Richard Madsen. (1974). Positive columns for stochastic matrices. Journal of Applied Probability. 11(4). 829–835. 2 indexed citations
19.
Madsen, Richard & Dean Isaacson. (1973). Strongly Ergodic Behavior for Non-Stationary Markov Processes. The Annals of Probability. 1(2). 29 indexed citations
20.
Isaacson, Dean. (1969). Stochastic Integrals and Derivatives. The Annals of Mathematical Statistics. 40(5). 1610–1616. 10 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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