J. Michael Steele

1.9k total citations
32 papers, 513 citations indexed

About

J. Michael Steele is a scholar working on Mathematical Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, J. Michael Steele has authored 32 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mathematical Physics, 9 papers in Artificial Intelligence and 9 papers in Statistics and Probability. Recurrent topics in J. Michael Steele's work include Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (8 papers) and Random Matrices and Applications (7 papers). J. Michael Steele is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (8 papers) and Random Matrices and Applications (7 papers). J. Michael Steele collaborates with scholars based in United States, Ecuador and Canada. J. Michael Steele's co-authors include David Aldous, Richard D. De Veaux, Persi Diaconis, Sid Browne, Joseph Glaz, Lawrence A. Shepp, Martin Kulldorff, Nassif Ghoussoub, Robert W. Chen and Noah Gans and has published in prestigious journals such as Technometrics, Operations Research and Mathematical Programming.

In The Last Decade

J. Michael Steele

30 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Michael Steele United States 9 118 105 102 89 81 32 513
Haya Kaspi Israel 15 176 1.5× 184 1.8× 123 1.2× 134 1.5× 67 0.8× 39 814
A. B. Dieker United States 13 137 1.2× 113 1.1× 200 2.0× 57 0.6× 34 0.4× 40 499
Boris Alexandrovich Sevast'yanov Russia 11 128 1.1× 248 2.4× 38 0.4× 50 0.6× 81 1.0× 47 554
M. P. Quine Australia 15 209 1.8× 244 2.3× 71 0.7× 33 0.4× 156 1.9× 59 611
James Lynch United States 14 362 3.1× 184 1.8× 267 2.6× 46 0.5× 117 1.4× 48 1.1k
Walter A. Rosenkrantz United States 12 178 1.5× 345 3.3× 273 2.7× 112 1.3× 75 0.9× 38 1.0k
Yu. V. Prokhorov Russia 11 222 1.9× 357 3.4× 261 2.6× 42 0.5× 113 1.4× 38 956
F. M. Spieksma Netherlands 11 123 1.0× 47 0.4× 35 0.3× 116 1.3× 56 0.7× 29 551
Rudolf Grübel Germany 17 354 3.0× 267 2.5× 266 2.6× 166 1.9× 256 3.2× 76 1.0k
Jeffrey J. Hunter New Zealand 16 214 1.8× 68 0.6× 48 0.5× 181 2.0× 75 0.9× 56 979

Countries citing papers authored by J. Michael Steele

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Michael Steele. 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 J. Michael Steele. The network helps show where J. Michael Steele may publish in the future.

Co-authorship network of co-authors of J. Michael Steele

This figure shows the co-authorship network connecting the top 25 collaborators of J. Michael Steele. A scholar is included among the top collaborators of J. Michael Steele 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 J. Michael Steele. J. Michael Steele 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.
Steele, J. Michael. (2025). The place of theory in Babylonian astral science. Journal of the British Academy. 13. 0–0. 1 indexed citations
2.
Adams, Samuel B., Travis J. Dekker, J. Michael Steele, & Kamran S. Hamid. (2017). The Use of Patient-Specific 3D Printed Titanium Implants for Complex Foot and Ankle Limb Salvage, Deformity Correction, and Arthrodesis Procedures. Foot & Ankle Orthopaedics. 2(3). 4 indexed citations
3.
Steele, J. Michael, et al.. (2016). Sequential selection of a monotone subsequence from a random permutation. Proceedings of the American Mathematical Society. 144(11). 4973–4982. 2 indexed citations
4.
Steele, J. Michael, et al.. (2016). A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming. Mathematics of Operations Research. 41(4). 1448–1468. 3 indexed citations
5.
Steele, J. Michael, et al.. (2015). Optimal online selection of a monotone subsequence: a central limit theorem. Stochastic Processes and their Applications. 125(9). 3596–3622. 7 indexed citations
6.
Gans, Noah, et al.. (2014). Markov Decision Problems Where Means Bound Variances. Operations Research. 62(4). 864–875. 7 indexed citations
7.
Steele, J. Michael, et al.. (2011). Optimal Sequential Selection of a Unimodal Subsequence of a Random Sequence. Combinatorics Probability Computing. 20(6). 799–814. 9 indexed citations
8.
Chen, Robert W., et al.. (2011). Online Selection of Alternating Subsequences from a Random Sample. Journal of Applied Probability. 48(4). 1114–1132. 7 indexed citations
9.
Qiao, Zhihua & J. Michael Steele. (2005). Random walks whose concave majorants often have few faces. Statistics & Probability Letters. 75(2). 97–102. 1 indexed citations
10.
Glaz, Joseph, et al.. (2005). A martingale approach to scan statistics. Annals of the Institute of Statistical Mathematics. 57(1). 21–37. 13 indexed citations
11.
Steele, J. Michael, et al.. (2003). On the martingale framework for futures prices. Stochastic Processes and their Applications. 109(1). 69–77. 7 indexed citations
12.
Steele, J. Michael. (2002). The Bohnenblust–Spitzer algorithm and its applications. Journal of Computational and Applied Mathematics. 142(1). 235–249. 6 indexed citations
13.
Aldous, David, et al.. (1995). Discrete Probability and Algorithms. CERN Document Server (European Organization for Nuclear Research). 44 indexed citations
14.
Steele, J. Michael, et al.. (1994). General Spacefilling Curve Heuristics and Limit Theory for the Traveling Salesman Problem. Journal of Complexity. 10(2). 230–245. 12 indexed citations
15.
Steele, J. Michael, et al.. (1993). Equidistribution of point sets for the traveling salesman and related problems. Symposium on Discrete Algorithms. 462–466. 1 indexed citations
16.
Browne, Sid & J. Michael Steele. (1993). Transient behavior of coverage processes by applications to the infinite-server queue. Journal of Applied Probability. 30(3). 589–601. 8 indexed citations
17.
Steele, J. Michael. (1990). Probabilistic and Worst Case Analyses of Classical Problems of Combinatorial Optimization in Euclidean Space. Mathematics of Operations Research. 15(4). 749–770. 50 indexed citations
18.
Veaux, Richard D. De & J. Michael Steele. (1989). ACE Guided-Transformation Method for Estimation of the Coefficient of Soil-Water Diffusivity. Technometrics. 31(1). 91–98. 21 indexed citations
19.
Boyd, David W. & J. Michael Steele. (1979). Monotone subsequences in the sequence of fractional parts of multiples of an irrational.. Journal für die reine und angewandte Mathematik (Crelles Journal). 1979(306). 49–59. 1 indexed citations
20.
Junco, Andrés del & J. Michael Steele. (1977). Moving averages of ergodic processes. Metrika. 24(1). 35–43. 3 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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