William D. Sudderth

3.0k total citations
109 papers, 1.8k citations indexed

About

William D. Sudderth is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, William D. Sudderth has authored 109 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Economics and Econometrics, 30 papers in Management Science and Operations Research and 23 papers in Finance. Recurrent topics in William D. Sudderth's work include Economic theories and models (47 papers), Stochastic processes and financial applications (23 papers) and Game Theory and Applications (15 papers). William D. Sudderth is often cited by papers focused on Economic theories and models (47 papers), Stochastic processes and financial applications (23 papers) and Game Theory and Applications (15 papers). William D. Sudderth collaborates with scholars based in United States, Netherlands and Italy. William D. Sudderth's co-authors include A. Maitra, David Heath, Ioannis Karatzas, Roger Purves, S. C. Williams, R. Daniel Mauldin, Bruce M. Hill, David A. Lane, Frank S. Rhame and David A. Lane and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Epidemiology and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

William D. Sudderth

107 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William D. Sudderth United States 23 761 507 448 433 404 109 1.8k
Paul A. Meyer United States 13 289 0.4× 266 0.5× 219 0.5× 212 0.5× 794 2.0× 50 2.0k
J. Neveu France 13 242 0.3× 304 0.6× 429 1.0× 204 0.5× 341 0.8× 29 1.7k
Péter Major Hungary 18 340 0.4× 458 0.9× 1.0k 2.3× 397 0.9× 1.1k 2.8× 40 2.5k
Jean Jacod United States 7 660 0.9× 471 0.9× 580 1.3× 191 0.4× 2.1k 5.1× 12 2.9k
Ditlev Monrad United States 9 612 0.8× 464 0.9× 484 1.1× 167 0.4× 1.9k 4.7× 12 2.7k
Makoto Maejima Japan 21 335 0.4× 288 0.6× 263 0.6× 89 0.2× 790 2.0× 86 1.3k
Wim Vervaat Netherlands 15 190 0.2× 319 0.6× 335 0.7× 227 0.5× 503 1.2× 43 1.2k
David W. Walkup United States 16 136 0.2× 672 1.3× 458 1.0× 223 0.5× 277 0.7× 27 1.7k
Dieter Denneberg Germany 8 248 0.3× 717 1.4× 335 0.7× 210 0.5× 171 0.4× 18 976
Ken‐iti Sato Japan 19 498 0.7× 787 1.6× 616 1.4× 177 0.4× 2.2k 5.4× 71 3.4k

Countries citing papers authored by William D. Sudderth

Since Specialization
Citations

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

Fields of papers citing papers by William D. Sudderth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Sudderth. 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 William D. Sudderth. The network helps show where William D. Sudderth may publish in the future.

Co-authorship network of co-authors of William D. Sudderth

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Sudderth. A scholar is included among the top collaborators of William D. Sudderth 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 William D. Sudderth. William D. Sudderth 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.
Flesch, János, Arkadi Predtetchinski, & William D. Sudderth. (2018). Simplifying optimal strategies in limsup and liminf stochastic games. Discrete Applied Mathematics. 251. 40–56. 4 indexed citations
2.
Prikry, Karel & William D. Sudderth. (2015). Measurability of the value of a parametrized game. International Journal of Game Theory. 45(3). 675–683. 3 indexed citations
3.
Laraki, Rida, A. Maitra, & William D. Sudderth. (2012). Two-Person Zero-Sum Stochastic Games with Semicontinuous Payoff. Dynamic Games and Applications. 3(2). 162–171. 13 indexed citations
4.
Karatzas, Ioannis, Martín Shubik, & William D. Sudderth. (2008). Financial Control of a Competitive Economy without Randomness. SSRN Electronic Journal. 1 indexed citations
5.
Sudderth, William D., et al.. (2004). Properties of right Haar predictive inference. 66(3). 487–512. 6 indexed citations
6.
Karatzas, Ioannis, Martín Shubik, William D. Sudderth, & John Geanakoplos. (2003). The Harmonic Fisher Equation and the Inflationary Bias of Real Uncertainty. SSRN Electronic Journal. 1 indexed citations
7.
Maitra, A. & William D. Sudderth. (2003). Borel stay-in-a-set games. International Journal of Game Theory. 32(1). 97–108. 6 indexed citations
8.
Secchi, Piercesare & William D. Sudderth. (2002). N-Person stochastic games with upper semi-continuous payoffs. International Journal of Game Theory. 30(4). 491–502. 3 indexed citations
9.
Eaton, Morris L. & William D. Sudderth. (2002). Group invariant inference and right Haar measure. Journal of Statistical Planning and Inference. 103(1-2). 87–99. 8 indexed citations
10.
Karatzas, Ioannis, Martín Shubik, William D. Sudderth, & John Geanakoplos. (2001). Inflationary Bias in a Simple Stochastic Economy. SSRN Electronic Journal. 1 indexed citations
11.
Eaton, Morris L. & William D. Sudderth. (1999). Consistency and Strong Inconsistency of Group-Invariant Predictive Inferences. Bernoulli. 5(5). 833–833. 15 indexed citations
12.
Maitra, A., Roger Purves, & William D. Sudderth. (1990). Leavable gambling problems with unbounded utilities. Transactions of the American Mathematical Society. 320(2). 543–567. 6 indexed citations
13.
Dubins, Lester E., A. Maitra, Roger Purves, & William D. Sudderth. (1989). Measurable, nonleavable gambling problems. Israel Journal of Mathematics. 67(3). 257–271. 10 indexed citations
14.
Sudderth, William D.. (1985). Book Review: Bayes theory. Bulletin of the American Mathematical Society. 12(2). 294–298. 1 indexed citations
15.
Sudderth, William D., et al.. (1985). Continuous-Time Red and Black: How to Control a Diffusion to a Goal. Mathematics of Operations Research. 10(4). 599–611. 73 indexed citations
16.
Sudderth, William D.. (1983). Gambling Problems with a Limit Inferior Payoff. Mathematics of Operations Research. 8(2). 287–297. 4 indexed citations
17.
Lane, David A. & William D. Sudderth. (1978). Diffuse Models for Sampling and Predictive Inference. The Annals of Statistics. 6(6). 15 indexed citations
18.
Gilat, David & William D. Sudderth. (1976). Generalized kolmogorov inequalities for martingales. Probability Theory and Related Fields. 36(1). 67–73.
19.
Sudderth, William D.. (1969). On the existence of good stationary strategies. Transactions of the American Mathematical Society. 135(0). 399–414. 26 indexed citations
20.
Sudderth, William D.. (1969). On the Existence of Good Stationary Strategies. Transactions of the American Mathematical Society. 135. 399–399. 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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