William D. Sudderth
- Economics and Econometrics top 1%
- Management Science and Operations Research top 1%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Finance top 2%
- Co-authors
- A. MaitraDavid HeathIoannis KaratzasRoger PurvesS. C. WilliamsR. Daniel MauldinBruce M. HillDavid A. Lane
- Topics
- Economic theories and models (47 papers)Stochastic processes and financial applications (23 papers)Game Theory and Applications (15 papers)
- Cited by
- Statistics and ProbabilityGeneral Decision SciencesManagement Science and Operations Research
- Journals
- Journal of the American Statistical AssociationAmerican Journal of EpidemiologyJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
William D. Sudderth
107 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Economics and Econometrics 761
- Management Science and Operations Research 507
- Statistics and Probability 448
- Artificial Intelligence 433
- Finance 404
Countries citing papers authored by William D. Sudderth
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | Financial Control of a Competitive Economy without Randomness | 1 |
| 5 | Properties of right Haar predictive inference | 6 |
| 6 | The Harmonic Fisher Equation and the Inflationary Bias of Real Uncertainty | 1 |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | Inflationary Bias in a Simple Stochastic Economy | 1 |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 73 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 0 | |
| 19 | 26 | |
| 20 | 10 |
About William D. Sudderth
William D. Sudderth is a scholar working on Management Science and Operations Research, Finance and Statistics and Probability, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Economic theories and models (47 papers), Stochastic processes and financial applications (23 papers) and Game Theory and Applications (15 papers). The work is most often cited by research in Statistics and Probability (448 citations), General Decision Sciences (83 citations) and Management Science and Operations Research (507 citations). William D. Sudderth has collaborated with scholars based in United States, Netherlands and Italy. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Epidemiology and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.