Edward J. Dudewicz
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Finance top 5%
- Co-authors
- Zaven A. KarianJohn S. RambergSatya N. MishraEdward F. MykytkaPandu R. TadikamallaEdward C. van der MeulenEric R. ZiegelThomas A. Bishop
- Topics
- Advanced Statistical Methods and Models (34 papers)Optimal Experimental Design Methods (14 papers)Statistical Methods and Inference (13 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Edward J. Dudewicz
101 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 163
- Statistics and Probability 1.2k
- Statistics, Probability and Uncertainty 558
- Management Science and Operations Research 547
- Artificial Intelligence 407
- Finance 198
Countries citing papers authored by Edward J. Dudewicz
This map shows the geographic impact of Edward J. Dudewicz'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 Edward J. Dudewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Dudewicz more than expected).
Fields of papers citing papers by Edward J. Dudewicz
This network shows the impact of papers produced by Edward J. Dudewicz. 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 Edward J. Dudewicz. The network helps show where Edward J. Dudewicz may publish in the future.
Co-authorship network of co-authors of Edward J. Dudewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Dudewicz. A scholar is included among the top collaborators of Edward J. Dudewicz 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 Edward J. Dudewicz. Edward J. Dudewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | COMPARISON OF GLD FITTING METHODS: SUPERIORITY OF PERCENTILE FITS TO MOMENTS IN L2 NORM | 23 |
| 3 | 62 | |
| 4 | 8 | |
| 5 | The frontiers of statistical computation, simulation & modeling | 1 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | Modern Design and Analysis of Discrete-Event Computer Simulations | 10 |
| 9 | Recent results in estimation theory and related topics | 1 |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 14 |
About Edward J. Dudewicz
Edward J. Dudewicz is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 112 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (34 papers), Optimal Experimental Design Methods (14 papers) and Statistical Methods and Inference (13 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (558 citations) and Management Science and Operations Research (547 citations). Edward J. Dudewicz has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Zaven A. Karian, John S. Ramberg, Satya N. Mishra, Edward F. Mykytka, Pandu R. Tadikamalla, Edward C. van der Meulen, Eric R. Ziegel, Thomas A. Bishop, Shanti S. Gupta and S. Panchapakesan. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.