Walter W. Piegorsch
- Molecular Biology
- Cancer Research top 5%
- Statistics and Probability top 0.5%
- Sociology and Political Science top 5%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Susan L. CutterClarice R. WeinbergJack A. TaylorA. John BailerMathew C. SchmidtleinRoland C. DeutschNeal F. CarielloR. Webster West
- Topics
- Carcinogens and Genotoxicity Assessment (32 papers)Optimal Experimental Design Methods (31 papers)Statistical Methods and Bayesian Inference (28 papers)
- Journals
- Journal of the American Statistical AssociationBioinformaticsAmerican Journal of Clinical Nutrition
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Walter W. Piegorsch
139 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 188
- Molecular Biology 675
- Cancer Research 626
- Statistics and Probability 579
- Sociology and Political Science 397
- Health, Toxicology and Mutagenesis 387
Countries citing papers authored by Walter W. Piegorsch
This map shows the geographic impact of Walter W. Piegorsch'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 Walter W. Piegorsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter W. Piegorsch more than expected).
Fields of papers citing papers by Walter W. Piegorsch
This network shows the impact of papers produced by Walter W. Piegorsch. 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 Walter W. Piegorsch. The network helps show where Walter W. Piegorsch may publish in the future.
Co-authorship network of co-authors of Walter W. Piegorsch
This figure shows the co-authorship network connecting the top 25 collaborators of Walter W. Piegorsch. A scholar is included among the top collaborators of Walter W. Piegorsch 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 Walter W. Piegorsch. Walter W. Piegorsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Model Selection and Estimation with Quantal-Response Data in Benchmark Risk Assessment | 4 |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 168 | |
| 6 | 10 | |
| 7 | 22 | |
| 8 | 61 | |
| 9 | 200 | |
| 10 | 57 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 44 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 1 | |
| 20 | 12 |
About Walter W. Piegorsch
Walter W. Piegorsch is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (32 papers), Optimal Experimental Design Methods (31 papers) and Statistical Methods and Bayesian Inference (28 papers). The work is most often cited by research in Statistics and Probability (579 citations), Cancer Research (626 citations) and Health, Toxicology and Mutagenesis (387 citations). Walter W. Piegorsch has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Susan L. Cutter, Clarice R. Weinberg, Jack A. Taylor, A. John Bailer, Mathew C. Schmidtlein, Roland C. Deutsch, Neal F. Cariello, R. Webster West, W. T. Adams and Thomas R. Skopek. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and American Journal of Clinical Nutrition.
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.