John J. Peterson
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Statistics, Probability and Uncertainty top 1%
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- A. Colin CameronPravin K. TrivediEnrique Del CastilloScott TempleLaura AciónStephan ArndtSteven NovickRoy S. Weiner
- Topics
- Optimal Experimental Design Methods (24 papers)Statistical Methods in Clinical Trials (9 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchStatistics and Probability
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John J. Peterson
51 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Management Science and Operations Research 383
- Economics and Econometrics 308
- Statistics, Probability and Uncertainty 279
- Statistics and Probability 245
- Computational Theory and Mathematics 241
Countries citing papers authored by John J. Peterson
This map shows the geographic impact of John J. Peterson'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 John J. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Peterson more than expected).
Fields of papers citing papers by John J. Peterson
This network shows the impact of papers produced by John J. Peterson. 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 John J. Peterson. The network helps show where John J. Peterson may publish in the future.
Co-authorship network of co-authors of John J. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of John J. Peterson. A scholar is included among the top collaborators of John J. Peterson 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 John J. Peterson. John J. Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 28 | |
| 3 | 10 | |
| 4 | 28 | |
| 5 | 64 | |
| 6 | 3 | |
| 7 | 27 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | Transduction and Tropism of an Abbreviated Form of CMV–Chicken ß–Actin Promoter (CBA) With AAV in Mouse Retina | 1 |
| 11 | 3 | |
| 12 | 187 | |
| 13 | 18 | |
| 14 | 64 | |
| 15 | 20 | |
| 16 | 24 | |
| 17 | 17 | |
| 18 | 10 | |
| 19 | 25 | |
| 20 | 1 |
About John J. Peterson
John J. Peterson is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (24 papers), Statistical Methods in Clinical Trials (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (279 citations), Management Science and Operations Research (383 citations) and Statistics and Probability (245 citations). John J. Peterson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include A. Colin Cameron, Pravin K. Trivedi, Enrique Del Castillo, Scott Temple, Laura Ación, Stephan Arndt, Steven Novick, Roy S. Weiner, Johnson Y.N. Lau and Rajesh K. Davda. Their work appears in journals such as Blood, The Journal of Immunology and Technometrics.
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.