John P. Morgan
- Management Science and Operations Research top 2%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Sociology and Political Science top 10%
- Statistics and Probability top 2%
- Co-authors
- Nizam UddinThomas P. RyanWilliam H. WoodallMahmoud A. MahmoudG LjunggrenI. M. ChakravartiScott S. VerbridgeBarbara Hempstead
- Topics
- Optimal Experimental Design Methods (45 papers)graph theory and CDMA systems (21 papers)Advanced Multi-Objective Optimization Algorithms (15 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
John P. Morgan
84 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Management Science and Operations Research 318
- Cognitive Neuroscience 283
- Social Psychology 239
- Sociology and Political Science 210
- Statistics and Probability 203
Countries citing papers authored by John P. Morgan
This map shows the geographic impact of John P. Morgan'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 P. Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Morgan more than expected).
Fields of papers citing papers by John P. Morgan
This network shows the impact of papers produced by John P. Morgan. 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 P. Morgan. The network helps show where John P. Morgan may publish in the future.
Co-authorship network of co-authors of John P. Morgan
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Morgan. A scholar is included among the top collaborators of John P. Morgan 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 P. Morgan. John P. Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 22 | |
| 4 | 15 | |
| 5 | 147 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | Lender Liability: Civil Liability Regimes For Environmental Harm | 1 |
| 15 | 0 | |
| 16 | 34 | |
| 17 | 2 | |
| 18 | 32 | |
| 19 | 26 | |
| 20 | 18 |
About John P. Morgan
John P. Morgan is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (45 papers), graph theory and CDMA systems (21 papers) and Advanced Multi-Objective Optimization Algorithms (15 papers). The work is most often cited by research in Management Science and Operations Research (318 citations), Statistics and Probability (203 citations) and Statistics, Probability and Uncertainty (154 citations). John P. Morgan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nizam Uddin, Thomas P. Ryan, William H. Woodall, Mahmoud A. Mahmoud, G Ljunggren, I. M. Chakravarti, Scott S. Verbridge, Barbara Hempstead, Michael Craven and Peter DelNero. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of the American Statistical Association.
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.