John I. Marden
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- David J. GroggelJean Dickinson GibbonsM. G. KendallM.R. MurphyH. W. GonyouLouis A. RoussosWilliam StoutAna M. Aguilera
- Topics
- Advanced Statistical Methods and Models (23 papers)Statistical Methods and Inference (8 papers)Statistical Methods and Bayesian Inference (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- United StatesSouth KoreaBelgium
In The Last Decade
John I. Marden
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 561
- Artificial Intelligence 304
- Management Science and Operations Research 258
- Economics and Econometrics 155
- Statistics, Probability and Uncertainty 146
Countries citing papers authored by John I. Marden
This map shows the geographic impact of John I. Marden'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 I. Marden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John I. Marden more than expected).
Fields of papers citing papers by John I. Marden
This network shows the impact of papers produced by John I. Marden. 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 I. Marden. The network helps show where John I. Marden may publish in the future.
Co-authorship network of co-authors of John I. Marden
This figure shows the co-authorship network connecting the top 25 collaborators of John I. Marden. A scholar is included among the top collaborators of John I. Marden 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 I. Marden. John I. Marden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 21 | |
| 3 | 44 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 63 | |
| 9 | Statistics: Making Sense of Data | 1 |
| 10 | 51 | |
| 11 | 7 | |
| 12 | 29 | |
| 13 | 9 | |
| 14 | 100 | |
| 15 | 19 | |
| 16 | 24 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | ON THE INADMISSIBILITY OF STEP-DOWN PROCEDURES | 1 |
| 20 | 7 |
About John I. Marden
John I. Marden is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (561 citations), Management Science and Operations Research (258 citations) and Statistics, Probability and Uncertainty (146 citations). John I. Marden has collaborated with scholars based in United States, South Korea and Belgium. Frequent co-authors include David J. Groggel, Jean Dickinson Gibbons, M. G. Kendall, M.R. Murphy, H. W. Gonyou, Louis A. Roussos, William Stout, Ana M. Aguilera, Douglas G. Simpson and Mariano J. Valderrama. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Dairy Science.
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.