Dennis D. Cox
- Surgery top 5%
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- St. JohnMichele FollenFinbarr O’SullivanAndrew T. WaldenDonald B. PercivalE. Neely AtkinsonJeffrey D. ReubenRebecca Richards‐Kortum
- Topics
- Statistical Methods and Inference (18 papers)Cervical Cancer and HPV Research (15 papers)Bayesian Methods and Mixture Models (12 papers)
- Journals
- Journal of Clinical OncologyJournal of the American Statistical AssociationEnvironmental Science & Technology
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Dennis D. Cox
97 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 170
- Surgery 635
- Statistics and Probability 531
- Artificial Intelligence 489
- Epidemiology 355
- Radiology, Nuclear Medicine and Imaging 347
Countries citing papers authored by Dennis D. Cox
This map shows the geographic impact of Dennis D. Cox'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 Dennis D. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis D. Cox more than expected).
Fields of papers citing papers by Dennis D. Cox
This network shows the impact of papers produced by Dennis D. Cox. 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 Dennis D. Cox. The network helps show where Dennis D. Cox may publish in the future.
Co-authorship network of co-authors of Dennis D. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis D. Cox. A scholar is included among the top collaborators of Dennis D. Cox 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 Dennis D. Cox. Dennis D. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 64 | |
| 5 | 40 | |
| 6 | P197-M Automated Ion Selection and Method Building For MRM-Based Protein Validation And Quantification | 2 |
| 7 | 3 | |
| 8 | 30 | |
| 9 | 72 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 44 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 32 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | 17 | |
| 20 | 1 |
About Dennis D. Cox
Dennis D. Cox is a scholar working on Statistics and Probability, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Cervical Cancer and HPV Research (15 papers) and Bayesian Methods and Mixture Models (12 papers). The work is most often cited by research in Statistics and Probability (531 citations), Biophysics (184 citations) and Statistics, Probability and Uncertainty (212 citations). Dennis D. Cox has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include St. John, Michele Follen, Finbarr O’Sullivan, Andrew T. Walden, Donald B. Percival, E. Neely Atkinson, Jeffrey D. Reuben, Rebecca Richards‐Kortum, M Watson and Calum MacAulay. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Environmental Science & Technology.
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.