Eleanor D. Campbell
- Public Health, Environmental and Occupational Health
- Oncology
- Management Science and Operations Research top 5%
- Molecular Biology
- Statistics and Probability top 5%
- Co-authors
- Walter H. CarterJanet S. KniselyKaren L. CropseyMartha J. WunschChris GenningsKimber L. WhiteVernon M. ChinchilliJoan G. Staniswalis
- Topics
- Optimal Experimental Design Methods (6 papers)Opioid Use Disorder Treatment (4 papers)Statistical Methods in Clinical Trials (4 papers)
- Cited by
- Anesthesiology and Pain MedicineStatistics and ProbabilityManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
Eleanor D. Campbell
20 papers receiving 511 citations
Peers
Comparison fields: 5 of 94
- Public Health, Environmental and Occupational Health 117
- Oncology 111
- Management Science and Operations Research 110
- Molecular Biology 84
- Statistics and Probability 83
Countries citing papers authored by Eleanor D. Campbell
This map shows the geographic impact of Eleanor D. Campbell'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 Eleanor D. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleanor D. Campbell more than expected).
Fields of papers citing papers by Eleanor D. Campbell
This network shows the impact of papers produced by Eleanor D. Campbell. 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 Eleanor D. Campbell. The network helps show where Eleanor D. Campbell may publish in the future.
Co-authorship network of co-authors of Eleanor D. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Eleanor D. Campbell. A scholar is included among the top collaborators of Eleanor D. Campbell 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 Eleanor D. Campbell. Eleanor D. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 95 | |
| 3 | 20 | |
| 4 | 52 | |
| 5 | 114 | |
| 6 | 9 | |
| 7 | A larage-sample confidence region useful in characterizing the stationary point of a quadratic response surface | 1 |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 12 | |
| 11 | 79 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 15 | |
| 17 | 17 | |
| 18 | 19 | |
| 19 | Drug activity and therapeutic synergism in cancer treatment. | 35 |
| 20 | 2 |
About Eleanor D. Campbell
Eleanor D. Campbell is a scholar working on Statistics and Probability, Anesthesiology and Pain Medicine and Management Science and Operations Research, having authored 21 papers that have together received 540 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (6 papers), Opioid Use Disorder Treatment (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (78 citations), Statistics and Probability (83 citations) and Management Science and Operations Research (110 citations). Eleanor D. Campbell has collaborated with scholars based in United States. Frequent co-authors include Walter H. Carter, Janet S. Knisely, Karen L. Cropsey, Martha J. Wunsch, Chris Gennings, Kimber L. White, Vernon M. Chinchilli, Joan G. Staniswalis, Sidney H. Schnoll and Kathryn Dawson. Their work appears in journals such as Journal of Clinical Oncology, Technometrics and Biometrics.
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.