David C. Hoaglin
- Statistics and Probability top 0.05%
- Statistics, Probability and Uncertainty top 0.05%
- Artificial Intelligence top 1%
- Economics and Econometrics top 0.5%
- Psychiatry and Mental health top 1%
- Co-authors
- John W. TukeyFrederick MostellerBoris IglewiczRoy E. WelschCatherine S. BerkeyD. CollettGraham A. ColditzGordon J. Ross
- Topics
- Statistical Methods in Clinical Trials (21 papers)Meta-analysis and systematic reviews (20 papers)Advanced Statistical Methods and Models (19 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David C. Hoaglin
159 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 240
- Statistics and Probability 2.4k
- Statistics, Probability and Uncertainty 1.4k
- Artificial Intelligence 1.3k
- Economics and Econometrics 1.2k
- Psychiatry and Mental health 1.1k
Countries citing papers authored by David C. Hoaglin
This map shows the geographic impact of David C. Hoaglin'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 David C. Hoaglin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hoaglin more than expected).
Fields of papers citing papers by David C. Hoaglin
This network shows the impact of papers produced by David C. Hoaglin. 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 David C. Hoaglin. The network helps show where David C. Hoaglin may publish in the future.
Co-authorship network of co-authors of David C. Hoaglin
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Hoaglin. A scholar is included among the top collaborators of David C. Hoaglin 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 David C. Hoaglin. David C. Hoaglin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 30 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | 43 | |
| 11 | 45 | |
| 12 | 44 | |
| 13 | 21 | |
| 14 | 33 | |
| 15 | 8 | |
| 16 | Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics) | 8 |
| 17 | 33 | |
| 18 | Fine-Tuning Some Resistant Rules for Outlier Labelingbreakdown → | 880 |
| 19 | 20 | |
| 20 | The Hat Matrix in Regression and ANOVAbreakdown → | 558 |
About David C. Hoaglin
David C. Hoaglin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Anesthesiology and Pain Medicine, having authored 165 papers that have together received 15.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (21 papers), Meta-analysis and systematic reviews (20 papers) and Advanced Statistical Methods and Models (19 papers). The work is most often cited by research in Statistics and Probability (2.4k citations), Statistics, Probability and Uncertainty (1.4k citations) and Software (361 citations). David C. Hoaglin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John W. Tukey, Frederick Mosteller, Boris Iglewicz, Roy E. Welsch, Catherine S. Berkey, D. Collett, Graham A. Colditz, Gordon J. Ross, Peter W. Jones and Jarrett Rosenberg. Their work appears in journals such as JAMA, Circulation and Journal of Clinical Investigation.
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.