Donald G. Watts
- Global and Planetary Change top 2%
- Statistics and Probability top 0.2%
- Atmospheric Science top 2%
- Control and Systems Engineering top 1%
- Oceanography top 2%
- Co-authors
- Douglas M. BatesGwilym M. JenkinsWalter FreibergerDavid A. RatkowskyD. W. BaconDavid C. HamiltonPaul H. RandolphC. Wild
- Topics
- Advanced Statistical Methods and Models (9 papers)Optimal Experimental Design Methods (8 papers)Statistical and numerical algorithms (6 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Donald G. Watts
71 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Global and Planetary Change 1.1k
- Statistics and Probability 1.0k
- Atmospheric Science 838
- Control and Systems Engineering 708
- Oceanography 706
Countries citing papers authored by Donald G. Watts
This map shows the geographic impact of Donald G. Watts'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 Donald G. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald G. Watts more than expected).
Fields of papers citing papers by Donald G. Watts
This network shows the impact of papers produced by Donald G. Watts. 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 Donald G. Watts. The network helps show where Donald G. Watts may publish in the future.
Co-authorship network of co-authors of Donald G. Watts
This figure shows the co-authorship network connecting the top 25 collaborators of Donald G. Watts. A scholar is included among the top collaborators of Donald G. Watts 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 Donald G. Watts. Donald G. Watts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 26 | |
| 3 | 51 | |
| 4 | 47 | |
| 5 | 8 | |
| 6 | Nonlinear Regression Analysis and Its Applicationsbreakdown → | 3010 |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 84 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 31 | |
| 14 | 5 | |
| 15 | 38 | |
| 16 | 10 | |
| 17 | Спектральный анализ и его приложения | 1 |
| 18 | 8 | |
| 19 | 40 | |
| 20 | 9 |
About Donald G. Watts
Donald G. Watts is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 74 papers that have together received 9.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Optimal Experimental Design Methods (8 papers) and Statistical and numerical algorithms (6 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Statistics, Probability and Uncertainty (475 citations) and Oceanography (706 citations). Donald G. Watts has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Douglas M. Bates, Gwilym M. Jenkins, Walter Freiberger, David A. Ratkowsky, D. W. Bacon, David C. Hamilton, Paul H. Randolph, C. Wild, Robert E. Kass and George A. F. Seber. Their work appears in journals such as Circulation, Journal of the American Statistical Association and Technometrics.
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.