Donald G. Watts

13.2k total citations · 4 hit papers
74 papers, 9.7k citations indexed

About

Donald G. Watts is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Donald G. Watts has authored 74 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Donald G. Watts's work include Advanced Statistical Methods and Models (9 papers), Optimal Experimental Design Methods (8 papers) and Statistical and numerical algorithms (6 papers). Donald G. Watts is often cited by papers focused on Advanced Statistical Methods and Models (9 papers), Optimal Experimental Design Methods (8 papers) and Statistical and numerical algorithms (6 papers). Donald G. Watts collaborates with scholars based in Canada, United States and Netherlands. Donald G. Watts's co-authors include Douglas M. Bates, Gwilym M. Jenkins, Walter Freiberger, David A. Ratkowsky, D. W. Bacon, Paul H. Randolph, David C. Hamilton, George A. F. Seber, C. Wild and Robert E. Kass and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Donald G. Watts

71 papers receiving 8.5k citations

Hit Papers

Spectral Analysis and its Applications. 1969 2026 1988 2007 1969 1988 1984 1971 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Donald G. Watts Canada 25 1.1k 1.0k 838 708 706 74 9.7k
Frank J. Massey United States 27 1.1k 1.0× 689 0.7× 623 0.7× 336 0.5× 302 0.4× 53 15.5k
Robert H. Shumway United States 30 981 0.9× 728 0.7× 939 1.1× 722 1.0× 420 0.6× 99 10.3k
R. Mead United Kingdom 21 1.2k 1.0× 934 0.9× 608 0.7× 1.5k 2.1× 405 0.6× 49 23.6k
Susan J. Devlin United States 12 764 0.7× 712 0.7× 466 0.6× 273 0.4× 274 0.4× 15 5.9k
G. S. Watson United States 39 570 0.5× 1.7k 1.6× 1.0k 1.2× 332 0.5× 188 0.3× 139 9.6k
Richard J. Beckman United States 22 1.3k 1.1× 954 0.9× 651 0.8× 784 1.1× 168 0.2× 73 16.2k
George A. F. Seber New Zealand 33 2.1k 1.8× 2.9k 2.9× 345 0.4× 407 0.6× 351 0.5× 92 14.1k
David R. Brillinger United States 44 784 0.7× 1.7k 1.7× 320 0.4× 1.4k 2.0× 337 0.5× 189 13.4k
Peter Bloomfield United States 31 1.4k 1.2× 693 0.7× 1.8k 2.2× 331 0.5× 403 0.6× 81 6.5k
Donald W. Marquardt United States 19 1.2k 1.1× 1.2k 1.1× 1.1k 1.3× 1.7k 2.4× 573 0.8× 37 30.0k

Countries citing papers authored by Donald G. Watts

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Brooks, Ian, et al.. (1994). [21] Determining confidence intervals for parameters derived from analysis of equilibrium analytical ultracentrifugation data. Methods in enzymology on CD-ROM/Methods in enzymology. 240. 459–478. 26 indexed citations
2.
Watts, Donald G.. (1991). Why is Introductory Statistics Difficult to Learn? And What Can We Do to Make it Easier?. The American Statistician. 45(4). 290–291. 51 indexed citations
3.
Milliken, George A., Douglas M. Bates, & Donald G. Watts. (1990). Nonlinear Regression Analysis and Its Applications. Technometrics. 32(2). 219–219. 47 indexed citations
4.
Armstrong, Paul W., et al.. (1988). Randomized trial of prostacyclin infusion in acute myocardial infarction. The American Journal of Cardiology. 61(6). 455–457. 8 indexed citations
5.
Bates, Douglas M. & Donald G. Watts. (1988). Nonlinear Regression Analysis and Its Applications. Wiley series in probability and statistics. 3010 indexed citations breakdown →
6.
Beal, Stuart L., Lewis B. Sheiner, Douglas M. Bates, & Donald G. Watts. (1986). Discussion of Bates and Watts (1985). Technometrics. 28(4). 407–407. 1 indexed citations
7.
Havriliak, S. & Donald G. Watts. (1986). Comparing graphical and statistical methods for analysing dielectric dispersions of polymers represented in the complex plane. Polymer. 27(10). 1509–1512. 36 indexed citations
8.
Bates, Douglas M. & Donald G. Watts. (1985). Multiresponse Estimation With Special Application to Linear Systems of Differential Equations. Technometrics. 27(4). 329–339. 36 indexed citations
9.
Watts, Donald G., et al.. (1984). Applications of Discrete and Continuous Fourier Analysis.. Journal of the American Statistical Association. 79(387). 737–737. 84 indexed citations
10.
Bates, Douglas M., David C. Hamilton, & Donald G. Watts. (1983). Calculation of intrinsic and parameter-effects curvatures for nonlinear regression models. Communications in Statistics - Simulation and Computation. 12(4). 469–477. 29 indexed citations
11.
Griffin, Malcolm, et al.. (1982). Deriving the Normal and Exponential Densities Using EDA Techniques. The American Statistician. 36(4). 373–373.
12.
Watts, Donald G.. (1981). A Task-Analysis Approach to Designing a Regression Analysis Course. The American Statistician. 35(2). 77–84. 1 indexed citations
13.
Armstrong, Paul W., et al.. (1979). Quantification of myocardial infarction: template model for serial creatine kinase analysis.. Circulation. 60(4). 856–865. 5 indexed citations
14.
Hamilton, David C. & Donald G. Watts. (1978). Interpreting partial autocorrelation functions of seasonal time series models. Biometrika. 65(1). 135–140. 29 indexed citations
15.
Watts, Donald G. & D. W. Bacon. (1974). Using an Hyperbola as a Transition Model to Fit Two-Regime Straight-Line Data. Technometrics. 16(3). 369–369. 10 indexed citations
16.
Watts, Donald G. & D. W. Bacon. (1974). Using An Hyperbola as a Transition Model to Fit Two-Regime Straight-Line Data. Technometrics. 16(3). 369–373. 38 indexed citations
17.
Jenkins, Gwilym M., et al.. (1971). Спектральный анализ и его приложения. 1 indexed citations
18.
Bacon, D. W. & Donald G. Watts. (1971). Estimating the Transition between Two Intersecting Straight Lines. Biometrika. 58(3). 525–525. 8 indexed citations
19.
Leuthold, Raymond M., et al.. (1970). Forecasting Daily Hog Prices and Quantities: A Study of Alternative Forecasting Techniques. Journal of the American Statistical Association. 65(329). 90–107. 40 indexed citations
20.
Pinsker, M.S., Amiel Feinstein, Yu. A. Rozanov, et al.. (1970). Information and Information Stabilility of Random Variables and Processes. Journal of Marketing Research. 7(3). 401–401. 1 indexed citations

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.

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