G. S. Watson

14.2k total citations · 4 hit papers
139 papers, 9.6k citations indexed

About

G. S. Watson is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, G. S. Watson has authored 139 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Statistics and Probability and 15 papers in Molecular Biology. Recurrent topics in G. S. Watson's work include Soil Geostatistics and Mapping (12 papers), Human-Automation Interaction and Safety (11 papers) and Geomagnetism and Paleomagnetism Studies (9 papers). G. S. Watson is often cited by papers focused on Soil Geostatistics and Mapping (12 papers), Human-Automation Interaction and Safety (11 papers) and Geomagnetism and Paleomagnetism Studies (9 papers). G. S. Watson collaborates with scholars based in United States, Australia and Canada. G. S. Watson's co-authors include J. Durbin, M. R. Leadbetter, Alan Stuart, M. G. Kendall, Keith Ord, Ernst Caspari, E. J. Williams, Lisa Tauxe, E. Irving and Javier Cabrera and has published in prestigious journals such as Nature, The Lancet and Journal of Geophysical Research Atmospheres.

In The Last Decade

G. S. Watson

133 papers receiving 8.4k citations

Hit Papers

TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSIO... 1951 2026 1976 2001 1951 1973 1984 1959 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. S. Watson United States 39 1.7k 1.2k 1.1k 1.0k 995 139 9.6k
Donald G. Watts Canada 25 1.0k 0.6× 623 0.5× 674 0.6× 838 0.8× 441 0.4× 74 9.7k
R. Mead United Kingdom 21 934 0.6× 1.6k 1.3× 2.4k 2.2× 608 0.6× 594 0.6× 49 23.6k
Donald W. Marquardt United States 19 1.2k 0.7× 2.7k 2.3× 1.8k 1.7× 1.1k 1.1× 1.6k 1.6× 37 30.0k
David R. Brillinger United States 44 1.7k 1.0× 437 0.4× 1.7k 1.5× 320 0.3× 867 0.9× 189 13.4k
D. B. Owen United States 29 2.1k 1.3× 551 0.5× 1.4k 1.2× 319 0.3× 419 0.4× 112 18.6k
Kanti V. Mardia United Kingdom 48 2.5k 1.5× 963 0.8× 2.4k 2.3× 405 0.4× 342 0.3× 205 13.5k
Frank J. Massey United States 27 689 0.4× 1.6k 1.3× 1.2k 1.1× 623 0.6× 294 0.3× 53 15.5k
J. Aitchison United Kingdom 39 2.4k 1.4× 1.5k 1.2× 5.8k 5.4× 957 0.9× 1.3k 1.3× 94 15.7k
Samuel S. Shapiro United States 18 1.7k 1.0× 1.4k 1.2× 1.2k 1.1× 494 0.5× 139 0.1× 35 20.6k
Bernard W. Silverman United Kingdom 45 4.5k 2.7× 1.1k 0.9× 2.7k 2.5× 607 0.6× 226 0.2× 104 15.6k

Countries citing papers authored by G. S. Watson

Since Specialization
Citations

This map shows the geographic impact of G. S. Watson'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 G. S. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. S. Watson more than expected).

Fields of papers citing papers by G. S. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. S. Watson. 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 G. S. Watson. The network helps show where G. S. Watson may publish in the future.

Co-authorship network of co-authors of G. S. Watson

This figure shows the co-authorship network connecting the top 25 collaborators of G. S. Watson. A scholar is included among the top collaborators of G. S. Watson 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 G. S. Watson. G. S. Watson 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.
Hagiwara, Nao, et al.. (2024). The nature and validity of implicit bias training for health care providers and trainees: A systematic review. Science Advances. 10(33). eado5957–eado5957. 8 indexed citations
2.
Leary, Heather, et al.. (2023). The AECT Centennial: Origins, Trends, and Implications for the Future of Educational Technology. TechTrends. 67(5). 764–766.
3.
Datta, Debajyoti, et al.. (2021). Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. 185–198. 7 indexed citations
4.
Hagiwara, Nao, Frederick W Kron, Mark W. Scerbo, & G. S. Watson. (2020). A call for grounding implicit bias training in clinical and translational frameworks. The Lancet. 395(10234). 1457–1460. 115 indexed citations
5.
Morrison, Jennifer, Linda Bol, Steven M. Ross, & G. S. Watson. (2015). Paraphrasing and prediction with self-explanation as generative strategies for learning science principles in a simulation. Educational Technology Research and Development. 63(6). 861–882. 14 indexed citations
6.
Romero‐Hall, Enilda, et al.. (2014). Using Physiological Measures to Assess the Effects of Animated Pedagogical Agents on Multimedia Instruction. Journal of educational multimedia and hypermedia. 23(4). 359–384. 10 indexed citations
7.
Watson, G. S., et al.. (2013). The Motivational Design of Instructional Simulations. 3(2). 41–51. 2 indexed citations
8.
Papelis, Yiannis, G. S. Watson, & Timothy L. Brown. (2010). An empirical study of the effectiveness of electronic stability control system in reducing loss of vehicle control. Accident Analysis & Prevention. 42(3). 929–934. 31 indexed citations
9.
Belfore, Lee A., et al.. (2009). Introducing digital logic and electronics concepts in a game-like environment. Spring Simulation Multiconference. 102. 3 indexed citations
11.
Ranney, Thomas A., et al.. (2006). Investigation of Driver Reactions to Tread Separation Scenarios in the National Advanced Driving Simulator. 16(4). 29–43. 6 indexed citations
12.
Papelis, Yiannis, et al.. (2005). Driving Simulation Scenario Definition Based on Performance Measures. 30(5). 545–53. 2 indexed citations
13.
Watson, G. S., et al.. (2003). TRANSPORTATION SAFETY RESEARCH APPLICATIONS UTILIZING HIGH-FIDELITY DRIVING SIMULATION. WIT transactions on the built environment. 64. 1 indexed citations
14.
Watson, G. S., et al.. (1995). Confidence limits and bias correction for estimating angles between directions with applications to paleomagnetism. Journal of Geophysical Research Atmospheres. 100(B12). 24405–24429. 45 indexed citations
15.
Chikuse, Yasuko & G. S. Watson. (1995). Large Sample Asymptotic Theory of Tests for Uniformity on the Grassmann Manifold. Journal of Multivariate Analysis. 54(1). 18–31. 8 indexed citations
16.
Cabrera, Javier & G. S. Watson. (1990). On a spherical median related distribution. Communication in Statistics- Theory and Methods. 19(6). 1973–1986. 3 indexed citations
17.
Watson, G. S. & Rudolf Beran. (1967). Testing a sequence of unit vectors for serial correlation. Journal of Geophysical Research Atmospheres. 72(22). 5655–5659. 48 indexed citations
18.
Watson, G. S.. (1961). Goodness-of-fit tests on a circle. Biometrika. 48(1-2). 109–114. 236 indexed citations
19.
Watson, G. S. & Ernst Caspari. (1960). THE BEHAVIOR OF CYTOPLASMIC POLLEN STERILITY IN POPULATIONS. Evolution. 14(1). 56–63. 21 indexed citations
20.
Watson, G. S.. (1958). On Goldberg’s Theory of the Precipitin Reaction. The Journal of Immunology. 80(3). 182–185. 6 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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