G. À. Whitmore

4.8k total citations · 2 hit papers
73 papers, 3.0k citations indexed

About

G. À. Whitmore is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, G. À. Whitmore has authored 73 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 13 papers in Economics and Econometrics. Recurrent topics in G. À. Whitmore's work include Statistical Distribution Estimation and Applications (14 papers), Statistical Methods and Bayesian Inference (13 papers) and Statistical Methods and Inference (12 papers). G. À. Whitmore is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Statistical Methods and Bayesian Inference (13 papers) and Statistical Methods and Inference (12 papers). G. À. Whitmore collaborates with scholars based in Canada, United States and Australia. G. À. Whitmore's co-authors include Mei‐Ling Ting Lee, Fred Schenkelberg, Frank C. Kuo, Jeffrey Sklar, M. Chapman Findlay, Philip Hougaard, Shawn D. Aaron, J. Keith Ord, V. Seshadri and Morty Yalovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and American Economic Review.

In The Last Decade

G. À. Whitmore

68 papers receiving 2.8k citations

Hit Papers

Importance of replication in microarray gene expression s... 1997 2026 2006 2016 2000 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. À. Whitmore Canada 25 1.0k 764 754 434 355 73 3.0k
Mei‐Ling Ting Lee United States 29 878 0.8× 2.0k 2.6× 194 0.3× 165 0.4× 300 0.8× 103 5.2k
Martin Crowder United Kingdom 26 1.1k 1.0× 90 0.1× 515 0.7× 360 0.8× 159 0.4× 77 2.4k
Bo Henry Lindqvist Norway 20 652 0.6× 143 0.2× 515 0.7× 334 0.8× 156 0.4× 78 1.4k
Hon Keung Tony Ng United States 30 2.3k 2.2× 177 0.2× 877 1.2× 1.5k 3.6× 370 1.0× 183 3.6k
G. K. Bhattacharyya United States 24 1.2k 1.1× 86 0.1× 439 0.6× 786 1.8× 224 0.6× 58 2.6k
Luis A. Escobar United States 24 1.5k 1.5× 84 0.1× 1.4k 1.9× 1.3k 2.9× 405 1.1× 76 3.4k
Ray E. Schafer United States 14 1.7k 1.7× 41 0.1× 777 1.0× 1.2k 2.8× 335 0.9× 44 3.6k
Jerry Lawless Canada 10 1.4k 1.3× 36 0.0× 524 0.7× 367 0.8× 110 0.3× 17 2.2k
Xiaohu Li China 33 1.8k 1.8× 34 0.0× 1.1k 1.5× 1.1k 2.6× 666 1.9× 235 3.4k
Dimitris Karlis Greece 30 1.3k 1.3× 140 0.2× 272 0.4× 219 0.5× 391 1.1× 124 3.3k

Countries citing papers authored by G. À. Whitmore

Since Specialization
Citations

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

Fields of papers citing papers by G. À. Whitmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. À. Whitmore

This figure shows the co-authorship network connecting the top 25 collaborators of G. À. Whitmore. A scholar is included among the top collaborators of G. À. Whitmore 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. À. Whitmore. G. À. Whitmore 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.
Lee, Mei‐Ling Ting & G. À. Whitmore. (2023). Semiparametric predictive inference for failure data using first-hitting-time threshold regression. Lifetime Data Analysis. 29(3). 508–536. 1 indexed citations
2.
Lee, Mei‐Ling Ting, John Lawrence, Yiming Chen, & G. À. Whitmore. (2022). Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time. Lifetime Data Analysis. 28(4). 637–658. 2 indexed citations
3.
Lee, Mei‐Ling Ting, G. À. Whitmore, & R. Yu. Yukhananov. (2021). Analysis of Unbalanced Microarray Data. Journal of Data Science. 1(2). 103–121. 1 indexed citations
4.
Whitmore, G. À., Katherine L. Vandemheen, J. Mark FitzGerald, et al.. (2020). Population-based case-finding to identify subjects with undiagnosed asthma or COPD. European Respiratory Journal. 55(6). 2000024–2000024. 19 indexed citations
5.
Whitmore, G. À., et al.. (2019). Placebo Effects in Clinical Trials Evaluating Patients with Uncontrolled Persistent Asthma. Annals of the American Thoracic Society. 16(9). 1124–1130. 17 indexed citations
6.
Whitmore, G. À.. (2016). Third-Degree Stochastic Dominance. American Economic Review. 60(3). 457–459. 67 indexed citations
7.
Stephenson, Anne L., Yves Berthiaume, L.G. Singer, et al.. (2014). A contemporary survival analysis of individuals with cystic fibrosis: a cohort study. European Respiratory Journal. 45(3). 670–679. 134 indexed citations
8.
Whitmore, G. À., Tim Ramsay, & Shawn D. Aaron. (2012). Recurrent first hitting times in Wiener diffusion under several observation schemes. Lifetime Data Analysis. 18(2). 157–176. 6 indexed citations
9.
Aaron, Shawn D., Tim Ramsay, Katherine L. Vandemheen, & G. À. Whitmore. (2010). A threshold regression model for recurrent exacerbations in chronic obstructive pulmonary disease. Journal of Clinical Epidemiology. 63(12). 1324–1331. 13 indexed citations
10.
Lee, Mei‐Ling Ting, G. À. Whitmore, & Bernard Rosner. (2010). Threshold regression for survival data with time‐varying covariates. Statistics in Medicine. 29(7-8). 896–905. 27 indexed citations
11.
Whitmore, G. À. & Yi Su. (2007). Modeling low birth weights using threshold regression: results for U. S. birth data. Lifetime Data Analysis. 13(2). 161–190. 13 indexed citations
12.
Lee, Mei‐Ling Ting & G. À. Whitmore. (2002). Power and sample size for DNA microarray studies. Statistics in Medicine. 21(23). 3543–3570. 129 indexed citations
13.
Lee, Mei‐Ling Ting & G. À. Whitmore. (1999). Statistical Inference for Serial Dilution Assay Data. Biometrics. 55(4). 1215–1220. 12 indexed citations
14.
Whitmore, G. À. & Fred Schenkelberg. (1997). Modelling Accelerated Degradation Data Using Wiener Diffusion With A Time Scale Transformation. Lifetime Data Analysis. 3(1). 27–45. 357 indexed citations breakdown →
15.
Whitmore, G. À.. (1995). Estimating degradation by a wiener diffusion process subject to measurement error. Lifetime Data Analysis. 1(3). 307–319. 237 indexed citations
16.
Cole, Bernard F., Mei‐Ling Ting Lee, G. À. Whitmore, & Alan M. Zaslavsky. (1995). An Empirical Bayes Model for Markov-Dependent Binary Sequences with Randomly Missing Observations. Journal of the American Statistical Association. 90(432). 1364–1364. 3 indexed citations
17.
Jørgensen, Bent, V. Seshadri, & G. À. Whitmore. (1991). On the mixture of the inverse Gaussian distribution with its complementary reciprocal. Scandinavian Journal of Statistics. 18(1). 77–89. 38 indexed citations
18.
Whitmore, G. À. & M. Chapman Findlay. (1978). Stochastic dominance : an approach to decision-making under risk. Lexington Books. 155 indexed citations
19.
Eaton, William W. & G. À. Whitmore. (1977). Length of stay as a stochastic process: A general approach and application to hospitalization for schizophrenia. Journal of Mathematical Sociology. 5(2). 273–292. 37 indexed citations
20.
Whitmore, G. À.. (1977). Impact of Farm Size on the Bidding Potential for Agricultural Land: Comment. American Journal of Agricultural Economics. 59(2). 385–387. 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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