Garritt L. Page

445 total citations
28 papers, 253 citations indexed

About

Garritt L. Page is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Garritt L. Page has authored 28 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 6 papers in Environmental Engineering. Recurrent topics in Garritt L. Page's work include Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Garritt L. Page is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Garritt L. Page collaborates with scholars based in United States, Chile and United Kingdom. Garritt L. Page's co-authors include Fernando A. Quintana, C. Shane Reese, Matthew K. Seeley, J. Ty Hopkins, Gilbert W. Fellingham, Bradley J. Barney, Zhuoqiong He, Yajun Liu, Dustin A. Bruening and Robert E. Larson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Garritt L. Page

26 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garritt L. Page United States 10 72 66 61 58 23 28 253
Luiz Eduardo Barreto Martins Brazil 10 316 4.4× 195 3.0× 6 0.1× 7 0.1× 85 3.7× 27 459
Vangelis Sarlis Greece 8 145 2.0× 136 2.1× 3 0.0× 33 0.6× 27 1.2× 16 244
Daniel Haak Germany 9 4 0.1× 19 0.3× 10 0.2× 34 0.6× 41 1.8× 16 331
Jinadasa Gamage United States 7 6 0.1× 8 0.1× 102 1.7× 14 0.2× 2 0.1× 13 308
Ricardo de Oliveira Anido Brazil 8 408 5.7× 135 2.0× 5 0.1× 14 0.2× 112 4.9× 12 508
Yevgen Tymofyeyev United States 12 17 0.2× 54 0.8× 240 3.9× 2 0.0× 49 2.1× 18 412
László Viharos Hungary 5 16 0.2× 14 0.2× 29 0.5× 5 0.1× 5 0.2× 7 212
George Dounias Greece 7 9 0.1× 23 0.3× 6 0.1× 127 2.2× 9 0.4× 18 218
Carlo Dindorf Germany 8 31 0.4× 23 0.3× 51 0.9× 49 2.1× 36 224
Yi‐Kuan Tseng Taiwan 10 42 0.6× 259 4.2× 58 1.0× 25 1.1× 31 668

Countries citing papers authored by Garritt L. Page

Since Specialization
Citations

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

Fields of papers citing papers by Garritt L. Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garritt L. Page. 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 Garritt L. Page. The network helps show where Garritt L. Page may publish in the future.

Co-authorship network of co-authors of Garritt L. Page

This figure shows the co-authorship network connecting the top 25 collaborators of Garritt L. Page. A scholar is included among the top collaborators of Garritt L. Page 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 Garritt L. Page. Garritt L. Page 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.
Page, Garritt L., et al.. (2024). Non-parametric Bayesian approach to multiple treatment comparisons in network meta-analysis with application to comparisons of anti-depressants. Journal of the Royal Statistical Society Series C (Applied Statistics). 73(5). 1333–1354. 1 indexed citations
2.
Page, Garritt L., Ernesto San Martı́n, David Torres Irribarra, & Sébastien Van Bellegem. (2024). Temporally Dynamic, Cohort-Varying Value-Added Models. Psychometrika. 89(3). 1074–1103. 1 indexed citations
3.
Allen, Steven P., Garritt L. Page, Dustin A. Bruening, et al.. (2024). Relationships Between Running Biomechanics and Femoral Articular Cartilage Thickness and Composition in Anterior Cruciate Ligament Reconstruction Patients. Scandinavian Journal of Medicine and Science in Sports. 34(6). e14675–e14675. 1 indexed citations
4.
Page, Garritt L., et al.. (2024). A Projection Approach to Local Regression with Variable-Dimension Covariates. Journal of Computational and Graphical Statistics. 34(1). 109–122.
5.
Page, Garritt L., et al.. (2022). Joint Random Partition Models for Multivariate Change Point Analysis. Bayesian Analysis. 19(1). 5 indexed citations
6.
Guan, Yawen, et al.. (2022). Spectral adjustment for spatial confounding. Biometrika. 110(3). 699–719. 11 indexed citations
7.
Page, Garritt L., et al.. (2021). Effects of balance training with stroboscopic glasses on postural control in chronic ankle instability patients. Scandinavian Journal of Medicine and Science in Sports. 32(3). 576–587. 38 indexed citations
8.
Quintana, Fernando A., et al.. (2020). On a class of repulsive mixture models. Test. 30(2). 445–461. 3 indexed citations
9.
Page, Garritt L., María Xosé Rodríguez‐Álvarez, & Dae‐Jin Lee. (2020). Bayesian Hierarchical Modelling of Growth Curve Derivatives via Sequences of Quotient Differences. Journal of the Royal Statistical Society Series C (Applied Statistics). 69(2). 459–481. 5 indexed citations
10.
Page, Garritt L., et al.. (2020). Template Priors in Bayesian Curve Registration. Technometrics. 63(4). 487–499. 9 indexed citations
11.
Hopkins, J. Ty, S. Jun Son, Hyunsoo Kim, Garritt L. Page, & Matthew K. Seeley. (2019). Characterization of Multiple Movement Strategies in Participants With Chronic Ankle Instability. Journal of Athletic Training. 54(6). 698–707. 19 indexed citations
12.
Mitchell, Ulrike H., Paul D. Stoneman, Robert E. Larson, & Garritt L. Page. (2018). The Construction of Sham Dry Needles and Their Validity. Evidence-based Complementary and Alternative Medicine. 2018(1). 9567061–9567061. 19 indexed citations
13.
Page, Garritt L., et al.. (2018). Density regression using repulsive distributions. Journal of Statistical Computation and Simulation. 88(15). 2931–2947. 3 indexed citations
14.
Quintana, Fernando A., et al.. (2017). Nonparametric Bayesian inference in applications. Statistical Methods & Applications. 27(2). 175–206. 15 indexed citations
15.
Page, Garritt L., Abhishek Bhattacharya, & David B. Dunson. (2013). Classification via Bayesian Nonparametric Learning of Affine Subspaces. Journal of the American Statistical Association. 108(501). 187–201. 8 indexed citations
16.
Page, Garritt L., et al.. (2013). Effect of position, usage rate, and per game minutes played on NBA player production curves. Journal of Quantitative Analysis in Sports. 0(0). 1–9. 17 indexed citations
17.
Page, Garritt L. & Stephen B. Vardeman. (2012). A Bayesian Approach to Establishing a Reference Particle Size Distribution in the Presence of Outliers. Mathematical Geosciences. 44(6). 721–737. 2 indexed citations
18.
Page, Garritt L. & David B. Dunson. (2011). Bayesian Local Contamination Models for Multivariate Outliers. Technometrics. 53(2). 152–162. 1 indexed citations
19.
Page, Garritt L. & Stephen B. Vardeman. (2010). Using Bayes methods and mixture models in inter-laboratory studies with outliers. Accreditation and Quality Assurance. 15(7). 379–389. 3 indexed citations
20.
Page, Garritt L., Gilbert W. Fellingham, & C. Shane Reese. (2007). Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games. Journal of Quantitative Analysis in Sports. 3(4). 26 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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