Jim E. Griffin

5.6k total citations
138 papers, 3.5k citations indexed

About

Jim E. Griffin is a scholar working on Artificial Intelligence, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, Jim E. Griffin has authored 138 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 45 papers in Statistics and Probability and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Jim E. Griffin's work include Bayesian Methods and Mixture Models (48 papers), Statistical Methods and Inference (38 papers) and Particle accelerators and beam dynamics (31 papers). Jim E. Griffin is often cited by papers focused on Bayesian Methods and Mixture Models (48 papers), Statistical Methods and Inference (38 papers) and Particle accelerators and beam dynamics (31 papers). Jim E. Griffin collaborates with scholars based in United Kingdom, United States and Cyprus. Jim E. Griffin's co-authors include Mark F. J. Steel, Philip J. Brown, Maria Kalli, Jean D. Wilson, David W. Russell, Stephen G. Walker, Marco Marcelli, Michael J. McPhaul, David L. Wild and Roel C. A. Oomen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of the American Statistical Association.

In The Last Decade

Jim E. Griffin

130 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim E. Griffin United Kingdom 32 1.1k 955 932 579 523 138 3.5k
Joanna H. Shih United States 54 2.4k 2.1× 314 0.3× 762 0.8× 113 0.2× 313 0.6× 170 9.7k
Steven F. Arnold United States 35 781 0.7× 173 0.2× 760 0.8× 135 0.2× 1.0k 2.0× 84 3.9k
Philip J. Brown United Kingdom 39 829 0.7× 700 0.7× 1.4k 1.5× 28 0.0× 349 0.7× 134 5.1k
Gábor J. Székely Hungary 28 599 0.5× 849 0.9× 1.0k 1.1× 12 0.0× 124 0.2× 113 4.3k
J. Sunil Rao United States 20 497 0.4× 335 0.4× 474 0.5× 37 0.1× 165 0.3× 77 1.9k
Arnoldo Frigessi Norway 30 955 0.8× 501 0.5× 732 0.8× 20 0.0× 410 0.8× 121 4.5k
G. E. Thomas United Kingdom 14 844 0.7× 123 0.1× 338 0.4× 38 0.1× 269 0.5× 29 2.7k
L. Kaufman Belgium 25 234 0.2× 636 0.7× 75 0.1× 263 0.5× 360 0.7× 60 3.0k
Hao Helen Zhang United States 32 747 0.7× 983 1.0× 1.9k 2.0× 18 0.0× 302 0.6× 114 4.5k
Matt Davison Canada 36 3.2k 2.8× 92 0.1× 27 0.0× 289 0.5× 265 0.5× 160 6.0k

Countries citing papers authored by Jim E. Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Jim E. Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim E. Griffin. 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 Jim E. Griffin. The network helps show where Jim E. Griffin may publish in the future.

Co-authorship network of co-authors of Jim E. Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Jim E. Griffin. A scholar is included among the top collaborators of Jim E. Griffin 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 Jim E. Griffin. Jim E. Griffin 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.
Matechou, Eleni, Jim E. Griffin, Douglas W. Yu, et al.. (2024). eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring. Journal of the American Statistical Association. 120(549). 120–134. 1 indexed citations
2.
Livingstone, Samuel, et al.. (2023). Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models. Entropy. 25(9). 1310–1310. 1 indexed citations
3.
Hopker, James, et al.. (2023). Competitive performance as a discriminator of doping status in elite athletes. Drug Testing and Analysis. 16(5). 473–481. 4 indexed citations
4.
Matechou, Eleni, et al.. (2022). A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior. Biometrics. 79(3). 2171–2183. 1 indexed citations
5.
Buxton, Andrew S., et al.. (2022). Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale. Scientific Reports. 12(1). 1295–1295. 9 indexed citations
6.
Matechou, Eleni, et al.. (2021). An RShiny app for modelling environmental DNA data: accounting for false positive and false negative observation error. Ecography. 44(12). 1838–1844. 19 indexed citations
7.
Buxton, Andrew S., et al.. (2021). Optimising sampling and analysis protocols in environmental DNA studies. Scientific Reports. 11(1). 11637–11637. 47 indexed citations
8.
Cunningham, Nathan, Jim E. Griffin, & David L. Wild. (2020). ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification. Advances in Data Analysis and Classification. 14(2). 463–484. 4 indexed citations
9.
Griffin, Jim E.. (2015). Sequential Monte Carlo methods for mixtures with normalized random measures with independent increments priors. Statistics and Computing. 27(1). 131–145. 6 indexed citations
10.
Griffin, Jim E. & Roel C. A. Oomen. (2006). Sampling Returns for Realized Variance Calculations: Tick Time or Transaction Time?. SSRN Electronic Journal. 3 indexed citations
11.
Harkay, K., R. Macek, T. Spickermann, et al.. (2001). Electron Proton Two-Stream Instability at the PSR (Invited). Presented at. 688–692. 1 indexed citations
12.
Macek, R., et al.. (2001). ELECTRON PROTON TWO-STREAM INSTABILITY AT THE PROTON STORAGE RING (PSR). University of North Texas Digital Library (University of North Texas). 2 indexed citations
13.
Green, Linda K. & Jim E. Griffin. (1996). Increased Natural Killer Cells in Fluids. Acta Cytologica. 40(6). 1240–1245. 17 indexed citations
14.
Marcelli, Marco, S. Zoppi, Carol M. Wilson, Jim E. Griffin, & Michael J. McPhaul. (1994). Amino acid substitutions in the hormone-binding domain of the human androgen receptor alter the stability of the hormone receptor complex.. Journal of Clinical Investigation. 94(4). 1642–1650. 48 indexed citations
15.
Griffin, Jim E., et al.. (1993). Steroid 5α-Reductase 2 Deficiency*. Endocrine Reviews. 14(5). 577–593. 262 indexed citations
16.
Zoppi, S., Carol M. Wilson, Madeleine D. Harbison, et al.. (1993). Complete testicular feminization caused by an amino-terminal truncation of the androgen receptor with downstream initiation.. Journal of Clinical Investigation. 91(3). 1105–1112. 65 indexed citations
17.
Marcelli, Marco, S. Zoppi, Placido B. Grino, et al.. (1991). A mutation in the DNA-binding domain of the androgen receptor gene causes complete testicular feminization in a patient with receptor-positive androgen resistance.. Journal of Clinical Investigation. 87(3). 1123–1126. 76 indexed citations
18.
McPhaul, Michael J., et al.. (1991). Molecular basis of androgen resistance in a family with a qualitative abnormality of the androgen receptor and responsive to high-dose androgen therapy.. Journal of Clinical Investigation. 87(4). 1413–1421. 105 indexed citations
19.
Griffin, Jim E. & J. D. Wilson. (1979). Testicular feminization due to a qualitatively abnormal androgen receptor. Clinical research. 27(2). 1 indexed citations
20.
Griffin, Jim E. & Jean D. Wilson. (1978). The clinical spectrum associated with deficiency of the androgen receptor. Clinical research. 26(3). 2 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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