Jim E. Griffin
- Molecular Biology top 10%
- Artificial Intelligence top 1%
- Statistics and Probability top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Co-authors
- Mark F. J. SteelPhilip J. BrownMaria KalliJean D. WilsonDavid W. RussellStephen G. WalkerMarco MarcelliMichael J. McPhaul
- Topics
- Bayesian Methods and Mixture Models (48 papers)Statistical Methods and Inference (38 papers)Particle accelerators and beam dynamics (31 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of the American Statistical Association
- Partner nations
- United KingdomUnited StatesCyprus
In The Last Decade
Jim E. Griffin
130 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 166
- Molecular Biology 1.1k
- Artificial Intelligence 955
- Statistics and Probability 932
- Endocrinology, Diabetes and Metabolism 579
- Genetics 523
Countries citing papers authored by Jim E. Griffin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 47 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | Sampling Returns for Realized Variance Calculations: Tick Time or Transaction Time? | 3 |
| 11 | Electron Proton Two-Stream Instability at the PSR (Invited) | 1 |
| 12 | ELECTRON PROTON TWO-STREAM INSTABILITY AT THE PROTON STORAGE RING (PSR) | 2 |
| 13 | 17 | |
| 14 | 48 | |
| 15 | 262 | |
| 16 | 65 | |
| 17 | 76 | |
| 18 | 105 | |
| 19 | Testicular feminization due to a qualitatively abnormal androgen receptor | 1 |
| 20 | The clinical spectrum associated with deficiency of the androgen receptor | 2 |
About Jim E. Griffin
Jim E. Griffin is a scholar working on Statistics and Probability, Finance and Computational Mathematics, having authored 138 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (48 papers), Statistical Methods and Inference (38 papers) and Particle accelerators and beam dynamics (31 papers). The work is most often cited by research in Statistics and Probability (932 citations), Finance (448 citations) and Endocrinology, Diabetes and Metabolism (579 citations). Jim E. Griffin has collaborated with scholars based in United Kingdom, United States and Cyprus. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of the American Statistical Association.
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.