Leah R. Jager
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 5%
- Cognitive Neuroscience
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Jeffrey T. LeekJon A. WellnerAnja SoldanAmanda N. FaderEdward J. TannerLauren ThomaierRebecca L. StoneStephanie L. Wethington
- Topics
- Meta-analysis and systematic reviews (3 papers)Statistical Methods in Clinical Trials (3 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineThe Annals of Statistics
- Partner nations
- United StatesSaudi ArabiaGermany
In The Last Decade
Leah R. Jager
20 papers receiving 403 citations
Peers
Comparison fields: 5 of 109
- Statistics and Probability 115
- Statistics, Probability and Uncertainty 83
- Cognitive Neuroscience 62
- Molecular Biology 53
- Artificial Intelligence 51
Countries citing papers authored by Leah R. Jager
This map shows the geographic impact of Leah R. Jager'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 Leah R. Jager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah R. Jager more than expected).
Fields of papers citing papers by Leah R. Jager
This network shows the impact of papers produced by Leah R. Jager. 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 Leah R. Jager. The network helps show where Leah R. Jager may publish in the future.
Co-authorship network of co-authors of Leah R. Jager
This figure shows the co-authorship network connecting the top 25 collaborators of Leah R. Jager. A scholar is included among the top collaborators of Leah R. Jager 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 Leah R. Jager. Leah R. Jager 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 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 30 | |
| 12 | 7 | |
| 13 | 38 | |
| 14 | 63 | |
| 15 | 109 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 85 | |
| 20 | A new goodness of fit test: the reversed Berk-Jones statistic | 11 |
About Leah R. Jager
Leah R. Jager is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Behavioral Neuroscience, having authored 22 papers that have together received 413 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Statistical Methods in Clinical Trials (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Statistics and Probability (115 citations), Statistics, Probability and Uncertainty (83 citations) and Obstetrics and Gynecology (27 citations). Leah R. Jager has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include Jeffrey T. Leek, Jon A. Wellner, Anja Soldan, Amanda N. Fader, Edward J. Tanner, Lauren Thomaier, Rebecca L. Stone, Stephanie L. Wethington, Leslie Myint and Julie Nanavati. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and The Annals of Statistics.
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.