Jeffrey W. Miller
- Artificial Intelligence top 5%
- Statistics and Probability top 2%
- Physiology
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Matthew Tom HarrisonDavid B. DunsonEugene C. FletcherJoel G. FletcherBernard R. BendokZhuo-Wei HuBenson P. YangStefan A. Mindea
- Topics
- Bayesian Methods and Mixture Models (8 papers)Intracranial Aneurysms: Treatment and Complications (8 papers)Vascular Malformations Diagnosis and Treatment (6 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Jeffrey W. Miller
33 papers receiving 604 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 223
- Statistics and Probability 153
- Physiology 138
- Pulmonary and Respiratory Medicine 119
- Neurology 81
Countries citing papers authored by Jeffrey W. Miller
This map shows the geographic impact of Jeffrey W. Miller'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 Jeffrey W. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey W. Miller more than expected).
Fields of papers citing papers by Jeffrey W. Miller
This network shows the impact of papers produced by Jeffrey W. Miller. 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 Jeffrey W. Miller. The network helps show where Jeffrey W. Miller may publish in the future.
Co-authorship network of co-authors of Jeffrey W. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey W. Miller. A scholar is included among the top collaborators of Jeffrey W. Miller 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 Jeffrey W. Miller. Jeffrey W. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 6 | |
| 16 | Flexible Models for Microclustering with Application to Entity Resolution | 13 |
| 17 | 8 | |
| 18 | 14 | |
| 19 | 24 | |
| 20 | 21 |
About Jeffrey W. Miller
Jeffrey W. Miller is a scholar working on Aging, Statistics and Probability and Neurology, having authored 37 papers that have together received 626 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). The work is most often cited by research in Statistics and Probability (153 citations), Endocrine and Autonomic Systems (71 citations) and Artificial Intelligence (223 citations). Jeffrey W. Miller has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Matthew Tom Harrison, David B. Dunson, Eugene C. Fletcher, Joel G. Fletcher, Bernard R. Bendok, Zhuo-Wei Hu, Benson P. Yang, Stefan A. Mindea, H. Hunt Batjer and Ali Shaibani. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.