Philip S. Miller
- Genetics top 2%
- Ecology top 2%
- Nature and Landscape Conservation top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecological Modeling top 5%
- Co-authors
- Philip W. HedrickEric S. MengesSteven R. BeissingerJohn B. DunningL. Scott MillsKevin S. McKelveyMarie‐Charlotte AnstettRobert J. Frye
- Topics
- Genetic and phenotypic traits in livestock (12 papers)Genetic diversity and population structure (7 papers)Wildlife Ecology and Conservation (6 papers)
- Journals
- PLoS ONEScientific ReportsGenetics
- Partner nations
- United StatesBangladeshIsrael
In The Last Decade
Philip S. Miller
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Genetics 802
- Ecology 706
- Nature and Landscape Conservation 349
- Ecology, Evolution, Behavior and Systematics 309
- Ecological Modeling 167
Countries citing papers authored by Philip S. Miller
This map shows the geographic impact of Philip S. 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 Philip S. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Miller more than expected).
Fields of papers citing papers by Philip S. Miller
This network shows the impact of papers produced by Philip S. 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 Philip S. Miller. The network helps show where Philip S. Miller may publish in the future.
Co-authorship network of co-authors of Philip S. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Miller. A scholar is included among the top collaborators of Philip S. 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 Philip S. Miller. Philip S. 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 | 7 | |
| 3 | 17 | |
| 4 | 48 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 66 | |
| 8 | Manual of procedures for wildlife disease risk analysis. | 46 |
| 9 | 33 | |
| 10 | 16 | |
| 11 | 27 | |
| 12 | 326 | |
| 13 | 46 | |
| 14 | Conservation assessment and management plan for the tree kangaroos of Papua New Guinea and population, and habitat viability assessment for Matschie's tree Kangaroo. Final report | 2 |
| 15 | 79 | |
| 16 | Applying "vine row volume" (plant row volume or PRV) principles to rate selection and spray machinery operations | 3 |
| 17 | 23 | |
| 18 | 49 | |
| 19 | 48 | |
| 20 | 308 |
About Philip S. Miller
Philip S. Miller is a scholar working on Ecological Modeling, Genetics and Equine, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (12 papers), Genetic diversity and population structure (7 papers) and Wildlife Ecology and Conservation (6 papers). The work is most often cited by research in Ecological Modeling (167 citations), Nature and Landscape Conservation (349 citations) and Genetics (802 citations). Philip S. Miller has collaborated with scholars based in United States, Bangladesh and Israel. Frequent co-authors include Philip W. Hedrick, Eric S. Menges, Steven R. Beissinger, John B. Dunning, L. Scott Mills, Kevin S. McKelvey, Marie‐Charlotte Anstett, Robert J. Frye, J. Michael Reed and Steven T. Kalinowski. Their work appears in journals such as PLoS ONE, Scientific Reports and Genetics.
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.