Mark P. Miller
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Genetics top 1%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
- Co-authors
- Susan M. Haig (32 shared papers)Thomas D. Mullins (20 shared papers)Paul Keim (8 shared papers)M. Renee Bellinger (2 shared papers)Dean W. Blinn (1 shared paper)Karen E. Mock (7 shared papers)Eric D. Forsman (5 shared papers)R. Steven Wagner (4 shared papers)
- Journals
- The Auk (7 papers)Journal of Heredity (5 papers)Conservation Genetics (3 papers)Ornithological Applications (3 papers)Evolutionary Applications (3 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Mark P. Miller
73 papers receiving 2.0k citations
Mark P. Miller's Hit Papers
Peers
Comparison fields: 5 of 113
- Ecological Modeling 239
- Genetics 1.2k
- Ecology 914
- Nature and Landscape Conservation 361
- Ecology, Evolution, Behavior and Systematics 321
Countries citing papers authored by Mark P. Miller
This map shows the geographic impact of Mark P. 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 Mark P. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark P. Miller more than expected).
Fields of papers citing papers by Mark P. Miller
This network shows the impact of papers produced by Mark P. 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 Mark P. Miller. The network helps show where Mark P. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark P. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Alleles In Space (AIS): Computer Software for the Joint Analysis of Interindividual Spatial and Genetic Information Hit paper breakdown → | 2005 | 504 |
| 2 | 2001 | 260 | |
| 3 | 2011 | 113 | |
| 4 | 2005 | 102 | |
| 5 | 2002 | 97 | |
| 6 | 2015 | 69 | |
| 7 | 2009 | 63 | |
| 8 | 2011 | 62 | |
| 9 | 2004 | 50 | |
| 10 | 2013 | 47 | |
| 11 | 2000 | 41 | |
| 12 | 2006 | 40 | |
| 13 | 2015 | 39 | |
| 14 | 2008 | 35 | |
| 15 | 2009 | 34 | |
| 16 | 2010 | 31 | |
| 17 | 2006 | 30 | |
| 18 | 2006 | 27 | |
| 19 | 2020 | 23 | |
| 20 | 2012 | 23 |
About Mark P. Miller
Mark P. Miller is a scholar working on Genetics, Ecology, Molecular Biology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (40 papers), Wildlife Ecology and Conservation (16 papers), Avian ecology and behavior (16 papers), Fish Ecology and Management Studies (10 papers), Aquatic Invertebrate Ecology and Behavior (9 papers), Genetic and phenotypic traits in livestock (8 papers), Species Distribution and Climate Change (8 papers) and Identification and Quantification in Food (7 papers). The work is most often cited by research in Ecological Modeling (239 citations), Genetics (1.2k citations), Ecology (914 citations), Nature and Landscape Conservation (361 citations) and Ecology, Evolution, Behavior and Systematics (321 citations). Mark P. Miller has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Susan M. Haig, Thomas D. Mullins, Paul Keim, M. Renee Bellinger, Dean W. Blinn, Karen E. Mock, Eric D. Forsman, R. Steven Wagner, Brad H. McRae and Stéphanie Manel. Their work appears in journals such as The Auk, Journal of Heredity, Conservation Genetics, Ornithological Applications and Evolutionary Applications.
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.