Matthew J. Miller
- Ecological Modeling top 5%
- Species Distribution and Climate Change 12
- Paleontology top 5%
- Evolution and Paleontology Studies 5
- Parasitology top 5%
- Vector-borne infectious diseases 5
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- Plant and animal studies 12
- Genetics top 10%
- Genetic diversity and population structure 21
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- Genomics and Phylogenetic Studies 10
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- Mosquito-borne diseases and control 8
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- Avian ecology and behavior 6
- Co-authors
- Eldredge BerminghamJosé R. LoaizaJohn KlickaKevin WinkerJason T. WeirPatricia EscalanteFábio Raposo do AmaralRobert E. Ricklefs
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesPanamaCanada
In The Last Decade
Matthew J. Miller
50 papers receiving 815 citations
Peers
Comparison fields: 5 of 112
- Ecological Modeling 160
- Paleontology 117
- Parasitology 86
- Ecology, Evolution, Behavior and Systematics 233
- Genetics 321
Countries citing papers authored by Matthew J. Miller
This map shows the geographic impact of Matthew J. 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 Matthew J. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Miller more than expected).
Fields of papers citing papers by Matthew J. Miller
This network shows the impact of papers produced by Matthew J. 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 Matthew J. Miller. The network helps show where Matthew J. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 25 | |
| 12 | 2018 | 9 | |
| 13 | 2016 | 43 | |
| 14 | 2015 | 43 | |
| 15 | 2013 | 11 | |
| 16 | 2013 | 16 | |
| 17 | NUEVO REGISTRO PARA PANAMÁ DE PELECITUS HELICINUS (Molin, 1860) (NEMATODAS: FILARIOIDEA: ONCHOCERCIDAE) COMO PARÁSITO SUBCUTÁNEO DEL AVE ARREMON AURANTIIROSTRIS (PASSERIFORMES: EMBERIZIDAE) | 2011 | 2 |
| 18 | 2010 | 26 | |
| 19 | 2008 | 62 | |
| 20 | 2006 | 27 |
About Matthew J. Miller
Matthew J. Miller is a scholar working on Ecological Modeling, Parasitology and Genetics, having authored 52 papers that have together received 844 indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Species Distribution and Climate Change (12 papers), Plant and animal studies (12 papers), Genomics and Phylogenetic Studies (10 papers), Mosquito-borne diseases and control (8 papers), Avian ecology and behavior (6 papers), Vector-borne infectious diseases (5 papers) and Evolution and Paleontology Studies (5 papers). The work is most often cited by research in Ecological Modeling (160 citations), Paleontology (117 citations) and Parasitology (86 citations). Matthew J. Miller has collaborated with scholars based in United States, Panama and Canada. Frequent co-authors include Eldredge Bermingham, José R. Loaiza, John Klicka, Kevin Winker, Jason T. Weir, Patricia Escalante, Fábio Raposo do Amaral, Robert E. Ricklefs, Robert H. Gilman and Gustav Visser. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.