David L. Miller
- Ecological Modeling top 2%
- Species Distribution and Climate Change 6
- Ecology top 1%
- Marine animal studies overview 11
- Wildlife Ecology and Conservation 7
- Coral and Marine Ecosystems Studies 5
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- Fish Ecology and Management Studies 5
- Global and Planetary Change top 5%
- Marine and fisheries research 5
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- Cephalopods and Marine Biology 4
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- Soil Geostatistics and Mapping 4
- Co-authors
- Eric J. PedersenNoam RossGavin L. SimpsonLen ThomasEric A. RexstadM. Louise BurtJ WadsworthBarry M. Farr
- Partner nations
- United KingdomUnited StatesNepal
In The Last Decade
David L. Miller
72 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Ecological Modeling 296
- Ecology 1.3k
- Nature and Landscape Conservation 609
- Global and Planetary Change 570
- Applied Microbiology and Biotechnology 53
Countries citing papers authored by David L. Miller
This map shows the geographic impact of David L. 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 David L. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Miller more than expected).
Fields of papers citing papers by David L. Miller
This network shows the impact of papers produced by David L. 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 David L. Miller. The network helps show where David L. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David L. 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 | 2025 | 5 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 7 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 15 | |
| 6 | Hierarchical generalized additive models in ecology: an introduction with mgcvbreakdown → | 2019 | 683 |
| 7 | 2019 | 3 | |
| 8 | 2018 | 10 | |
| 9 | 2016 | 20 | |
| 10 | 2015 | 16 | |
| 11 | 2003 | 34 | |
| 12 | Dying to Care? Work, stress and burnout in HIV/AIDS. | 2000 | 9 |
| 13 | Information Recovery in Simultaneous Equation Statistical Models | 1998 | 4 |
| 14 | 1992 | 0 | |
| 15 | 1989 | 11 | |
| 16 | Severe neurological illness: further analyses of the British National Childhood Encephalopathy Study. | 1988 | 26 |
| 17 | A study of three health centres in rural Saudi Arabia. | 1980 | 10 |
| 18 | 1971 | 25 | |
| 19 | Modern science and human freedom | 1969 | 2 |
| 20 | 1964 | 142 |
About David L. Miller
David L. Miller is a scholar working on Ecological Modeling, Ecology and Statistics and Probability, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Marine animal studies overview (11 papers), Wildlife Ecology and Conservation (7 papers), Species Distribution and Climate Change (6 papers), Marine and fisheries research (5 papers), Coral and Marine Ecosystems Studies (5 papers), Fish Ecology and Management Studies (5 papers), Cephalopods and Marine Biology (4 papers) and Soil Geostatistics and Mapping (4 papers). The work is most often cited by research in Ecological Modeling (296 citations), Ecology (1.3k citations) and Nature and Landscape Conservation (609 citations). David L. Miller has collaborated with scholars based in United Kingdom, United States and Nepal. Frequent co-authors include Eric J. Pedersen, Noam Ross, Gavin L. Simpson, Len Thomas, Eric A. Rexstad, M. Louise Burt, J Wadsworth, Barry M. Farr, C. L. R. Bartlett and Michael Frenklach. Their work appears in journals such as The Lancet, Applied Physics Letters 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.