David M. Green
Impact in
- Ecological Modeling top 0.2%
- Species Distribution and Climate Change
- Cognitive Neuroscience top 0.2%
- Hearing Loss and Rehabilitation
- Neuroscience and Music Perception
- Neural dynamics and brain function
Papers in
-
- Species Distribution and Climate Change 40
-
- Amphibian and Reptile Biology 85
- Co-authors
- R. Duncan LuceM. Alex SmithWalt JesteadtJohn C. MiddlebrooksCraig C. WierRonald A. NussbaumJoseph M. KieseckerLi Xu
- Journals
- The Journal of the Acoustical Society of America (126 papers)Copeia (17 papers)Journal of Herpetology (9 papers)Psychological Review (9 papers)Herpetologica (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David M. Green
342 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Ecological Modeling 2.0k
- Cognitive Neuroscience 5.1k
- Speech and Hearing 1.6k
- Sensory Systems 1.1k
- Developmental Biology 470
Countries citing papers authored by David M. Green
This map shows the geographic impact of David M. Green'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 M. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Green more than expected).
Fields of papers citing papers by David M. Green
This network shows the impact of papers produced by David M. Green. 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 M. Green. The network helps show where David M. Green may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Green, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2018 | 52 | |
| 5 | 2017 | 28 | |
| 6 | 2016 | 56 | |
| 7 | 2016 | 39 | |
| 8 | THE BOUNDS OF SPECIES: HYBRIDIZATION IN THE BUFO AMERICANUS GROUP OF NORTH AMERICAN TOADS | 2013 | 2 |
| 9 | 2010 | 30 | |
| 10 | 2010 | 16 | |
| 11 | 2004 | 23 | |
| 12 | 2004 | 2 | |
| 13 | 2000 | 13 | |
| 14 | 2000 | 1 | |
| 15 | 1994 | 22 | |
| 16 | 1990 | 2 | |
| 17 | 1990 | 13 | |
| 18 | 1988 | 19 | |
| 19 | 1984 | 15 | |
| 20 | Perception of Pitch | 1974 | 2 |
About David M. Green
David M. Green is a scholar working on Ecological Modeling, Global and Planetary Change, Developmental Biology, Speech and Hearing and Cognitive Neuroscience, having authored 352 papers that have together received 14.6k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (85 papers), Hearing Loss and Rehabilitation (58 papers), Species Distribution and Climate Change (40 papers), Animal Behavior and Reproduction (30 papers), Structural Health Monitoring Techniques (30 papers), Noise Effects and Management (28 papers), Wildlife Ecology and Conservation (23 papers) and Chromosomal and Genetic Variations (22 papers). The work is most often cited by research in Ecological Modeling (2.0k citations), Cognitive Neuroscience (5.1k citations), Speech and Hearing (1.6k citations), Sensory Systems (1.1k citations) and Developmental Biology (470 citations). David M. Green has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include R. Duncan Luce, M. Alex Smith, Walt Jesteadt, John C. Middlebrooks, Craig C. Wier, Ronald A. Nussbaum, Joseph M. Kiesecker, Li Xu, Darrel R. Frost and Jonathan A. Campbell. Their work appears in journals such as The Journal of the Acoustical Society of America, Copeia, Journal of Herpetology, Psychological Review and Herpetologica.
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.