Peter E. Nye
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
- Ecology 5
- Avian ecology and behavior 3
- Wildlife-Road Interactions and Conservation 2
- Marine animal studies overview 2
- Wildlife Ecology and Conservation 2
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- Turtle Biology and Conservation 1
- Co-authors
- Zhenhui Li (1 shared paper)Bolin Ding (1 shared paper)Jiawei Han (1 shared paper)Roland Kays (1 shared paper)Charles J. Henny (3 shared papers)Mark S. Martell (3 shared papers)David K. Garcelon (1 shared paper)Craig M. Thompson (1 shared paper)
- Journals
- Ornithological Applications (2 papers)Journal of Wildlife Management (1 paper)Ecotoxicology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Peter E. Nye
6 papers receiving 340 citations
Peers
Comparison fields: 5 of 55
- Transportation 136
- Signal Processing 147
- Ecological Modeling 30
- Geography, Planning and Development 39
- Ecology 114
Countries citing papers authored by Peter E. Nye
This map shows the geographic impact of Peter E. Nye'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 Peter E. Nye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Nye more than expected).
Fields of papers citing papers by Peter E. Nye
This network shows the impact of papers produced by Peter E. Nye. 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 Peter E. Nye. The network helps show where Peter E. Nye may publish in the future.
Co-authors
The 12 scholars most cited alongside Peter E. Nye, 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 | 2010 | 239 | |
| 2 | 2001 | 93 | |
| 3 | 2001 | 25 | |
| 4 | 2005 | 10 | |
| 5 | 2020 | 6 | |
| 6 | Highway to the tropics: Using satellite telemetry and the Internet to track ospreys in the Western Hemisphere | 1998 | 3 |
About Peter E. Nye
Peter E. Nye is a scholar working on Ecology, Nature and Landscape Conservation, Signal Processing, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 6 papers that have together received 376 indexed citations. Recurring topics across this work include Avian ecology and behavior (3 papers), Wildlife-Road Interactions and Conservation (2 papers), Marine animal studies overview (2 papers), Wildlife Ecology and Conservation (2 papers), Turtle Biology and Conservation (1 paper), Mercury impact and mitigation studies (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Transportation (136 citations), Signal Processing (147 citations), Ecological Modeling (30 citations), Geography, Planning and Development (39 citations) and Ecology (114 citations). Peter E. Nye has collaborated with scholars based in United States and Canada. Frequent co-authors include Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Charles J. Henny, Mark S. Martell, David K. Garcelon, Craig M. Thompson, Neil M. Burgess and Heather A. Brant. Their work appears in journals such as Ornithological Applications, Journal of Wildlife Management and Ecotoxicology.
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.