T. D. Redhead
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Ecology top 10%
- Animal Ecology and Behavior Studies
- Wildlife Ecology and Conservation
Papers in
- Co-authors
- Grant R. Singleton (3 shared papers)Mary Bomford (1 shared paper)Michael F. Hutchinson (1 shared paper)Chris Margules (1 shared paper)Daniel P. Faith (1 shared paper)Michelle R. Leishman (1 shared paper)B. S. Goodrich (2 shared papers)Pamela R Pennycuik (1 shared paper)
- Journals
- Journal of Chemical Ecology (2 papers)Canadian Journal of Zoology (1 paper)Biological Journal of the Linnean Society (1 paper)Austral Ecology (1 paper)Oikos (1 paper)
- Partner nations
- Australia
In The Last Decade
T. D. Redhead
11 papers receiving 264 citations
Peers
Comparison fields: 5 of 55
- Ecological Modeling 43
- Ecology 249
- Nature and Landscape Conservation 115
- Small Animals 25
- Ecology, Evolution, Behavior and Systematics 61
Countries citing papers authored by T. D. Redhead
This map shows the geographic impact of T. D. Redhead'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 T. D. Redhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. D. Redhead more than expected).
Fields of papers citing papers by T. D. Redhead
This network shows the impact of papers produced by T. D. Redhead. 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 T. D. Redhead. The network helps show where T. D. Redhead may publish in the future.
Co-authors
The 8 scholars most cited alongside T. D. Redhead, 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 | 1990 | 86 | |
| 2 | 1979 | 57 | |
| 3 | 1987 | 55 | |
| 4 | Guidelines for using the BioRap methodology and tools | 1995 | 44 |
| 5 | 1990 | 29 | |
| 6 | 1988 | 23 | |
| 7 | 1990 | 11 | |
| 8 | 1990 | 10 | |
| 9 | Evaluation of thallium sulphate baits against rats in Queensland (Australia) sugar-cane fields adjacent to different vegetation types. | 1980 | 8 |
| 10 | Future prospects for biological control of rodents using micro- and macro-parasites. | 1990 | 6 |
| 11 | A relationship between rainfall and rat damage to sugar-cane in north Queensland. | 1980 | 3 |
About T. D. Redhead
T. D. Redhead is a scholar working on Ecology, Genetics, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Small Animals, having authored 11 papers that have together received 332 indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (8 papers), Wildlife Ecology and Conservation (4 papers), Meat and Animal Product Quality (2 papers), Zoonotic diseases and public health (1 paper), Neuroendocrine regulation and behavior (1 paper), Animal Behavior and Welfare Studies (1 paper), Fish Ecology and Management Studies (1 paper) and Pesticide Exposure and Toxicity (1 paper). The work is most often cited by research in Ecological Modeling (43 citations), Ecology (249 citations), Nature and Landscape Conservation (115 citations), Small Animals (25 citations) and Ecology, Evolution, Behavior and Systematics (61 citations). T. D. Redhead has collaborated with scholars based in Australia. Frequent co-authors include Grant R. Singleton, Mary Bomford, Michael F. Hutchinson, Chris Margules, Daniel P. Faith, Michelle R. Leishman, B. S. Goodrich and Pamela R Pennycuik. Their work appears in journals such as Journal of Chemical Ecology, Canadian Journal of Zoology, Biological Journal of the Linnean Society, Austral Ecology and Oikos.
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.