David R. Barber
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Insect Science top 5%
- Ecological Modeling top 5%
- Nature and Landscape Conservation top 10%
- Co-authors
- Thomas E. MartinE. A. C. HagleyKeith L. BildsteinGil BohrerMarc J. BechardM. Anthony MelchiorsT. Bently WigleyN. J. Holliday
- Topics
- Avian ecology and behavior (18 papers)Wildlife Ecology and Conservation (11 papers)Species Distribution and Climate Change (5 papers)
- Journals
- EcologyPhilosophical Transactions of the Royal Society B Biological SciencesConservation Biology
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
David R. Barber
23 papers receiving 506 citations
Peers
Comparison fields: 5 of 51
- Ecology 414
- Ecology, Evolution, Behavior and Systematics 147
- Insect Science 110
- Ecological Modeling 106
- Nature and Landscape Conservation 105
Countries citing papers authored by David R. Barber
This map shows the geographic impact of David R. Barber'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 R. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Barber more than expected).
Fields of papers citing papers by David R. Barber
This network shows the impact of papers produced by David R. Barber. 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 R. Barber. The network helps show where David R. Barber may publish in the future.
Co-authorship network of co-authors of David R. Barber
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Barber. A scholar is included among the top collaborators of David R. Barber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Barber. David R. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 106 | |
| 10 | 4 | |
| 11 | 42 | |
| 12 | 16 | |
| 13 | 0 | |
| 14 | 44 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 82 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 37 |
About David R. Barber
David R. Barber is a scholar working on Ecological Modeling, Ecology and Parasitology, having authored 26 papers that have together received 556 indexed citations. Recurring topics across this work include Avian ecology and behavior (18 papers), Wildlife Ecology and Conservation (11 papers) and Species Distribution and Climate Change (5 papers). The work is most often cited by research in Ecological Modeling (106 citations), Ecology (414 citations) and Developmental Biology (22 citations). David R. Barber has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Thomas E. Martin, E. A. C. Hagley, Keith L. Bildstein, Gil Bohrer, Marc J. Bechard, M. Anthony Melchiors, T. Bently Wigley, N. J. Holliday, Ronald E. Thill and Somayeh Dodge. Their work appears in journals such as Ecology, Philosophical Transactions of the Royal Society B Biological Sciences and Conservation Biology.
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.