A. H. D. Brown
- Plant Science top 2%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Molecular Biology
- Nature and Landscape Conservation top 5%
- Co-authors
- Michael T. CleggR. W. AllardD. R. MarshallB. S. WeirA. L. KahlerHans DollAndrew G. YoungJ. T. Williams
- Topics
- Genetics and Plant Breeding (10 papers)Genetic diversity and population structure (8 papers)Wheat and Barley Genetics and Pathology (7 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
A. H. D. Brown
47 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Plant Science 1.1k
- Genetics 796
- Ecology, Evolution, Behavior and Systematics 764
- Molecular Biology 387
- Nature and Landscape Conservation 380
Countries citing papers authored by A. H. D. Brown
This map shows the geographic impact of A. H. D. Brown'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 A. H. D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. H. D. Brown more than expected).
Fields of papers citing papers by A. H. D. Brown
This network shows the impact of papers produced by A. H. D. Brown. 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 A. H. D. Brown. The network helps show where A. H. D. Brown may publish in the future.
Co-authorship network of co-authors of A. H. D. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of A. H. D. Brown. A scholar is included among the top collaborators of A. H. D. Brown 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 A. H. D. Brown. A. H. D. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 120 | |
| 4 | Disease in mixed cultivars, composites, and natural plant populations: some epidemiological and evolutionary consequences. | 7 |
| 5 | Detection and measurement of selection: genetic and ecological approaches. | 14 |
| 6 | Spatial patterns of genetic variation within plant populations. | 105 |
| 7 | 8 | |
| 8 | Characterisation and evaluation of okra. | 4 |
| 9 | 6 | |
| 10 | 5 | |
| 11 | Determination of outcrossing rate in a breeding population of Lupinus albus L. (white lupin). | 25 |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 41 | |
| 15 | 216 | |
| 16 | 2 | |
| 17 | 127 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | 25 |
About A. H. D. Brown
A. H. D. Brown is a scholar working on Horticulture, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (10 papers), Genetic diversity and population structure (8 papers) and Wheat and Barley Genetics and Pathology (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (764 citations), Nature and Landscape Conservation (380 citations) and Plant Science (1.1k citations). A. H. D. Brown has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael T. Clegg, R. W. Allard, D. R. Marshall, B. S. Weir, A. L. Kahler, Hans Doll, Andrew G. Young, J. T. Williams, O. H. Fränkel and M.S. Davies. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genetics and Biometrics.
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.