Anna V. Williams
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
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- Plant Diversity and Evolution
- Plant and animal studies
Papers in
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- Genomics and Phylogenetic Studies 3
- Plant and Fungal Species Descriptions 2
- Photosynthetic Processes and Mechanisms 1
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- Plant Diversity and Evolution 3
- Plant and animal studies 1
- Co-authors
- Ian Small (4 shared papers)Paul G. Nevill (4 shared papers)Paul Nevill (3 shared papers)Siegfried L. Krauss (3 shared papers)Laura M. Boykin (3 shared papers)Katharine A. Howell (3 shared papers)Joseph T. Miller (1 shared paper)M. Virginia Sanchez‐Puerta (1 shared paper)
- Journals
- Molecular Phylogenetics and Evolution (2 papers)Genome Biology and Evolution (1 paper)Applications in Plant Sciences (1 paper)Annals of Botany (1 paper)Trends in Plant Science (1 paper)
- Partner nations
- AustraliaUnited StatesArgentina
In The Last Decade
Anna V. Williams
7 papers receiving 292 citations
Peers
Comparison fields: 5 of 33
- Ecological Modeling 30
- Ecology, Evolution, Behavior and Systematics 99
- Nature and Landscape Conservation 43
- Genetics 74
- Plant Science 101
Countries citing papers authored by Anna V. Williams
This map shows the geographic impact of Anna V. Williams'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 Anna V. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna V. Williams more than expected).
Fields of papers citing papers by Anna V. Williams
This network shows the impact of papers produced by Anna V. Williams. 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 Anna V. Williams. The network helps show where Anna V. Williams may publish in the future.
Co-authors
The 16 scholars most cited alongside Anna V. Williams, 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 | 2014 | 74 | |
| 2 | 2015 | 63 | |
| 3 | 2015 | 50 | |
| 4 | 2018 | 46 | |
| 5 | 2019 | 39 | |
| 6 | 2013 | 25 | |
| 7 | 2013 | 1 |
About Anna V. Williams
Anna V. Williams is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science and Nature and Landscape Conservation, having authored 7 papers that have together received 298 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Plant Diversity and Evolution (3 papers), Genetic diversity and population structure (3 papers), Plant and Fungal Species Descriptions (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Plant and animal studies (1 paper), Ecology and Vegetation Dynamics Studies (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). The work is most often cited by research in Ecological Modeling (30 citations), Ecology, Evolution, Behavior and Systematics (99 citations), Nature and Landscape Conservation (43 citations), Genetics (74 citations) and Plant Science (101 citations). Anna V. Williams has collaborated with scholars based in Australia, United States and Argentina. Frequent co-authors include Ian Small, Paul G. Nevill, Paul Nevill, Siegfried L. Krauss, Laura M. Boykin, Katharine A. Howell, Joseph T. Miller, M. Virginia Sanchez‐Puerta, Alejandro Edera and Carolina L. Gandini. Their work appears in journals such as Molecular Phylogenetics and Evolution, Genome Biology and Evolution, Applications in Plant Sciences, Annals of Botany and Trends in Plant Science.
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.