Anna Willis
Impact in
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies
- Paleopathology and ancient diseases
- Paleontology top 5%
- Archaeology and ancient environmental studies
Papers in
- Archeology 16
- Forensic Anthropology and Bioarchaeology Studies 15
- Paleopathology and ancient diseases 5
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- Pacific and Southeast Asian Studies 8
- Co-authors
- Marc Oxenham (11 shared papers)Nancy Tayles (1 shared paper)Peter Bellwood (3 shared papers)Philip J. Piper (4 shared papers)Hirofumi Matsumura (7 shared papers)Kate Domett (7 shared papers)Hallie R. Buckley (6 shared papers)Fredeliza Z. Campos (2 shared papers)
- Journals
- Journal of Archaeological Science Reports (2 papers)International Journal of Osteoarchaeology (2 papers)PLoS ONE (2 papers)Journal of Anatomy (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaNew ZealandJapan
In The Last Decade
Anna Willis
18 papers receiving 270 citations
Peers
Comparison fields: 5 of 61
- Archeology 163
- Paleontology 115
- Geography, Planning and Development 80
- Archeology 8
- Anthropology 54
Countries citing papers authored by Anna Willis
This map shows the geographic impact of Anna Willis'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 Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Willis more than expected).
Fields of papers citing papers by Anna Willis
This network shows the impact of papers produced by Anna Willis. 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 Willis. The network helps show where Anna Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Willis, 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 | 2015 | 37 | |
| 2 | 2013 | 36 | |
| 3 | 2018 | 36 | |
| 4 | 2008 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2012 | 26 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 16 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 0 |
About Anna Willis
Anna Willis is a scholar working on Archeology, Geography, Planning and Development, Paleontology, Political Science and International Relations and Genetics, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (15 papers), Pacific and Southeast Asian Studies (8 papers), Archaeology and ancient environmental studies (6 papers), Paleopathology and ancient diseases (5 papers), Forensic and Genetic Research (2 papers), Asian Geopolitics and Ethnography (2 papers), Pleistocene-Era Hominins and Archaeology (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Archeology (163 citations), Paleontology (115 citations), Geography, Planning and Development (80 citations), Archeology (8 citations) and Anthropology (54 citations). Anna Willis has collaborated with scholars based in Australia, New Zealand and Japan. Frequent co-authors include Marc Oxenham, Nancy Tayles, Peter Bellwood, Philip J. Piper, Hirofumi Matsumura, Kate Domett, Hallie R. Buckley, Fredeliza Z. Campos, Noel Amano and Rachel Wood. Their work appears in journals such as Journal of Archaeological Science Reports, International Journal of Osteoarchaeology, PLoS ONE, Journal of Anatomy and Scientific Reports.
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.