Amanda B. Hepler
Impact in
- Genetics top 10%
- Forensic and Genetic Research
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
Papers in
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- Handwritten Text Recognition Techniques 3
- Image Processing and 3D Reconstruction 2
- Digital Media Forensic Detection 2
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- Bayesian Modeling and Causal Inference 2
- Co-authors
- B. S. Weir (2 shared papers)Amy D. Anderson (2 shared papers)Christopher P. Saunders (3 shared papers)JoAnn Buscaglia (3 shared papers)Linda Davis (3 shared papers)A. P. Dawid (2 shared papers)Bruce S. Weir (1 shared paper)David A. Schum (1 shared paper)
- Journals
- Nature Reviews Genetics (2 papers)Forensic Science International (2 papers)Science & Justice (1 paper)Law Probability and Risk (1 paper)Forensic Science International Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Amanda B. Hepler
9 papers receiving 407 citations
Peers
Comparison fields: 5 of 88
- Genetics 246
- Signal Processing 29
- Artificial Intelligence 86
- Safety Research 22
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Amanda B. Hepler
This map shows the geographic impact of Amanda B. Hepler'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 Amanda B. Hepler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda B. Hepler more than expected).
Fields of papers citing papers by Amanda B. Hepler
This network shows the impact of papers produced by Amanda B. Hepler. 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 Amanda B. Hepler. The network helps show where Amanda B. Hepler may publish in the future.
Co-authors
The 11 scholars most cited alongside Amanda B. Hepler, 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 | 2006 | 245 | |
| 2 | 2012 | 84 | |
| 3 | 2007 | 47 | |
| 4 | 2011 | 26 | |
| 5 | 2008 | 13 | |
| 6 | 1979 | 4 | |
| 7 | 2010 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2011 | 1 | |
| 10 | 2021 | 0 |
About Amanda B. Hepler
Amanda B. Hepler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics, Control and Systems Engineering and Signal Processing, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (3 papers), Image Processing and 3D Reconstruction (2 papers), Digital Media Forensic Detection (2 papers), Bayesian Modeling and Causal Inference (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Forensic and Genetic Research (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Forensic Fingerprint Detection Methods (1 paper). The work is most often cited by research in Genetics (246 citations), Signal Processing (29 citations), Artificial Intelligence (86 citations), Safety Research (22 citations) and Computer Vision and Pattern Recognition (50 citations). Amanda B. Hepler has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include B. S. Weir, Amy D. Anderson, Christopher P. Saunders, JoAnn Buscaglia, Linda Davis, A. P. Dawid, Bruce S. Weir, David A. Schum, Suzanne M. Mahoney and Michael S. Johnson. Their work appears in journals such as Nature Reviews Genetics, Forensic Science International, Science & Justice, Law Probability and Risk and Forensic Science International Genetics.
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.