Amanda B. Hepler

682 citations
10 papers · 419 · h-index 5

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
    • Bayesian Modeling and Causal Inference

Papers in

Amanda B. Hepler

9 papers receiving 402 citations

Peers

Amanda B. Hepler
Comparison fields: 5 of 90
  • Genetics 244
  • Artificial Intelligence 87
  • Signal Processing 29
  • Safety Research 22
  • Computer Vision and Pattern Recognition 50
Replace Grayson R. Jackson with:
Grayson R. Jackson United Kingdom
Graham Jackson United Kingdom
Roberto Puch‐Solis United Kingdom
Simone Gittelson Switzerland
Lawrence A. Presley United States
R. Pinchin United Kingdom
Damien Abarno Australia
Allan Jamieson United Kingdom
Klaas Slooten Netherlands
Simon Baechler Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Amanda B. Hepler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Amanda B. Hepler Line = papers co-authored together Amanda B. Hepler links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006240
2 201284
3 200747
4 201126
5 200813
6 19794
7 20102
8 20172
9 20111
10 20210

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 419 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (3 papers), Image Processing and 3D Reconstruction (2 papers), Bayesian Modeling and Causal Inference (2 papers), Digital Media Forensic Detection (2 papers), Forensic and Genetic Research (1 paper), Forensic Fingerprint Detection Methods (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Genetics (244 citations), Artificial Intelligence (87 citations), Signal Processing (29 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 Amy D. Anderson, B. S. Weir, Linda Davis, JoAnn Buscaglia, Christopher P. Saunders, A. P. Dawid, Bruce S. Weir, Roderick B. Jordan, David A. Schum and Michael S. Johnson. Their work appears in journals such as Nature Reviews Genetics, Forensic Science International, Science & Justice, Forensic Science International Genetics and INFORMS Journal on Applied Analytics.

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.

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