Amanda B. Hepler

682 total citations
10 papers, 419 citations indexed

About

Amanda B. Hepler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Genetics. According to data from OpenAlex, Amanda B. Hepler has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Amanda B. Hepler's work include Handwritten Text Recognition Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Image Processing and 3D Reconstruction (2 papers). Amanda B. Hepler is often cited by papers focused on Handwritten Text Recognition Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Image Processing and 3D Reconstruction (2 papers). Amanda B. Hepler collaborates with scholars based in United States, United Kingdom and Australia. Amanda B. Hepler's co-authors include Amy D. Anderson, B. S. Weir, Linda Davis, Christopher P. Saunders, JoAnn Buscaglia, A. P. Dawid, Bruce S. Weir, Roderick B. Jordan, David A. Schum and Michael S. Johnson and has published in prestigious journals such as Nature Reviews Genetics, Forensic Science International and Forensic Science International Genetics.

In The Last Decade

Amanda B. Hepler

9 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amanda B. Hepler United States 5 244 87 69 50 32 10 419
Grayson R. Jackson United Kingdom 5 174 0.7× 77 0.9× 45 0.7× 38 0.8× 21 0.7× 10 376
Graham Jackson United Kingdom 10 140 0.6× 70 0.8× 53 0.8× 29 0.6× 17 0.5× 17 300
Roberto Puch‐Solis United Kingdom 10 305 1.3× 69 0.8× 147 2.1× 42 0.8× 39 1.2× 24 416
Simone Gittelson Switzerland 10 128 0.5× 45 0.5× 85 1.2× 10 0.2× 27 0.8× 18 231
Tacha Hicks Switzerland 18 553 2.3× 126 1.4× 247 3.6× 43 0.9× 104 3.3× 42 863
Lawrence A. Presley United States 7 400 1.6× 20 0.2× 293 4.2× 22 0.4× 72 2.3× 12 578
Klaas Slooten Netherlands 13 362 1.5× 130 1.5× 194 2.8× 10 0.2× 72 2.3× 38 485
Jaime Alonso Spain 10 122 0.5× 51 0.6× 30 0.4× 20 0.4× 11 0.3× 19 378
Susan Pope United Kingdom 7 136 0.6× 29 0.3× 135 2.0× 11 0.2× 31 1.0× 18 228
Peter van der Putten Netherlands 9 51 0.2× 100 1.1× 20 0.3× 23 0.5× 67 2.1× 28 370

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-authorship network of co-authors of Amanda B. Hepler

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda B. Hepler. A scholar is included among the top collaborators of Amanda B. Hepler 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 Amanda B. Hepler. Amanda B. Hepler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Weir, B. S., Amy D. Anderson, & Amanda B. Hepler. (2021). Author Correction: Genetic relatedness analysis: modern data and new challenges. Nature Reviews Genetics. 23(2). 134–134.
2.
Jordan, Roderick B., et al.. (2017). Bayesian Networks for Combat Equipment Diagnostics. INFORMS Journal on Applied Analytics. 47(1). 85–105. 2 indexed citations
3.
Hepler, Amanda B., Christopher P. Saunders, Linda Davis, & JoAnn Buscaglia. (2012). Score-based likelihood ratios for handwriting evidence. Forensic Science International. 219(1-3). 129–140. 84 indexed citations
4.
Davis, Linda, Christopher P. Saunders, Amanda B. Hepler, & JoAnn Buscaglia. (2011). Using subsampling to estimate the strength of handwriting evidence via score-based likelihood ratios. Forensic Science International. 216(1-3). 146–157. 26 indexed citations
5.
Dawid, A. P., David A. Schum, & Amanda B. Hepler. (2011). Inference Networks: Bayes and Wigmore. British Academy eBooks. 1 indexed citations
6.
Saunders, Christopher P., Amanda B. Hepler, Linda Davis, & JoAnn Buscaglia. (2010). Estimation of likelihood ratios for forensic handwriting analysis. Science & Justice. 50(1). 32–32. 2 indexed citations
7.
Hepler, Amanda B. & Bruce S. Weir. (2008). Object-oriented Bayesian networks for paternity cases with allelic dependencies. Forensic Science International Genetics. 2(3). 166–175. 13 indexed citations
8.
Hepler, Amanda B., et al.. (2007). Object-oriented graphical representations of complex patterns of evidence. Law Probability and Risk. 6(1-4). 275–293. 47 indexed citations
9.
Weir, B. S., Amy D. Anderson, & Amanda B. Hepler. (2006). Genetic relatedness analysis: modern data and new challenges. Nature Reviews Genetics. 7(10). 771–780. 240 indexed citations
10.
Hepler, Amanda B., et al.. (1979). Hot-structure development advanced space transportation system application. 4 indexed citations

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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