R. Austin Hicklin
- Safety Research top 2%
- Forensic Fingerprint Detection Methods 12
- Signal Processing top 2%
- Biometric Identification and Security 8
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- Reliability and Agreement in Measurement 2
- Genetics top 10%
- Forensic and Genetic Research 16
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- Digital Imaging in Medicine 4
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- Digital and Cyber Forensics 4
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- Forensic Anthropology and Bioarchaeology Studies 2
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- Data-Driven Disease Surveillance 2
- Co-authors
- JoAnn BuscagliaMaria Antonia RobertsBradford T. UleryConnie L. ParksNathan D. KalkaThomas A. BuseyBrian A. EckenrodePaul E. Kish
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (3 papers)Forensic Science International (12 papers)
- Partner nations
- United StatesLithuania
In The Last Decade
R. Austin Hicklin
23 papers receiving 639 citations
Peers
Comparison fields: 5 of 75
- Safety Research 265
- Signal Processing 260
- Statistics, Probability and Uncertainty 78
- Genetics 298
- Computer Vision and Pattern Recognition 133
Countries citing papers authored by R. Austin Hicklin
This map shows the geographic impact of R. Austin Hicklin'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 R. Austin Hicklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Austin Hicklin more than expected).
Fields of papers citing papers by R. Austin Hicklin
This network shows the impact of papers produced by R. Austin Hicklin. 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 R. Austin Hicklin. The network helps show where R. Austin Hicklin may publish in the future.
Co-authorship network
The 13 scholars most cited alongside R. Austin Hicklin, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2017 | 14 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 29 | |
| 15 | 2014 | 39 | |
| 16 | 2014 | 32 | |
| 17 | 2013 | 34 | |
| 18 | 2013 | 47 | |
| 19 | 2012 | 126 | |
| 20 | 2011 | 228 |
About R. Austin Hicklin
R. Austin Hicklin is a scholar working on Safety Research, Signal Processing and Genetics, having authored 23 papers that have together received 670 indexed citations. Recurring topics across this work include Forensic and Genetic Research (16 papers), Forensic Fingerprint Detection Methods (12 papers), Biometric Identification and Security (8 papers), Digital Imaging in Medicine (4 papers), Digital and Cyber Forensics (4 papers), Reliability and Agreement in Measurement (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Safety Research (265 citations), Signal Processing (260 citations) and Statistics, Probability and Uncertainty (78 citations). R. Austin Hicklin has collaborated with scholars based in United States and Lithuania. Frequent co-authors include JoAnn Buscaglia, Maria Antonia Roberts, Bradford T. Ulery, Connie L. Parks, Nathan D. Kalka, Thomas A. Busey, Brian A. Eckenrode, Paul E. Kish, Craig I. Watson and Robert Bever. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Forensic Science International.
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.