Scott Hazelhurst
Impact in
- Health Informatics top 2%
- Hardware and Architecture top 5%
- Network Packet Processing and Optimization
Papers in
- Genetics 21
- Genetic Associations and Epidemiology 14
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- Genomics and Phylogenetic Studies 6
- Co-authors
- Michèle Ramsay (25 shared papers)Francisco C. Ceballos (3 shared papers)Jorge da Rocha (6 shared papers)Pamela Michelow (4 shared papers)Liron Pantanowitz (4 shared papers)Carl-Johan H. Seger (2 shared papers)Rajiv Dhir (2 shared papers)Ananyo Choudhury (11 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (4 papers)Nature Communications (4 papers)Bioinformatics (3 papers)BMC Genomics (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Scott Hazelhurst
80 papers receiving 1.6k citations
Scott Hazelhurst's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Informatics 70
- Hardware and Architecture 190
- Software 85
- Pharmacology 115
- Genetics 304
Countries citing papers authored by Scott Hazelhurst
This map shows the geographic impact of Scott Hazelhurst'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 Scott Hazelhurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Hazelhurst more than expected).
Fields of papers citing papers by Scott Hazelhurst
This network shows the impact of papers produced by Scott Hazelhurst. 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 Scott Hazelhurst. The network helps show where Scott Hazelhurst may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Hazelhurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study Hit paper breakdown → | 2020 | 234 |
| 2 | 2020 | 112 | |
| 3 | 2018 | 97 | |
| 4 | 2020 | 62 | |
| 5 | 2008 | 61 | |
| 6 | 2002 | 58 | |
| 7 | 2021 | 56 | |
| 8 | 2019 | 53 | |
| 9 | 1997 | 47 | |
| 10 | 2021 | 46 | |
| 11 | 1995 | 43 | |
| 12 | 2020 | 42 | |
| 13 | 2013 | 41 | |
| 14 | 2020 | 38 | |
| 15 | 2014 | 37 | |
| 16 | 2014 | 35 | |
| 17 | 2008 | 34 | |
| 18 | 2020 | 31 | |
| 19 | BINARY DECISION DIAGRAM REPRESENTATIONS OF FIREWALL AND ROUTER ACCESS LISTS | 1998 | 30 |
| 20 | 2018 | 29 |
About Scott Hazelhurst
Scott Hazelhurst is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Software Testing and Debugging Techniques (11 papers), Formal Methods in Verification (11 papers), Pharmacogenetics and Drug Metabolism (9 papers), Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (6 papers), Network Packet Processing and Optimization (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Health Informatics (70 citations), Hardware and Architecture (190 citations), Software (85 citations), Pharmacology (115 citations) and Genetics (304 citations). Scott Hazelhurst has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Michèle Ramsay, Francisco C. Ceballos, Jorge da Rocha, Pamela Michelow, Liron Pantanowitz, Carl-Johan H. Seger, Rajiv Dhir, Ananyo Choudhury, Zané Lombard and Jean‐Tristan Brandenburg. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Nature Communications, Bioinformatics, BMC Genomics and Frontiers in 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.