Nicholas Sharp
- Small Animals top 0.5%
- Veterinary Orthopedics and Neurology 12
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- Computer Graphics and Visualization Techniques 14
- Equine top 1%
- Microbiology top 5%
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- 3D Shape Modeling and Analysis 13
- Advanced Numerical Analysis Techniques 11
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- Muscle Physiology and Disorders 10
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- Antifungal resistance and susceptibility 7
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- Fetal and Pediatric Neurological Disorders 7
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- Neurological diseases and metabolism 6
- Co-authors
- Keenan CraneNatasha J. OlbyKaren R. MuñanaJoe N. KornegaySimon J. WheelerMartin SullivanScott J. SchatzbergDonald Ε. Thrall
- Journals
- ACM Transactions on Graphics (13 papers)Journal of Veterinary Internal Medicine (7 papers)Veterinary Radiology & Ultrasound (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nicholas Sharp
73 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 137
- Small Animals 687
- Computer Graphics and Computer-Aided Design 287
- Equine 108
- Pathology and Forensic Medicine 343
- Microbiology 107
Countries citing papers authored by Nicholas Sharp
This map shows the geographic impact of Nicholas Sharp'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 Nicholas Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Sharp more than expected).
Fields of papers citing papers by Nicholas Sharp
This network shows the impact of papers produced by Nicholas Sharp. 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 Nicholas Sharp. The network helps show where Nicholas Sharp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas Sharp, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 5 | |
| 8 | 2009 | 41 | |
| 9 | 2007 | 62 | |
| 10 | 2005 | 57 | |
| 11 | 2005 | 52 | |
| 12 | 2003 | 21 | |
| 13 | 2003 | 46 | |
| 14 | 2003 | 2 | |
| 15 | 2002 | 43 | |
| 16 | 2002 | 56 | |
| 17 | 2001 | 51 | |
| 18 | 1996 | 40 | |
| 19 | 1994 | 12 | |
| 20 | 1988 | 9 |
About Nicholas Sharp
Nicholas Sharp is a scholar working on Computer Graphics and Computer-Aided Design, Small Animals and Equine, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (14 papers), 3D Shape Modeling and Analysis (13 papers), Veterinary Orthopedics and Neurology (12 papers), Advanced Numerical Analysis Techniques (11 papers), Muscle Physiology and Disorders (10 papers), Antifungal resistance and susceptibility (7 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Neurological diseases and metabolism (6 papers). The work is most often cited by research in Small Animals (687 citations), Computer Graphics and Computer-Aided Design (287 citations) and Equine (108 citations). Nicholas Sharp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Keenan Crane, Natasha J. Olby, Karen R. Muñana, Joe N. Kornegay, Simon J. Wheeler, Martin Sullivan, Scott J. Schatzberg, Donald Ε. Thrall, Luisa De Risio and Alexander de Lahunta. Their work appears in journals such as ACM Transactions on Graphics, Journal of Veterinary Internal Medicine, Veterinary Radiology & Ultrasound, Journal of the American Veterinary Medical Association and Veterinary Surgery.
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.