Nicholas Sharp

88 papers receiving 2.9k citations

Nicholas Sharp's Hit Papers

DiffusionNet: Discretization Agnostic Learning on Surfaces 2022 · 127 citations
1270+1+2Years since publication4080120

Peers

Nicholas Sharp
Comparison fields: 5 of 140
  • Small Animals 860
  • Computer Graphics and Computer-Aided Design 349
  • Equine 85
  • Computational Mechanics 416
  • Pathology and Forensic Medicine 290
Replace D. M. Keenan with:
D. M. Keenan United States
Karl‐Hans Englmeier Germany
Tetsuya Ikeda Japan
Thomas A. Churchill Canada
Andreas Prescher Germany
Hiroshi Iseki Japan
David J. Cole United States
Joyce H. Keyak United States
Paul Simoens Belgium
Kazuo Tanne Japan
Nicholas Sharp relative to D. M. Keenan United States D. M. Keenan's profile →
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D. M. Keenan · 1×
Citations per year

Countries citing papers authored by Nicholas Sharp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992281
2
Small Animal Spinal Disorders: Diagnosis and Surgery
1994129
3
DiffusionNet: Discretization Agnostic Learning on Surfaces
Hit paper breakdown →
2022127
4 199993
5 200077
6 199373
7 200170
8 200570
9 200367
10 200762
11 200261
12 200360
13 200159
14 200559
15 202357
16 200056
17 200556
18 202056
19 199553
20 200053

About Nicholas Sharp

Nicholas Sharp is a scholar working on Small Animals, Computer Graphics and Computer-Aided Design, Molecular Biology, Computational Mechanics and Surgery, having authored 94 papers that have together received 3.1k 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), Spine and Intervertebral Disc Pathology (8 papers), Antifungal resistance and susceptibility (7 papers) and Neurological diseases and metabolism (6 papers). The work is most often cited by research in Small Animals (860 citations), Computer Graphics and Computer-Aided Design (349 citations), Equine (85 citations), Computational Mechanics (416 citations) and Pathology and Forensic Medicine (290 citations). Nicholas Sharp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Keenan Crane, Simon J. Wheeler, Natasha J. Olby, Karen R. Muñana, Joe N. Kornegay, Scott J. Schatzberg, Martin Sullivan, Donald Ε. Thrall, Luisa De Risio and Alexander de Lahunta. Their work appears in journals such as ACM Transactions on Graphics, Veterinary Radiology & Ultrasound, Journal of Veterinary Internal Medicine, Journal of the American Veterinary Medical Association and Journal of Small Animal Practice.

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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