David J. Schanzlin

5.6k citations
126 papers · 3.5k indexed · h-index 36

David J. Schanzlin

121 papers receiving 3.1k citations

Peers

David J. Schanzlin
Comparison fields: 5 of 112
  • Ophthalmology 2.1k
  • Radiology, Nuclear Medicine and Imaging 2.7k
  • Public Health, Environmental and Occupational Health 1.0k
  • Epidemiology 809
  • Pharmaceutical Science 85
Replace Grant R. Snibson with:
Grant R. Snibson Australia
Jeewan S. Titiyal India
Nick Mamalis United States
Majid Moshirfar United States
David S. Rootman Canada
Henry D. Perry United States
Jesper Hjortdal Denmark
Rasik B. Vajpayee India
Douglas J. Coster Australia
Mauro Campos Brazil
David J. Schanzlin relative to Grant R. Snibson Australia Grant R. Snibson's profile →
Citations per field
00.5×1.5×2.3×
Grant R. Snibson · 1×
Citations per year

Countries citing papers authored by David J. Schanzlin

Since Specialization
Citations

This map shows the geographic impact of David J. Schanzlin'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 David J. Schanzlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Schanzlin more than expected).

Fields of papers citing papers by David J. Schanzlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Schanzlin. 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 David J. Schanzlin. The network helps show where David J. Schanzlin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David J. Schanzlin, 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 David J. Schanzlin Line = papers co-authored together David J. Schanzlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201780
2 201323
3 201218
4
Support Vector Machine (SVM)-Based Classification of Corneal Topography
20081
5 200829
6 20086
7 200818
8 200429
9 20048
10 20026
11 200164
12 199815
13 199714
14
ICR® (Intrastromal Corneal Ring) astigmatism arcs for the correction of corneal astigmatism: An eyebank study
19961
15 199634
16 199618
17 199232
18 19896
19 198839
20 1987120

About David J. Schanzlin

David J. Schanzlin is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 126 papers that have together received 3.5k indexed citations. Recurring topics across this work include Corneal surgery and disorders (91 papers), Glaucoma and retinal disorders (44 papers), Corneal Surgery and Treatments (43 papers), Ocular Surface and Contact Lens (32 papers), Intraocular Surgery and Lenses (30 papers), Ophthalmology and Visual Impairment Studies (28 papers), Ocular Infections and Treatments (17 papers) and Ocular Diseases and Behçet’s Syndrome (5 papers). The work is most often cited by research in Ophthalmology (2.1k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Public Health, Environmental and Occupational Health (1.0k citations). David J. Schanzlin has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Ronald E. Smith, Stuart I. Brown, Daniel B. Goldberg, Jeffrey B. Robin, Daniel S. Durrie, Michael D. Twa, James V. Jester, Terry E. Burris, Kerry K. Assil and Penny A. Asbell. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and Biophysical Journal.

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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