D. Shaw

511 citations
27 papers · 392 · h-index 11

Impact in

  • Equine top 10%
  • Urology top 10%
    • Urological Disorders and Treatments

Papers in

    • Congenital Diaphragmatic Hernia Studies 4
    • Surgical site infection prevention 2
    • Biomedical Text Mining and Ontologies 3

D. Shaw

26 papers receiving 340 citations

Peers

D. Shaw
Comparison fields: 5 of 100
  • Equine 9
  • Urology 26
  • Ophthalmology 35
  • Rheumatology 45
  • Epidemiology 98
Replace Scott Goldstein with:
Scott Goldstein United States
Saurabh Varshney India
Stephen Stone United States
Minas Paschopoulos Greece
Anurag Bajpai India
Meinhard Ploner Austria
Rafael Valle United States
Chiara Andreoli Italy
Fatih Gülşen Türkiye
Christoph M. Ziegler Germany
D. Shaw relative to Scott Goldstein United States Scott Goldstein's profile →
Citations per field
00.5×3.5×
Scott Goldstein · 1×
Citations per year

Countries citing papers authored by D. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by D. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Shaw. 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 D. Shaw. The network helps show where D. Shaw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198879
2 197550
3
Neuroepithelial tumor of the optic nerve in a horse.
198340
4 199425
5 200724
6 197323
7 199622
8 199521
9 198915
10 198914
11 199413
12 19949
13 19948
14 19927
15 19897
16 19945
17 19725
18 19905
19
Computer-Aided Instruction for Adult Professionals: A Research Report.
19924
20 20024

About D. Shaw

D. Shaw is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 392 indexed citations. Recurring topics across this work include Congenital Diaphragmatic Hernia Studies (4 papers), AI-based Problem Solving and Planning (3 papers), Biomedical Text Mining and Ontologies (3 papers), Image Processing and 3D Reconstruction (3 papers), Urologic and reproductive health conditions (2 papers), Data Mining Algorithms and Applications (2 papers), Handwritten Text Recognition Techniques (2 papers) and Surgical site infection prevention (2 papers). The work is most often cited by research in Equine (9 citations), Urology (26 citations), Ophthalmology (35 citations), Rheumatology (45 citations) and Epidemiology (98 citations). D. Shaw has collaborated with scholars based in United Kingdom, United States and Cyprus. Frequent co-authors include Gerard A. Riley, Campbell Rj, Stephen I. Bistner, James H. Garrett, D. Devaney, L.J. Yeoman, P.J. Livesley, Claire Cousins, J Somers and A.M. Moody. Their work appears in journals such as The Lancet, Skeletal Radiology, Thorax, Artificial Intelligence in Medicine and Haemophilia.

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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