Andrew Hunter

3.6k citations
142 papers · 2.5k indexed · h-index 22

Impact in

Papers in

Andrew Hunter

125 papers receiving 2.3k citations

Peers

Andrew Hunter
Comparison fields: 5 of 153
  • Ophthalmology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 404
  • Health Information Management 55
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Thomas P. Karnowski United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Andrew Hunter

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Hunter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009305
2 2004285
3 2004174
4 2018151
5 2000139
6 2002109
7 200293
8 200883
9 201355
10 200635
11 201334
12 201033
13 201729
14 201127
15 201427
16 200827
17 201827
18 200024
19 201222
20 200421

About Andrew Hunter

Andrew Hunter is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence and Electrical and Electronic Engineering, having authored 142 papers that have together received 2.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (42 papers), Retinal Diseases and Treatments (30 papers), Glaucoma and retinal disorders (28 papers), Video Surveillance and Tracking Methods (24 papers), Advanced Vision and Imaging (12 papers), Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Ophthalmology (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (404 citations) and Health Information Management (55 citations). Andrew Hunter has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Bashir Al-Diri, David Steel, J. Lowell, Lee Kennedy, Ansu Basu, Robert E. J. Ryder, Kofi Appiah, JD Owens, Francesco Calivá and Patrick Dickinson. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Medical Imaging, Investigative Ophthalmology & Visual Science, Computer Vision and Image Understanding and Computer Methods and Programs in Biomedicine.

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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