Andrew Hunter

3.7k citations
151 papers · 2.9k · h-index 23

Impact in

Papers in

Andrew Hunter

135 papers receiving 2.8k citations

Peers

Andrew Hunter
Comparison fields: 5 of 150
  • Ophthalmology 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 502
  • Health Information Management 63
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Thomas P. Karnowski United States
Muhammad Usman Akram Pakistan
Tehmina Khalil Pakistan
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Citations per field
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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 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009361
2 2004325
3 2004205
4 2018168
5 2000144
6 2002120
7 2002114
8 200890
9 201360
10 201343
11 201041
12 200639
13 201735
14 201833
15 200832
16 201431
17 200030
18 201129
19 200426
20 201825

About Andrew Hunter

Andrew Hunter is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Human-Computer Interaction, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (44 papers), Retinal Diseases and Treatments (32 papers), Glaucoma and retinal disorders (28 papers), Video Surveillance and Tracking Methods (24 papers), Neural Networks and Applications (13 papers), Advanced Vision and Imaging (12 papers), Evolutionary Algorithms and Applications (11 papers) and Metaheuristic Optimization Algorithms Research (10 papers). The work is most often cited by research in Ophthalmology (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (502 citations) and Health Information Management (63 citations). Andrew Hunter has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Bashir Al-Diri, DAVID H. STEEL, James A. Lowell, Robert E. J. Ryder, Lee Kennedy, Ansu Basu, JD Owens, Kofi Appiah, Francesco Calivá and Patrick Dickinson. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Image and Vision Computing, IEEE Transactions on Medical Imaging, Computers in Biology and Medicine and Computer Graphics Forum.

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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