Ryan J. Cunningham

417 citations
28 papers · 295 · h-index 11

Impact in

Papers in

Ryan J. Cunningham

26 papers receiving 282 citations

Peers

Ryan J. Cunningham
Comparison fields: 5 of 47
  • Health Informatics 26
  • Computer Vision and Pattern Recognition 104
  • Software 14
  • Experimental and Cognitive Psychology 42
  • Radiology, Nuclear Medicine and Imaging 41
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Jin-Woo Jeong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ryan J. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ryan J. Cunningham, 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 Ryan J. Cunningham Line = papers co-authored together Ryan J. Cunningham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202239
2 201633
3 201832
4 202029
5 201722
6 198517
7 202017
8
Formal requirements specification: the FOREST project
198616
9 201615
10 201914
11 200511
12 19898
13 19908
14
On the problem of embedding picture elements in regions
19765
15 20164
16 20214
17 19763
18 20063
19
Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to Motor Neuron Disease
20163
20
Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting.
20213

About Ryan J. Cunningham

Ryan J. Cunningham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 28 papers that have together received 295 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Medical Image Segmentation Techniques (6 papers), Formal Methods in Verification (4 papers), Logic, Reasoning, and Knowledge (4 papers), Software Engineering Techniques and Practices (3 papers), Ultrasound Imaging and Elastography (3 papers), Emotion and Mood Recognition (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Vision and Pattern Recognition (104 citations), Software (14 citations), Experimental and Cognitive Psychology (42 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Ryan J. Cunningham has collaborated with scholars based in United Kingdom, Brazil and Italy. Frequent co-authors include Ian D. Loram, Anthony Finkelstein, Moi Hoon Yap, Adrian K. Davison, Jingting Li, Sujing Wang, Connah Kendrick, Penelope B Butler, Yoram Yakimovsky and Alison Loram. Their work appears in journals such as Software Practice and Experience, Journal of The Royal Society Interface, Acta Informatica, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Royal Society Open Science.

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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