James Agutter

26 papers receiving 606 citations

Peers

James Agutter
Comparison fields: 5 of 88
  • Medical Laboratory Technology 25
  • Anesthesiology and Pain Medicine 47
  • Health Information Management 43
  • Computer Vision and Pattern Recognition 212
  • Statistical and Nonlinear Physics 92
Replace Dustin Dunsmuir with:
Dustin Dunsmuir Canada
Jim Hunter United Kingdom
Yeha Lee South Korea
Nelson Wong United States
Lin You China
Taha Samad‐Soltani Iran
Jim Basilakis Australia
David C. Kale United States
Daniel Fabbri United States
J. A. Blom Netherlands
James Agutter relative to Dustin Dunsmuir Canada Dustin Dunsmuir's profile →
Citations per field
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Dustin Dunsmuir · 1×
Citations per year

Countries citing papers authored by James Agutter

Since Specialization
Citations

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

Fields of papers citing papers by James Agutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James Agutter, 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 James Agutter Line = papers co-authored together James Agutter 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 200579
2 201473
3 200665
4 200264
5 201262
6 200356
7 200653
8 200636
9 200727
10 201827
11 201724
12 201016
13 201214
14 200711
15 201611
16 202310
17 20015
18 20234
19 20034
20 20083

About James Agutter

James Agutter is a scholar working on Surgery, Computer Vision and Pattern Recognition, Health Information Management, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 27 papers that have together received 656 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (9 papers), Data Visualization and Analytics (5 papers), Electronic Health Records Systems (4 papers), Quality and Safety in Healthcare (3 papers), Complex Network Analysis Techniques (3 papers), Human-Automation Interaction and Safety (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Information Systems Theories and Implementation (2 papers). The work is most often cited by research in Medical Laboratory Technology (25 citations), Anesthesiology and Pain Medicine (47 citations), Health Information Management (43 citations), Computer Vision and Pattern Recognition (212 citations) and Statistical and Nonlinear Physics (92 citations). James Agutter has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Stefano Foresti, Yarden Livnat, Dwayne R. Westenskow, Robert F. Erbacher, Frank A. Drews, David L. Strayer, Miriah Meyer, Noah Syroid, Sean A. McKenna and Matthew B. Weinger. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, Human Factors The Journal of the Human Factors and Ergonomics Society, Journal of the American Medical Informatics Association and Journal of Applied Gerontology.

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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