Stephen Bonner

51 papers receiving 1.1k citations

Peers

Stephen Bonner
Comparison fields: 5 of 131
  • Critical Care and Intensive Care Medicine 198
  • Radiological and Ultrasound Technology 105
  • Geriatrics and Gerontology 58
  • Toxicology 47
  • Anesthesiology and Pain Medicine 52
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Citations per year

Countries citing papers authored by Stephen Bonner

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Bonner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 2017117
3
A code of practice for the diagnosis and confirmation of death
2008100
4 201979
5 202265
6 201455
7 199750
8 200543
9 201741
10 202234
11 200534
12 200026
13 201425
14 199724
15 200118
16
Style augmentation: data augmentation via style randomization
201917
17 200216
18 201915
19
Using OpenStack to improve student experience in an H.E. environment
201314
20 201814

About Stephen Bonner

Stephen Bonner is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Surgery, Molecular Biology and Computational Theory and Mathematics, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Intensive Care Unit Cognitive Disorders (5 papers), Complex Network Analysis Techniques (5 papers), Organ Donation and Transplantation (5 papers), Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (198 citations), Radiological and Ultrasound Technology (105 citations), Geriatrics and Gerontology (58 citations), Toxicology (47 citations) and Anesthesiology and Pain Medicine (52 citations). Stephen Bonner has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include John Brennan, A. Stephen McGough, Ian P. Barrett, Amir Atapour–Abarghouei, Toby P. Breckon, Gareth Thomas, Keith Hugill, Ola Engkvist, Noura Al Moubayed and Cheng Ye. Their work appears in journals such as Anaesthesia, Journal of the Intensive Care Society, Neurosurgery, British Journal of Anaesthesia and Journal of Telemedicine and Telecare.

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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