Peter Singleton

976 citations
19 papers · 662 · h-index 9

Impact in

Papers in

Peter Singleton

17 papers receiving 616 citations

Peers

Peter Singleton
Comparison fields: 5 of 91
  • Health Information Management 207
  • Medical Terminology 3
  • Health Informatics 17
  • Public Health, Environmental and Occupational Health 112
  • Information Systems and Management 31
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Citations per field
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Citations per year

Countries citing papers authored by Peter Singleton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Singleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013250
2 2007246
3 200639
4 200635
5
CLEF: joining up healthcare with clinical and post-genomic research
200324
6 200523
7
A linkable identity privacy algorithm for HealthGrid.
200511
8
Security and confidentiality approach for the Clinical E-Science Framework (CLEF).
200511
9
Electronic Personal Health Records: Emergence and Implications for the UK
20078
10
Joining up health and bioinformatics: e-science meets e-health
20043
11
A primary change-over.
19893
12
Critical Issues for Electronic Health Records
20092
13 20092
14 20141
15 20241
16 20051
17 20051
18
A Co-operative Clinical E-Science Framework (CLEF): joining up healthcare and clinical research
20041
19 20230

About Peter Singleton

Peter Singleton is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management, Molecular Biology, Artificial Intelligence and Infectious Diseases, having authored 19 papers that have together received 662 indexed citations. Recurring topics across this work include Ethics in Clinical Research (8 papers), Electronic Health Records Systems (6 papers), Biomedical Text Mining and Ontologies (4 papers), Patient Dignity and Privacy (2 papers), Healthcare cost, quality, practices (1 paper), Medical Malpractice and Liability Issues (1 paper), Antifungal resistance and susceptibility (1 paper) and Artificial Intelligence in Law (1 paper). The work is most often cited by research in Health Information Management (207 citations), Medical Terminology (3 citations), Health Informatics (17 citations), Public Health, Environmental and Occupational Health (112 citations) and Information Systems and Management (31 citations). Peter Singleton has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Don E. Detmer, Claudia Pagliari, D. Kalra, Georges De Moor, Martin Dugas, Gunnar O. Klein, Christel Daniel, Mats Sundgren, Danielle Dupont and Andreas Schmidt. Their work appears in journals such as Journal of Cystic Fibrosis, Methods of Information in Medicine, Journal of Internal Medicine, BMJ and Vieweg+Teubner eBooks.

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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