Stephen Kay

1.4k total citations
45 papers, 971 citations indexed

About

Stephen Kay is a scholar working on Health Information Management, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Stephen Kay has authored 45 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 11 papers in Molecular Biology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Stephen Kay's work include Electronic Health Records Systems (14 papers), Biomedical Text Mining and Ontologies (11 papers) and Clinical practice guidelines implementation (5 papers). Stephen Kay is often cited by papers focused on Electronic Health Records Systems (14 papers), Biomedical Text Mining and Ontologies (11 papers) and Clinical practice guidelines implementation (5 papers). Stephen Kay collaborates with scholars based in United Kingdom, United States and Switzerland. Stephen Kay's co-authors include W. A. Nowlan, A Rector, David Price, Angela Williams, Mike Thomas, James Pike, Jacqueline R. Carranza Rosenzweig, Elizabeth V. Hillyer, Peter Anderson and Mark Small and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Allergy and Computers & Structures.

In The Last Decade

Stephen Kay

43 papers receiving 912 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Kay United Kingdom 15 329 263 253 197 156 45 971
Adolfo Muñoz Carrero Spain 15 47 0.1× 114 0.4× 130 0.5× 79 0.4× 71 0.5× 42 759
Maulik D. Majmudar United States 15 180 0.5× 57 0.2× 50 0.2× 134 0.7× 28 0.2× 37 1.1k
Tim Benson United Kingdom 19 34 0.1× 33 0.1× 247 1.0× 149 0.8× 168 1.1× 50 1.1k
Zonglin He China 15 58 0.2× 140 0.5× 44 0.2× 55 0.3× 92 0.6× 40 854
Bernhard Breil Germany 16 32 0.1× 44 0.2× 126 0.5× 108 0.5× 65 0.4× 47 629
Rachel Hicklen United States 11 70 0.2× 118 0.4× 26 0.1× 51 0.3× 67 0.4× 28 853
Carlos H. Salvador Spain 13 51 0.2× 107 0.4× 61 0.2× 38 0.2× 31 0.2× 35 670
Brecht Claerhout Spain 10 38 0.1× 42 0.2× 218 0.9× 188 1.0× 193 1.2× 31 827
Joël Kuiper Netherlands 11 49 0.1× 78 0.3× 21 0.1× 207 1.1× 255 1.6× 15 849
Akram Alyass Canada 13 108 0.3× 29 0.1× 42 0.2× 285 1.4× 46 0.3× 23 896

Countries citing papers authored by Stephen Kay

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Kay. A scholar is included among the top collaborators of Stephen Kay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Kay. Stephen Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kay, Stephen, et al.. (2020). The International Patient Summary Standard and the Extensibility Requirement. Studies in health technology and informatics. 273. 54–62. 9 indexed citations
2.
Jing, Xia, et al.. (2018). Identifying Principles for the Construction of an Ontology-Based Knowledge Base: A Case Study Approach. JMIR Medical Informatics. 6(4). e52–e52. 3 indexed citations
3.
Scott, Philip, Iain Carpenter, David I. Harvey, et al.. (2015). Developing a conformance methodology for clinically-defined medical record headings: A preliminary report. Portsmouth Research Portal (University of Portsmouth). 11(2). 3 indexed citations
4.
Kay, Stephen, et al.. (2013). The Construction of Identities in Narratives about Serious Leisure Occupations. Journal of Occupational Science. 22(3). 260–276. 31 indexed citations
5.
Kay, Stephen, Keith Tolley, Danielle Colayco, et al.. (2013). Mapping EQ-5D Utility Scores from the Incontinence Quality of Life Questionnaire among Patients with Neurogenic and Idiopathic Overactive Bladder. Value in Health. 16(2). 394–402. 29 indexed citations
6.
Kay, Stephen & A. Ferreira. (2012). PRM78 Mapping of the National Eye Institute 25-Item Visual Functioning Questionnaire (VFQ-25) to EQ-5D Utility Scores. Value in Health. 15(7). A474–A474. 1 indexed citations
7.
Jing, Xia, Stephen Kay, Thomas Marley, Nicholas R. Hardiker, & James J. Cimino. (2011). Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard. Journal of Biomedical Informatics. 45(1). 82–92. 25 indexed citations
8.
10.
Small, Mark, Adrian Vickers, Peter Anderson, & Stephen Kay. (2010). The patient-physician partnership in asthma: Real-world observations associated with clinical and patient-reported outcomes. Advances in Therapy. 27(9). 591–599. 18 indexed citations
11.
Malloy, Michael J., et al.. (2009). Post-PharmD Industry Fellowship Opportunities and Proposed Guidelines for Uniformity. American Journal of Pharmaceutical Education. 73(1). 20–20. 12 indexed citations
12.
Higgins, Victoria, Stephen Kay, & Mark Small. (2007). Physician and patient survey of allergic rhinitis: methodology. Allergy. 62(s85). 6–8. 10 indexed citations
13.
Kay, Stephen. (2005). Usability: A critical success factor for managing change in the clinical infostructure. Medical Informatics and the Internet in Medicine. 30(2). 173–178. 4 indexed citations
14.
Kay, Stephen, et al.. (2005). Simplifying the complexity surrounding ICU work processes—Identifying the scope for information management in ICU settings. International Journal of Medical Informatics. 74(7-8). 643–656. 7 indexed citations
15.
Kay, Stephen, et al.. (1998). Process modelling and simulation for managing clinical care in the community.. PubMed. 270–4. 2 indexed citations
16.
Hillier, V F, Alan Rector, Chris Taylor, & Stephen Kay. (1997). Medical Informatics Education at the University of Manchester. Yearbook of Medical Informatics. 6(1). 101–107. 1 indexed citations
17.
Kay, Stephen, et al.. (1994). SAPPHIRE: scenarios, architecture, and process. Computer Methods and Programs in Biomedicine. 43(3-4). 217–225. 3 indexed citations
18.
Rector, A, W. A. Nowlan, & Stephen Kay. (1990). Unifying Medical Information Using an Architecture Based on Descriptions.. PubMed Central. 190–194. 16 indexed citations
19.
Rector, Alan, et al.. (1990). Shedding light on patients' problems: integrating knowledge based systems into medical practice. Research Explorer (The University of Manchester). 531–534. 4 indexed citations
20.
Kay, Stephen. (1990). Towards relevant medical information systems. Medical Informatics. 15(4). 327–331. 4 indexed citations

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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