Stephen Kay

43 papers receiving 923 citations

Peers

Stephen Kay
Comparison fields: 5 of 109
  • Health Information Management 209
  • Immunology and Allergy 55
  • Issues, ethics and legal aspects 11
  • Physiology 230
  • Medical Terminology 2
Replace Rachel Richesson with:
Rachel Richesson United States
Huibert Tange Netherlands
Rachel Hicklen United States
Carlos H. Salvador Spain
Adolfo Muñoz Carrero Spain
Bernhard Breil Germany
Mario Carrasco Spain
Donald A. B. Lindberg United States
Carlos Luís Parra-Calderón Spain
Blake Murdoch Canada
Stephen Kay relative to Rachel Richesson United States Rachel Richesson's profile →
Citations per field
00.5×10×13.8×
Rachel Richesson · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009229
2 1991151
3 201185
4 201159
5 199358
6 199643
7 201333
8 201432
9 201329
10 201125
11
Evaluating large scale health information systems: from practice towards theory.
199725
12
A patient care workstation based on user centred design and a formal theory of medical terminology: PEN&PAD and the SMK formalism.
199121
13 201018
14 199917
15
Unifying Medical Information Using an Architecture Based on Descriptions.
199016
16 199213
17 200912
18
Interoperability standards enabling cross-border patient summary exchange.
201412
19 202010
20 200710

About Stephen Kay

Stephen Kay is a scholar working on Health Information Management, Molecular Biology, Public Health, Environmental and Occupational Health, Management Information Systems and Artificial Intelligence, having authored 45 papers that have together received 980 indexed citations. Recurring topics across this work include Electronic Health Records Systems (14 papers), Biomedical Text Mining and Ontologies (9 papers), Clinical practice guidelines implementation (5 papers), Semantic Web and Ontologies (4 papers), Allergic Rhinitis and Sensitization (3 papers), Business Process Modeling and Analysis (3 papers), Genomics and Rare Diseases (3 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). The work is most often cited by research in Health Information Management (209 citations), Immunology and Allergy (55 citations), Issues, ethics and legal aspects (11 citations), Physiology (230 citations) and Medical Terminology (2 citations). Stephen Kay has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include W. A. Nowlan, A Rector, Angela Williams, Mike Thomas, Elizabeth V. Hillyer, James Pike, David Price, Jacqueline R. Carranza Rosenzweig, Peter Anderson and Mark Small. Their work appears in journals such as Methods of Information in Medicine, Value in Health, Advances in Therapy, Journal of Medical Economics and Journal of Biomedical Informatics.

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.

Explore authors with similar magnitude of impact