K Thiru

787 citations
14 papers · 607 · h-index 9

Impact in

Papers in

    • Electronic Health Records Systems 6
    • Artificial Intelligence in Healthcare 1
    • Lipoproteins and Cardiovascular Health 1
    • Healthcare Technology and Patient Monitoring 1

K Thiru

14 papers receiving 567 citations

Peers

K Thiru
Comparison fields: 5 of 86
  • Health Information Management 139
  • Emergency Medicine 78
  • Medical Terminology 1
  • Issues, ethics and legal aspects 4
  • Management Science and Operations Research 40
Replace Derek W Meeks with:
Derek W Meeks United States
Kevin M. Baumlin United States
Annemie Heselmans Belgium
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Citations per field
00.5×2.9×
Derek W Meeks · 1×
Citations per year

Countries citing papers authored by K Thiru

Since Specialization
Citations

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

Fields of papers citing papers by K Thiru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003285
2 2010130
3 200354
4 200847
5
Towards a conceptual framework for evaluating primary care research networks.
200020
6 199917
7 200313
8 200910
9 19998
10 20006
11 20095
12 20025
13
Use of computer systems in a primary care research network: Implications for the NHS information strategy
20014
14
A validated logistic regression model to identify coronary heart disease patients within primary care databases in the United kingdom.
20033

About K Thiru

K Thiru is a scholar working on Health Information Management, Surgery, Organizational Behavior and Human Resource Management, Molecular Biology and General Health Professions, having authored 14 papers that have together received 607 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Healthcare Systems and Technology (2 papers), Chronic Disease Management Strategies (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Data Quality and Management (1 paper), Biomedical Text Mining and Ontologies (1 paper), Artificial Intelligence in Healthcare (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Health Information Management (139 citations), Emergency Medicine (78 citations), Medical Terminology (1 citation), Issues, ethics and legal aspects (4 citations) and Management Science and Operations Research (40 citations). K Thiru has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Simon de Lusignan, Roger Parslow, Elizabeth S. Draper, David A Harrison, Padmanabhan Ramnarayan, Kathy Rowan, Nigel Hague, Gareth Parry, Tim Chater and Frank Sullivan. Their work appears in journals such as Journal of Innovation in Health Informatics, Public Health, The Lancet, Journal of Public Health and Archives of Disease in Childhood.

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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