Pushpa Kumarapeli

435 total citations
24 papers, 328 citations indexed

About

Pushpa Kumarapeli is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management and General Health Professions. According to data from OpenAlex, Pushpa Kumarapeli has authored 24 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health Information Management, 8 papers in Organizational Behavior and Human Resource Management and 7 papers in General Health Professions. Recurrent topics in Pushpa Kumarapeli's work include Electronic Health Records Systems (10 papers), Healthcare Systems and Technology (8 papers) and Telemedicine and Telehealth Implementation (3 papers). Pushpa Kumarapeli is often cited by papers focused on Electronic Health Records Systems (10 papers), Healthcare Systems and Technology (8 papers) and Telemedicine and Telehealth Implementation (3 papers). Pushpa Kumarapeli collaborates with scholars based in United Kingdom, Australia and Canada. Pushpa Kumarapeli's co-authors include Simon de Lusignan, Jeremy van Vlymen, Nigel Hague, Gill Rowlands, Tom Chan, Rachel Byford, Filipa Ferreira, Sameera Pathirannehelage, Ivelina Yonova and Tim Ellis and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Family Practice.

In The Last Decade

Pushpa Kumarapeli

23 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pushpa Kumarapeli United Kingdom 11 123 117 79 68 65 24 328
Bernard Fernando United Kingdom 9 87 0.7× 145 1.2× 50 0.6× 53 0.8× 41 0.6× 15 350
Alan Hassey United Kingdom 6 125 1.0× 86 0.7× 65 0.8× 54 0.8× 53 0.8× 9 370
Karl M. Kochendorfer United States 9 104 0.8× 101 0.9× 41 0.5× 45 0.7× 29 0.4× 16 248
Eric Pan United States 9 158 1.3× 124 1.1× 67 0.8× 107 1.6× 33 0.5× 14 344
Ruth Perrin United States 6 179 1.5× 135 1.2× 51 0.6× 81 1.2× 64 1.0× 6 422
Sarah Corley United States 8 151 1.2× 162 1.4× 60 0.8× 100 1.5× 43 0.7× 11 412
Lorenzo Bertizzolo France 8 77 0.6× 133 1.1× 31 0.4× 67 1.0× 54 0.8× 11 332
Peter Woodbridge United States 11 184 1.5× 118 1.0× 60 0.8× 114 1.7× 46 0.7× 24 424
Massimo Mangia Italy 5 91 0.7× 165 1.4× 32 0.4× 67 1.0× 39 0.6× 7 314
Agostino Mancuso Italy 6 133 1.1× 129 1.1× 48 0.6× 135 2.0× 35 0.5× 8 427

Countries citing papers authored by Pushpa Kumarapeli

Since Specialization
Citations

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

Fields of papers citing papers by Pushpa Kumarapeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpa Kumarapeli

This figure shows the co-authorship network connecting the top 25 collaborators of Pushpa Kumarapeli. A scholar is included among the top collaborators of Pushpa Kumarapeli 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 Pushpa Kumarapeli. Pushpa Kumarapeli 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.
Kumarapeli, Pushpa, T. S. Haddad, & Simon de Lusignan. (2024). Unlocking the Potential of Free Text in Electronic Health Records with Large Language Models (LLM): Enhancing Patient Safety and Consultation Interactions. Studies in health technology and informatics. 316. 746–750. 1 indexed citations
2.
Pathirannehelage, Sameera, Pushpa Kumarapeli, Rachel Byford, et al.. (2018). Uptake of a Dashboard Designed to Give Realtime Feedback to a Sentinel Network About Key Data Required for Influenza Vaccine Effectiveness Studies. Studies in health technology and informatics. 247. 161–165. 29 indexed citations
3.
Iqbal, Muhammad Shahid, et al.. (2012). The pattern of silent time in the clinical consultation: an observational multichannel video study. Family Practice. 29(5). 616–621. 13 indexed citations
4.
Kumarapeli, Pushpa & Simon de Lusignan. (2012). Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study. Journal of the American Medical Informatics Association. 20(e1). e67–e75. 57 indexed citations
5.
Lusignan, Simon de, Christopher Pearce, Pushpa Kumarapeli, et al.. (2011). Reporting Observational Studies of the Use of Information Technology in the Clinical Consultation. A Position Statement from the International Medical Informatics Association Primary Care Informatics Working Group (IMIA PCI WG). Yearbook of Medical Informatics. 2011. 39–47. 2 indexed citations
6.
Pearce, Christopher, Pushpa Kumarapeli, Charitini Stavropoulou, et al.. (2011). Reporting Observational Studies of the Use of Information Technology in the Clinical Consultation. Yearbook of Medical Informatics. 20(1). 39–47. 11 indexed citations
7.
Lusignan, Simon de, Dorothea Nitsch, Jonathan Belsey, et al.. (2011). Disparities in testing for renal function in UK primary care: cross-sectional study. Family Practice. 28(6). 638–646. 18 indexed citations
8.
Kumarapeli, Pushpa, et al.. (2010). Addressing modifiable risk factors for coronary heart disease in primary care: an evidence-base lost in translation. Family Practice. 27(4). 370–378. 5 indexed citations
9.
Kumarapeli, Pushpa, et al.. (2010). Measuring the impact of the computer on the consultation: An open source application to combine multiple observational outputs. Informatics for Health and Social Care. 35(1). 10–24. 8 indexed citations
10.
Kumarapeli, Pushpa, et al.. (2010). A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement. Studies in health technology and informatics. 160(Pt 1). 724–8. 18 indexed citations
11.
Lusignan, Simon de, et al.. (2009). Using an Open Source Observational Tool to Measure the Influence of the Doctor's Consulting Style and the Computer System on the Outcomes of the Clinical Consultation. Studies in health technology and informatics. 150. 1017–21. 7 indexed citations
12.
Kumarapeli, Pushpa, et al.. (2008). Measuring the impact of different brands of computer systems on theclinical consultation: a pilot study. Journal of Innovation in Health Informatics. 16(2). 119–127. 7 indexed citations
13.
Kumarapeli, Pushpa, et al.. (2008). The feasibility of using UML to compare the impact of differentbrands of computer system on the clinical consultation. Journal of Innovation in Health Informatics. 15(4). 245–253. 7 indexed citations
14.
Lusignan, Simon de, Pushpa Kumarapeli, Tom Chan, et al.. (2008). The ALFA (Activity Log Files Aggregation) Toolkit: A Method for Precise Observation of the Consultation. Journal of Medical Internet Research. 10(4). e27–e27. 19 indexed citations
15.
Kumarapeli, Pushpa, et al.. (2008). Measuring the impact of the computer on the consultation: an application to synchronise multi-channel video, automated monitoring, and rating scales. Research Repository (Kingston University London). 2 indexed citations
16.
Kumarapeli, Pushpa, et al.. (2007). Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement. Medical Informatics and the Internet in Medicine. 32(1). 51–64. 19 indexed citations
17.
Lusignan, Simon de, et al.. (2007). Assessing the impact of recording quality target data on the GP consultation using multi-channel video.. PubMed. 129(Pt 2). 1132–6. 5 indexed citations
18.
Lusignan, Simon de, Nigel Hague, Jeremy van Vlymen, & Pushpa Kumarapeli. (2006). Routinely-collected general practice data are complex, but withsystematic processing can be used for quality improvement andresearch. Journal of Innovation in Health Informatics. 14(1). 59–66. 38 indexed citations
19.
Kumarapeli, Pushpa, et al.. (2006). Online resources for chronic kidney disease (CKD) for primary care. Journal of Innovation in Health Informatics. 14(2). 139–142. 4 indexed citations
20.
Kumarapeli, Pushpa, et al.. (2006). Ethnicity recording in general practice computer systems. Journal of Public Health. 28(3). 283–287. 34 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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