Archana Tapuria

461 total citations
18 papers, 299 citations indexed

About

Archana Tapuria is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Archana Tapuria has authored 18 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health Information Management, 5 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Archana Tapuria's work include Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (5 papers) and Semantic Web and Ontologies (4 papers). Archana Tapuria is often cited by papers focused on Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (5 papers) and Semantic Web and Ontologies (4 papers). Archana Tapuria collaborates with scholars based in United Kingdom, Qatar and Germany. Archana Tapuria's co-authors include Dipak Kalra, Vasa Ćurčin, Xiaohui Sun, Talya Porat, Mark Hepple, Angus Roberts, Robert Gaizauskas, Yikun Guo, Andrea Setzer and George Demetriou and has published in prestigious journals such as BMC Medical Research Methodology, International Journal of Medical Informatics and Journal of Healthcare Engineering.

In The Last Decade

Archana Tapuria

17 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Archana Tapuria United Kingdom	6	106	100	96	65	49	18	299
T. Elizabeth Workman United States	10	120 1.1×	122 1.2×	56 0.6×	112 1.7×	55 1.1×	40	404
Nadir Ammour France	7	79 0.7×	63 0.6×	120 1.3×	38 0.6×	94 1.9×	11	333
Georges J.E. De Moor Belgium	6	103 1.0×	121 1.2×	102 1.1×	54 0.8×	55 1.1×	15	301
Susan H. Fenton United States	12	138 1.3×	157 1.6×	227 2.4×	103 1.6×	78 1.6×	62	502
Derek Corrigan Ireland	8	41 0.4×	39 0.4×	73 0.8×	69 1.1×	44 0.9×	20	265
M Corn United States	8	97 0.9×	78 0.8×	129 1.3×	188 2.9×	90 1.8×	19	487
Sue E Bowman Belgium	7	47 0.4×	60 0.6×	226 2.4×	73 1.1×	84 1.7×	21	381
Susan Matney United States	13	59 0.6×	121 1.2×	240 2.5×	103 1.6×	68 1.4×	27	439
Meredith Nahm United States	11	94 0.9×	132 1.3×	161 1.7×	64 1.0×	128 2.6×	22	467
Borim Ryu South Korea	11	90 0.8×	35 0.3×	95 1.0×	98 1.5×	42 0.9×	27	323

Countries citing papers authored by Archana Tapuria

Since Specialization

Citations

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

Fields of papers citing papers by Archana Tapuria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Tapuria

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Tapuria. A scholar is included among the top collaborators of Archana Tapuria 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 Archana Tapuria. Archana Tapuria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Tapuria, Archana, et al.. (2021). Impact of patient access to their electronic health record: systematic review. Informatics for Health and Social Care. 46(2). 194–206. 111 indexed citations

Tapuria, Archana, Dipak Kalra, & Vasa Ćurčin. (2020). Feasibility of Using EN 13606 Clinical Archetypes for Defining Computable Phenotypes. Studies in health technology and informatics. 270. 228–232. 1 indexed citations

Tapuria, Archana, et al.. (2020). Development and Usability Evaluation of GreyMatters: A Memory Clinic Information System. 4(2). e149–e156. 1 indexed citations

Tapuria, Archana. (2019). Impact of promoting patient access to their Electronic Health Care Record: A Systematic Review (Preprint). 1 indexed citations

Tapuria, Archana, et al.. (2018). Identifying Audit Trail Viewer Requirements for User-Focused Design: A Qualitative Focus Group Study. Research Portal (King's College London). 80. 405–406.

Tapuria, Archana, Philipp Bruland, Brendan Delaney, Dipak Kalra, & Vasa Ćurčin. (2018). Comparison and transformation between CDISC ODM and EN13606 EHR standards in connecting EHR data with clinical trial research data. Digital Health. 4. 1343132236–1343132236. 4 indexed citations

Tapuria, Archana, et al.. (2017). Establishment of Requirements and Methodology for the Development and Implementation of GreyMatters, a Memory Clinic Information System. Studies in health technology and informatics. 235. 18–22. 1 indexed citations

Lea, Nathan, et al.. (2016). Patterns: a simple but expressive data modelling formalism. Research Portal (King's College London). 4(1). 74–74. 3 indexed citations

Éthier, Jean‐François, et al.. (2016). MeTMapS-Medical terminology mapping system. Research Portal (King's College London). 1692. 1–2. 1 indexed citations

10.

Nguyen, David H., et al.. (2015). An Electronic Healthcare Record Server Implemented in PostgreSQL. Journal of Healthcare Engineering. 6(3). 325–344. 13 indexed citations

11.

Tapuria, Archana, et al.. (2014). Development and evaluation of a memory clinic information system.. PubMed. 205. 106–10. 3 indexed citations

12.

Tapuria, Archana, Dipak Kalra, & Shinji Kobayashi. (2013). Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs. Healthcare Informatics Research. 19(4). 286–286. 20 indexed citations

13.

Tapuria, Archana, Nathan Lea, Steve Iliffe, et al.. (2013). Clinical advantages of decision support tool for anticoagulation control. 101. 331–334. 3 indexed citations

14.

Kalra, Dipak, et al.. (2012). Quality requirements for EHR Archetypes. Studies in health technology and informatics. 180. 48–52. 12 indexed citations

15.

Iliffe, Steve, Kalpa Kharicha, Greta Rait, et al.. (2011). Developing a Dementia Research Registry: a descriptive case study from North Thames DeNDRoN and the EVIDEM programme. BMC Medical Research Methodology. 11(1). 9–9. 27 indexed citations

16.

Kalra, D., et al.. (2008). Management and maintenance policies for EHR interoperability resources [36 pages]. UCL Discovery (University College London). 157(1). 62–5. 4 indexed citations

17.

Kalra, D., et al.. (2008). Implementation of a query interface for a generic record server. International Journal of Medical Informatics. 77(11). 754–764. 5 indexed citations

18.

Roberts, Angus, Robert Gaizauskas, Mark Hepple, et al.. (2007). The CLEF corpus: semantic annotation of clinical text.. PubMed. 625–9. 89 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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