Archana Tapuria

18 papers receiving 299 citations

Archana Tapuria's Hit Papers

Impact of patient access to their electronic health record: systematic review 2021 · 125 citations
1250+1+3Years since publication4080120

Peers

Archana Tapuria
Comparison fields: 5 of 61
  • Health Information Management 82
  • Health Informatics 9
  • Issues, ethics and legal aspects 5
  • Artificial Intelligence 84
  • General Dentistry 2
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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-authors

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

All Works

19 of 19 papers shown
#Work
1
Impact of patient access to their electronic health record: systematic review
Hit paper breakdown →
2021125
2
The CLEF corpus: semantic annotation of clinical text.
200789
3 201127
4 201320
5 201513
6 201212
7 20085
8 20084
9 20184
10 20243
11
Development and evaluation of a memory clinic information system.
20143
12 20163
13 20133
14 20171
15 20191
16 20201
17 20201
18
MeTMapS-Medical terminology mapping system
20161
19 20180

About Archana Tapuria

Archana Tapuria is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management, Molecular Biology, General Health Professions and Artificial Intelligence, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Electronic Health Records Systems (8 papers), Healthcare Systems and Technology (4 papers), Biomedical Text Mining and Ontologies (3 papers), Semantic Web and Ontologies (3 papers), Scientific Computing and Data Management (2 papers), Mobile Health and mHealth Applications (2 papers), Genomics and Rare Diseases (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Health Information Management (82 citations), Health Informatics (9 citations), Issues, ethics and legal aspects (5 citations), Artificial Intelligence (84 citations) and General Dentistry (2 citations). Archana Tapuria has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Dipak Kalra, Vasa Ćurčin, Talya Porat, Xiaohui Sun, Robert Gaizauskas, Andrea Setzer, Mark Hepple, Yikun Guo, George Demetriou and Ian Roberts. Their work appears in journals such as International Journal of Medical Informatics, BMC Medical Research Methodology, Digital Health, Informatics for Health and Social Care and Healthcare Informatics Research.

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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