Vaishali Patel

89 papers receiving 3.5k citations

Vaishali Patel's Hit Papers

Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide 2017 · 261 citations
2610+3+6Years since publication50100150200250

Peers

Vaishali Patel
Comparison fields: 5 of 162
  • Health Information Management 1.2k
  • Medical Terminology 28
  • Organizational Behavior and Human Resource Management 572
  • Health Informatics 62
  • General Health Professions 1.0k
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Countries citing papers authored by Vaishali Patel

Since Specialization
Citations

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

Fields of papers citing papers by Vaishali Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide
Hit paper breakdown →
2017261
2 2006226
3 2013199
4 2014198
5 2009149
6 2007130
7 2013113
8
Public attitudes toward health information exchange: perceived benefits and concerns.
201199
9 201399
10 200792
11 200887
12 201387
13 202286
14 201784
15 201279
16 201072
17 201372
18 201571
19 201671
20 201468

About Vaishali Patel

Vaishali Patel is a scholar working on Health Information Management, General Health Professions, Organizational Behavior and Human Resource Management, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 99 papers that have together received 3.6k indexed citations. Recurring topics across this work include Electronic Health Records Systems (40 papers), Healthcare Systems and Technology (27 papers), Health Literacy and Information Accessibility (9 papers), Mobile Health and mHealth Applications (9 papers), Proteoglycans and glycosaminoglycans research (9 papers), Biomedical Text Mining and Ontologies (9 papers), Telemedicine and Telehealth Implementation (8 papers) and Fibroblast Growth Factor Research (8 papers). The work is most often cited by research in Health Information Management (1.2k citations), Medical Terminology (28 citations), Organizational Behavior and Human Resource Management (572 citations), Health Informatics (62 citations) and General Health Professions (1.0k citations). Vaishali Patel has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Matthew P. Hoffman, Michael F. Furukawa, Julia Adler‐Milstein, Ivan T. Rebustini, Rainu Kaushal, Eric Jamoom, Jennifer King, A Jay Holmgren, Erika L. Abramson and Ashish K. Jha. Their work appears in journals such as Journal of the American Medical Informatics Association, Health Affairs, JAMA Network Open, Health Services Research and Healthcare.

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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