Ajit Appari

780 citations
16 papers · 570 · h-index 9

Impact in

Papers in

Ajit Appari

15 papers receiving 525 citations

Peers

Ajit Appari
Comparison fields: 5 of 79
  • Health Information Management 157
  • Information Systems 171
  • Health Informatics 8
  • Medical Laboratory Technology 8
  • Family Practice 8
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Citations per field
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Citations per year

Countries citing papers authored by Ajit Appari

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Appari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ajit Appari, 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 Ajit Appari Line = papers co-authored together Ajit Appari links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010306
2 201284
3 201150
4
HIPAA compliance: An institutional theory perspective
200924
5 201423
6 201018
7
Information technology and hospital patient safety: a cross-sectional study of US acute care hospitals.
201414
8 201610
9 20179
10 20108
11 20107
12
HIPAA Compliance: An Examination of Institutional and Market Forces.
20096
13 20096
14
A Viable Approach for Measuring the Risk-Return Relationship of IT Investments
20053
15 20152
16
Measurement of information technology investment risks: A multifactor model and its operationalization
20080

About Ajit Appari

Ajit Appari is a scholar working on Health Information Management, Strategy and Management, Information Systems, Family Practice and Sociology and Political Science, having authored 16 papers that have together received 570 indexed citations. Recurring topics across this work include Regulation and Compliance Studies (3 papers), Electronic Health Records Systems (3 papers), Pharmaceutical industry and healthcare (2 papers), Trade Secret Protection Methods (2 papers), Medication Adherence and Compliance (2 papers), Privacy, Security, and Data Protection (2 papers), Financial Reporting and Valuation Research (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Health Information Management (157 citations), Information Systems (171 citations), Health Informatics (8 citations), Medical Laboratory Technology (8 citations) and Family Practice (8 citations). Ajit Appari has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include M. Eric Johnson, Denise Anthony, Michel Benaroch, Eric Johnson, Lee Revere, Ibrahim M. Abbass, Paulino Álvarez, Kevin R. Donahue, Craig M. Pratt and Jerry D. Estep. Their work appears in journals such as Health Services Research, Journal of the Association for Information Systems, Journal of the American Medical Informatics Association, Journal of Systems and Software and Electronic Commerce Research and Applications.

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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