Ajit Appari

15 papers receiving 468 citations

Peers

Ajit Appari
Comparison fields: 5 of 82
  • Health Information Management 160
  • Health Informatics 12
  • Information Systems 157
  • Medical Laboratory Technology 10
  • Issues, ethics and legal aspects 7
Replace Sherrilynne S. Fuller with:
Sherrilynne S. Fuller United States
Marius Fieschi France
Adela Grando United States
Gray Southon Australia
John Mattison United States
Stefano Bonacina Italy
Angelina Kouroubali Greece
Itamar Shabtai Israel
Josef Ingenerf Germany
Nicolas Terry United States
Ajit Appari relative to Sherrilynne S. Fuller United States Sherrilynne S. Fuller's profile →
Citations per field
00.5×1.5×1.9×
Sherrilynne S. Fuller · 1×
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 2010257
2 201283
3 201151
4
HIPAA compliance: An institutional theory perspective
200922
5 201420
6 201015
7
Information technology and hospital patient safety: a cross-sectional study of US acute care hospitals.
201413
8 201610
9 20179
10 20107
11 20106
12
HIPAA Compliance: An Examination of Institutional and Market Forces.
20095
13 20095
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, Geriatrics and Gerontology and Economics and Econometrics, having authored 16 papers that have together received 508 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Regulation and Compliance Studies (3 papers), Financial Reporting and Valuation Research (2 papers), Software Reliability and Analysis Research (2 papers), Healthcare Policy and Management (2 papers), Software Engineering Research (2 papers) and Software Engineering Techniques and Practices (2 papers). The work is most often cited by research in Health Information Management (160 citations), Health Informatics (12 citations), Information Systems (157 citations), Medical Laboratory Technology (10 citations) and Issues, ethics and legal aspects (7 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, Kevin R. Donahue, Craig M. Pratt, Paulino Álvarez and Jerry D. Estep. Their work appears in journals such as Journal of the Association for Information Systems, Health Services Research, Journal of Systems and Software, IEEE Software and Journal of Health and Social Behavior.

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.

Explore authors with similar magnitude of impact