Ajit Appari

12 papers and 210 indexed citations i.

About

Ajit Appari is a scholar working on Strategy and Management, Health Information Management and Geriatrics and Gerontology. According to data from OpenAlex, Ajit Appari has authored 12 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Strategy and Management, 4 papers in Health Information Management and 3 papers in Geriatrics and Gerontology. Recurrent topics in Ajit Appari’s work include Pharmaceutical Practices and Patient Outcomes (3 papers), Electronic Health Records Systems (3 papers) and Medication Adherence and Compliance (2 papers). Ajit Appari is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (3 papers), Electronic Health Records Systems (3 papers) and Medication Adherence and Compliance (2 papers). Ajit Appari collaborates with scholars based in United States and United Kingdom. Ajit Appari's co-authors include Denise Anthony, M. Eric Johnson, Michel Benaroch, Lee Revere, Ibrahim M. Abbass, Jerry D. Estep, Kevin R. Donahue, Craig M. Pratt and Paulino Álvarez and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Health and Social Behavior and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Ajit Appari i

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.

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).

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

Rankless by CCL
2025