Barry A. Bunting

1.7k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 6

Barry A. Bunting

12 papers receiving 1.2k citations

Hit Papers

The Asheville Project: Long-Term Clinical and Economic Ou...5892003202620102018100200300400500

Peers

Barry A. Bunting
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 931
  • Family Practice 511
  • Applied Microbiology and Biotechnology 85
  • Economics and Econometrics 320
  • General Health Professions 283
Replace Denys T. Lau with:
Denys T. Lau United States
Nadir Kheir Qatar
Richard N. Herrier United States
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Citations per field
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Citations per year

Countries citing papers authored by Barry A. Bunting

Since Specialization
Citations

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

Fields of papers citing papers by Barry A. Bunting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry A. Bunting. 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 Barry A. Bunting. The network helps show where Barry A. Bunting may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Barry A. Bunting, 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 Barry A. Bunting Line = papers co-authored together Barry A. Bunting links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
How can Big Data be used to answer public health research questions
20211
2 20154
3 201138
4
The hickory project: controlling healthcare costs and improving outcomes for diabetes using the asheville project model.
201113
5 2008265
6 2006241
7
The Asheville Project: Long-Term Clinical and Economic Outcomes of a Community Pharmacy Diabetes Care Programbreakdown →
2003589
8 20034
9
A comparative Study of Satisfaction with Life in Europe
1996158
10
Life satisfaction and domain satisfaction in 10 European Countries: correlation at individual level
19965
11
Integration of data and theory: a mixed model of satisfaction
19964
12 19782

About Barry A. Bunting

Barry A. Bunting is a scholar working on Geriatrics and Gerontology, Family Practice and Health Information Management, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (8 papers), Medication Adherence and Compliance (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Pharmaceutical studies and practices (3 papers), Pharmacy and Medical Practices (1 paper), Artificial Intelligence in Healthcare (1 paper), Workplace Health and Well-being (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Geriatrics and Gerontology (931 citations), Family Practice (511 citations) and Applied Microbiology and Biotechnology (85 citations). Barry A. Bunting has collaborated with scholars based in United States. Frequent co-authors include Carole W. Cranor, Dale B. Christensen, Susan E. Sutherland, Benjamin Smith, Willem E. Saris, Ruut Veenhoven, Annette Scherpenzeel, Benjamin M. Bluml, Patrick R. Finley and Christine U. Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Pharmacists Association and PubMed.

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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