Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Interaction Terms in Nonlinear Models
2011586 citationsBryan Dowd et al.Health Services Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Bryan Dowd'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 Bryan Dowd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Dowd more than expected).
This network shows the impact of papers produced by Bryan Dowd. 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 Bryan Dowd. The network helps show where Bryan Dowd may publish in the future.
Co-authorship network of co-authors of Bryan Dowd
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Dowd.
A scholar is included among the top collaborators of Bryan Dowd based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bryan Dowd. Bryan Dowd is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kralewski, John E., et al.. (2016). A TALE OF TWO FAMILY PRACTICE CLINICS: HOW THEY ADOPTED PATIENT-CENTERED CARE, BUT COULDN'T SUSTAIN IT.. PubMed. 3(2). 12–8, 20.2 indexed citations
5.
Kralewski, John E., et al.. (2015). The role of nurse practitioners in primary healthcare.. PubMed. 21(6). e366–71.2 indexed citations
6.
Kralewski, John E., et al.. (2014). Do integrated health care systems provide lower-cost, higher-quality care?. PubMed. 40(2). 14–8.6 indexed citations
Kralewski, John E., Eugene C. Rich, Roger Feldman, et al.. (2000). The effects of medical group practice and physician payment methods on costs of care.. PubMed. 35(3). 591–613.61 indexed citations
10.
Stoner, Tamara J., et al.. (1998). Do vouchers improve breast cancer screening rates? Results from a randomized trial.. PubMed. 33(1). 11–28.36 indexed citations
Feldman, Roger, et al.. (1993). The effect of HMOs on premiums in employment-based health plans.. PubMed. 27(6). 779–811.26 indexed citations
13.
Dowd, Bryan, et al.. (1993). A study of Minnesota's high-risk health insurance pool.. PubMed. 30(2). 170–9.5 indexed citations
14.
Dowd, Bryan & Roger Feldman. (1992). Insurer competition and protection from risk redefinition in the individual and small group health insurance market.. PubMed. 29(2). 148–57.6 indexed citations
15.
Feldman, Roger, et al.. (1991). A simultaneous equations model of employer strategies for controlling health benefit costs.. PubMed. 28(1). 56–66.6 indexed citations
16.
Feldman, Roger, M Finch, & Bryan Dowd. (1989). The role of health practices in HMO selection bias: a confirmatory study.. PubMed. 26(3). 381–7.2 indexed citations
17.
Dowd, Bryan, et al.. (1989). Differences in inpatient resource use by type of health plan.. PubMed. 26(3). 388–98.26 indexed citations
18.
Dowd, Bryan & Robert Feldman. (1985). Biased selection in Twin Cities health plans.. PubMed. 6. 253–71.18 indexed citations
19.
Kralewski, John E., et al.. (1984). Effects of contract management on hospital performance.. PubMed. 19(4). 479–98.18 indexed citations
20.
Kralewski, John E., Roger Feldman, Bryan Dowd, & Janet Shapiro. (1984). Employer perspectives on the preferred provider organization concept.. PubMed. 29(4). 123–39.4 indexed citations
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.