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.
The accuracy of Medicare's hospital claims data: progress has been made, but problems remain.
1992636 citationsElliot S. Fisher, Fredrick S. Whaley et al.American Journal of Public Healthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of David C. Hsia'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 David C. Hsia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hsia more than expected).
This network shows the impact of papers produced by David C. Hsia. 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 David C. Hsia. The network helps show where David C. Hsia may publish in the future.
Co-authorship network of co-authors of David C. Hsia
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Hsia.
A scholar is included among the top collaborators of David C. Hsia 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 David C. Hsia. David C. Hsia is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shapiro, Martin F., Marc L. Berk, Sandra H. Berry, et al.. (1999). National probability samples in studies of low-prevalence diseases. Part I: Perspectives and lessons from the HIV cost and services utilization study.. PubMed. 34(5 Pt 1). 951–68.109 indexed citations
5.
Shapiro, Martin F., Marc L. Berk, Sandra H. Berry, et al.. (1999). National Probability Samples in Studies of Low-Prevalence Diseases.51 indexed citations
Fleishman, John A., David C. Hsia, & Fred J. Hellinger. (1994). Correlates of medical service utilization among people with HIV infection.. PubMed. 29(5). 527–48.87 indexed citations
9.
Hellinger, Fred J., John A. Fleishman, & David C. Hsia. (1994). AIDS treatment costs during the last months of life: evidence from the ACSUS.. PubMed. 29(5). 569–81.37 indexed citations
Fisher, Elliot S., Fredrick S. Whaley, W. Mark Krushat, et al.. (1992). The accuracy of Medicare's hospital claims data: progress has been made, but problems remain.. American Journal of Public Health. 82(2). 243–248.636 indexed citations breakdown →
Hsia, David C.. (1978). Credit Scoring and the Equal Credit Opportunity Act. Hastings law journal. 30(2). 371.35 indexed citations
20.
Hsia, David C.. (1977). The Effects Test: New Directions. eYLS (Yale Law School). 17(4). 777.2 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.