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.
National Institutes of Health Consensus Development Conference Statement: Geriatric Assessment Methods for Clinical Decision‐making
19881.1k citationsCharles E. Phelps et al.profile →
Economic foundations of cost-effectiveness analysis
1997521 citationsCharles E. Phelps et al.Journal of Health Economicsprofile →
Defining Elements of Value in Health Care—A Health Economics Approach: An ISPOR Special Task Force Report [3]
2018332 citationsDarius Lakdawalla, Jalpa A. Doshi et al.Value in Healthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Charles E. Phelps
Since
Specialization
Citations
This map shows the geographic impact of Charles E. Phelps'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 Charles E. Phelps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. Phelps more than expected).
Fields of papers citing papers by Charles E. Phelps
This network shows the impact of papers produced by Charles E. Phelps. 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 Charles E. Phelps. The network helps show where Charles E. Phelps may publish in the future.
Co-authorship network of co-authors of Charles E. Phelps
This figure shows the co-authorship network connecting the top 25 collaborators of Charles E. Phelps.
A scholar is included among the top collaborators of Charles E. Phelps 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 Charles E. Phelps. Charles E. Phelps is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lakdawalla, Darius & Charles E. Phelps. (2019). Evaluation of Medical Technologies with Uncertain Benefits. National Bureau of Economic Research.1 indexed citations
Fraser, Graeme, Paula Cramer, Fatih Demırkan, et al.. (2016). IBRUTINIB PLUS BENDAMUSTINE AND RITUXIMAB IN PREVIOUSLY TREATED CHRONIC LYMPHOCYTIC LEUKEMIA/SMALL LYMPHOCYTIC LYMPHOMA (CLL/SLL): 2-YEAR FOLLOW-UP INCLUDING MRD FROM THE HELIOS STUDY. Haematologica. 101. 150–151.4 indexed citations
Liu, Hangsheng, Charles E. Phelps, Peter J. Veazie, et al.. (2009). Managed care quality and disenrollment in New York SCHIP.. PubMed. 15(12). 910–8.1 indexed citations
Phelps, Charles E.. (1990). CONTROL OF ALCOHOL-INVOLVED DRIVING THROUGH IMPERSONAL PREVENTION. 14(1).3 indexed citations
18.
Phelps, Charles E., et al.. (1978). Efficient water use in California : water rights, water districts and water transfers : prepared in part for the California State Assembly Rules Committee and in part under a grant from the Rockefeller Foundation.8 indexed citations
19.
Phelps, Charles E., et al.. (1978). Subtle impact of price controls on domestic oil production. American Economic Review. 68(2). 428–433.13 indexed citations
20.
Phelps, Charles E.. (1976). Research in Health Economics: HERO and AEA Sessions in Dallas. Health Services Research. 11(1). 79–86.1 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.