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 medical care costs of obesity: An instrumental variables approach
2011993 citationsJohn Cawley, Chad D. MeyerhoeferJournal of Health Economicsprofile →
COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan
2020231 citationsHung‐Hao Chang, Chad D. Meyerhoeferprofile →
Direct medical costs of obesity in the United States and the most populous states
2021224 citationsJohn Cawley, Adam Biener et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Chad D. Meyerhoefer
Since
Specialization
Citations
This map shows the geographic impact of Chad D. Meyerhoefer'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 Chad D. Meyerhoefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad D. Meyerhoefer more than expected).
Fields of papers citing papers by Chad D. Meyerhoefer
This network shows the impact of papers produced by Chad D. Meyerhoefer. 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 Chad D. Meyerhoefer. The network helps show where Chad D. Meyerhoefer may publish in the future.
Co-authorship network of co-authors of Chad D. Meyerhoefer
This figure shows the co-authorship network connecting the top 25 collaborators of Chad D. Meyerhoefer.
A scholar is included among the top collaborators of Chad D. Meyerhoefer 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 Chad D. Meyerhoefer. Chad D. Meyerhoefer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chang, Hung‐Hao & Chad D. Meyerhoefer. (2020). Covid-19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan. SSRN Electronic Journal.4 indexed citations
7.
Chang, Hung‐Hao, et al.. (2020). COVID-19 Prevention and Air Pollution in the Absence of a Lockdown. RePEc: Research Papers in Economics.3 indexed citations
Cawley, John, David Frisvold, & Chad D. Meyerhoefer. (2012). The Impact of Physical Education on Obesity among Elementary School Children. NBER Working Paper No. 18341.. National Bureau of Economic Research.2 indexed citations
14.
Sherer, Susan A., et al.. (2012). Extending the Technology Acceptance Model in Healthcare: Identifying the Role of Trust and Shared Information. Journal of the Association for Information Systems.11 indexed citations
15.
Cawley, John & Chad D. Meyerhoefer. (2011). The medical care costs of obesity: An instrumental variables approach. Journal of Health Economics. 31(1). 219–230.993 indexed citations breakdown →
16.
Meyerhoefer, Chad D. & David E. Sahn. (2010). The Relationship Between Poverty and Maternal Morbidity and Mortality in Sub-Saharan Africa. SSRN Electronic Journal.6 indexed citations
Cawley, John, Chad D. Meyerhoefer, & David Newhouse. (2006). Not Your Father's PE: Obesity, Exercise, and the Role of Schools.. Education next. 6(4). 60–66.11 indexed citations
19.
Cawley, John, Chad D. Meyerhoefer, & David Newhouse. (2005). The Impact of State Physical Education Requirements on Youth Physical Activity and Overweight. SSRN Electronic Journal.5 indexed citations
20.
Meyerhoefer, Chad D.. (2002). The econometrics of non-standard structural demand modeling : applications to transition country data. University Microfilms International eBooks.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.