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.
A Retrospective Look at the U.S. Productivity Growth Resurgence
2008389 citationsDale W. Jorgenson, Mun S. Ho et al.The Journal of Economic Perspectivesprofile →
China's flexibility challenge in achieving carbon neutrality by 2060
2022163 citationsJianglong Li, Mun S. Ho et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Mun S. Ho'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 Mun S. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mun S. Ho more than expected).
This network shows the impact of papers produced by Mun S. Ho. 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 Mun S. Ho. The network helps show where Mun S. Ho may publish in the future.
Co-authorship network of co-authors of Mun S. Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Mun S. Ho.
A scholar is included among the top collaborators of Mun S. Ho 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 Mun S. Ho. Mun S. Ho is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jorgenson, Dale W., Mun S. Ho, & Jon D. Samuels. (2017). Educational Attainment and the Revival of US Economic Growth. RePEc: Research Papers in Economics. 23–60.
7.
Jorgenson, Dale W., Mun S. Ho, & Jon D. Samuels. (2016). Education, Participation, and the Revival of U.S. Economic Growth. National Bureau of Economic Research.2 indexed citations
8.
Ho, Mun S. & Zhongmin Wang. (2014). Green Growth (for China): A Literature Review. RePEc: Research Papers in Economics.1 indexed citations
9.
Ho, Mun S.. (2013). An Integrated Assessment of the Economic Costs and Environmental Benefits of Carbon Taxes in China.1 indexed citations
10.
Jorgenson, Dale W., Richard J. Goettle, Mun S. Ho, Daniel T. Slesnick, & Peter J. Wilcoxen. (2011). The Distributional Impact of Climate Policy. The B E Journal of Economic Analysis & Policy. 10(2).5 indexed citations
11.
Cao, Jing, Richard Garbaccio, & Mun S. Ho. (2009). China's 11th Five-Year Plan and the Environment: Reducing so Emissions. AgEcon Search (University of Minnesota, USA).7 indexed citations
12.
Jorgenson, Dale W., Mun S. Ho, & Kevin J. Stiroh. (2008). A Retrospective Look at the U.S. Productivity Growth Resurgence. The Journal of Economic Perspectives. 22(1). 3–24.389 indexed citations breakdown →
Jorgenson, Dale W., Mun S. Ho, & Kevin J. Stiroh. (2005). Information technology and the American growth resurgence. MIT Press eBooks.183 indexed citations
Jorgenson, Dale W., Mun S. Ho, & Kevin J. Stiroh. (2004). Will the U.S. Productivity Resurgence Continue. 10(13).18 indexed citations
17.
Jorgenson, Dale W., Mun S. Ho, & Kevin J. Stiroh. (2003). Lessons for Canada from the U.S. Growth Resurgence. SHILAP Revista de lepidopterología.4 indexed citations
18.
Jorgenson, Dale W., Mun S. Ho, & Kevin J. Stiroh. (2003). Lessons from the U. S. Growth Resurgence. Journal of Policy Modeling. 25(5).15 indexed citations
19.
Morgenstern, Rachelle, et al.. (2002). The Distributional Impacts of Carbon Mitigation Policies.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.