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.
Missing in Action: Teacher and Health Worker Absence in Developing Countries
2006788 citationsNazmul Chaudhury, Jeffrey S. Hammer et al.The Journal of Economic Perspectivesprofile →
Teacher Performance Pay: Experimental Evidence from India
Countries citing papers authored by Karthik Muralidharan
Since
Specialization
Citations
This map shows the geographic impact of Karthik Muralidharan'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 Karthik Muralidharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Muralidharan more than expected).
Fields of papers citing papers by Karthik Muralidharan
This network shows the impact of papers produced by Karthik Muralidharan. 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 Karthik Muralidharan. The network helps show where Karthik Muralidharan may publish in the future.
Co-authorship network of co-authors of Karthik Muralidharan
This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Muralidharan.
A scholar is included among the top collaborators of Karthik Muralidharan 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 Karthik Muralidharan. Karthik Muralidharan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Muralidharan, Karthik & Venkatesh Sundararaman. (2013). Contract Teachers: Experimental Evidence from India. NBER Working Paper No. 19440.. National Bureau of Economic Research.20 indexed citations
12.
Muralidharan, Karthik & Venkatesh Sundararaman. (2013). Contract Teachers: Experimental Evidence from India. National Bureau of Economic Research.43 indexed citations
13.
Muralidharan, Karthik. (2013). Priorities for Primary Education Policy in India’s 12th Five-year Plan. 9(1). 1–61.34 indexed citations
Muralidharan, Karthik. (2012). Long-Term Effects of Teacher Performance Pay: Experimental Evidence from India..30 indexed citations
16.
Dercon, Stefan, et al.. (2011). School Inputs, Household Substitution, and Test Scores. NBER Working Paper No. 16830.. National Bureau of Economic Research.13 indexed citations
17.
Muralidharan, Karthik, et al.. (2011). Assessing the Scope for Cash Transfers in lieu of the TPDS in Rural and Urban Bihar.4 indexed citations
18.
Muralidharan, Karthik & Venkatesh Sundararaman. (2009). Teacher Performance Pay: Experimental Evidence from India. NBER Working Paper No. 15323.. National Bureau of Economic Research.20 indexed citations
19.
Muralidharan, Karthik, et al.. (2008). Data analysis manual for coconut researchers.. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).
20.
Chaudhury, Nazmul, Jeffrey S. Hammer, Michael Kremer, Karthik Muralidharan, & Frances Rogers. (2006). Missing in Action: Teacher and Health Worker Absence in Developing Countries. The Journal of Economic Perspectives. 20(1). 91–116.788 indexed citations breakdown →
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.