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.
Building State Capacity: Evidence from Biometric Smartcards in India
2016228 citationsKarthik Muralidharan, Paul Niehaus et al.American Economic Reviewprofile →
Universal Basic Income in the Developing World
201988 citationsAbhijit Banerjee, Paul Niehaus et al.Annual Review of Economicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Paul Niehaus'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 Paul Niehaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Niehaus more than expected).
This network shows the impact of papers produced by Paul Niehaus. 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 Paul Niehaus. The network helps show where Paul Niehaus may publish in the future.
Co-authorship network of co-authors of Paul Niehaus
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Niehaus.
A scholar is included among the top collaborators of Paul Niehaus 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 Paul Niehaus. Paul Niehaus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Coffman, Lucas C. & Paul Niehaus. (2020). Pathways of persuasion. Games and Economic Behavior. 124. 239–253.3 indexed citations
10.
Banerjee, Abhijit, Paul Niehaus, & Tavneet Suri. (2019). Universal Basic Income in the Developing World. Annual Review of Economics. 11(1). 959–983.88 indexed citations breakdown →
11.
Muralidharan, Karthik, Paul Niehaus, & Sandip Sukhtankar. (2016). Building State Capacity: Evidence from Biometric Smartcards in India. American Economic Review. 106(10). 2895–2929.228 indexed citations breakdown →
12.
Blattman, Christopher & Paul Niehaus. (2014). Show them the money. Foreign Affairs. 93(3). 117–126.22 indexed citations
Faye, Michael & Paul Niehaus. (2012). Political Aid Cycles. American Economic Review. 102(7). 3516–3530.101 indexed citations
18.
Muralidharan, Karthik, et al.. (2011). Assessing the Scope for Cash Transfers in lieu of the TPDS in Rural and Urban Bihar.4 indexed citations
19.
Niehaus, Paul. (2011). Filtered Social Learning. Journal of Political Economy. 119(4). 686–720.24 indexed citations
20.
Möbius, Markus, Paul Niehaus, & Tanya Rosenblat. (2005). Social Learning and Consumer Demand.17 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.