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.
Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption?
Countries citing papers authored by Pramila Krishnan
Since
Specialization
Citations
This map shows the geographic impact of Pramila Krishnan'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 Pramila Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramila Krishnan more than expected).
Fields of papers citing papers by Pramila Krishnan
This network shows the impact of papers produced by Pramila Krishnan. 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 Pramila Krishnan. The network helps show where Pramila Krishnan may publish in the future.
Co-authorship network of co-authors of Pramila Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Pramila Krishnan.
A scholar is included among the top collaborators of Pramila Krishnan 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 Pramila Krishnan. Pramila Krishnan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dhillon, Amrita, Pramila Krishnan, Manasa Patnam, & Carlo Perroni. (2016). Electoral Accountability and the Natural Resource Curse: Theory and Evidence from India. SSRN Electronic Journal.2 indexed citations
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
Hoddinott, John, Stefan Dercon, Pramila Krishnan, et al.. (2009). Networks and informal mutual support in 15 Ethiopian Villages.. IFPRI E-brary (International Food Policy Research Institute). 273–286.22 indexed citations
Hoddinott, John, et al.. (2008). COLLECTIVE ACTION AND VULNERABILITY.1 indexed citations
14.
Dercon, Stefan, et al.. (2007). Changes in Living Standards in Villages in India 1975-2004: Revisiting the ICRISAT village level studies. CPRC Working Paper No. 85..3 indexed citations
15.
Das, Jishnu, Stefan Dercon, James Habyarimana, & Pramila Krishnan. (2004). When Can School Inputs Improve Test Scores. Oxford University Research Archive (ORA) (University of Oxford).15 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.