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.
This map shows the geographic impact of Ranjan Ray'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 Ranjan Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Ray more than expected).
This network shows the impact of papers produced by Ranjan Ray. 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 Ranjan Ray. The network helps show where Ranjan Ray may publish in the future.
Co-authorship network of co-authors of Ranjan Ray
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjan Ray.
A scholar is included among the top collaborators of Ranjan Ray 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 Ranjan Ray. Ranjan Ray is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ray, Ranjan & Kompal Sinha. (2014). Rangarajan Committee Report on Poverty Measurement Another Lost Opportunity. Economic and political weekly. 49(32). 43–48.78 indexed citations
6.
Maitra, Pushkar & Ranjan Ray. (2013). Child health in West Bengal comparison with other regions in India.. Economic and political weekly. 48(49). 50–58.28 indexed citations
Ray, Ranjan. (2008). Diversity in Calorie Sources and Undernourishment during Rapid Economic Growth. Economic and political weekly. 43(8). 51–57.36 indexed citations
9.
Ray, Ranjan & Geoffrey Lancaster. (2005). On setting the poverty line based on estimated nutrient prices - condition of socially disadvantaged groups during the reform period. Economic and political weekly. 40(1). 46–56.29 indexed citations
Ray, Ranjan, Amita Majumder, Dipankor Coondoo, & Geoffrey Lancaster. (2004). Derivation of Nutrient Prices from Household level Food Expenditure Data: Methodology and Applications. RePEc: Research Papers in Economics.1 indexed citations
14.
Ray, Ranjan & Geoffrey Lancaster. (2003). Does Child Labour Affect School Attendance and School Performance? Multi Country Evidence on SIMPOC Data.26 indexed citations
15.
Basu, Kaushik, et al.. (2003). Markets and governments. eCite Digital Repository (University of Tasmania).7 indexed citations
16.
Ray, Ranjan. (2001). Simultaneous Analysis of Child Labour and Child Schooling Comparative Evidence from Nepal and Pakistan. Economic and political weekly. 37(52). 5215–5224.14 indexed citations
17.
Meenakshi, J.V., et al.. (2000). Estimates of poverty for SC, ST and female-headed households.. Economic and political weekly. 35(31). 2748–2754.33 indexed citations
18.
Ray, Ranjan, et al.. (1999). State-Level Food Demand in India: Some Evidence on Rank-Three Demand Systems. eCite Digital Repository (University of Tasmania).2 indexed citations
19.
Ray, Ranjan. (1989). Impact of Demographic Variables on Optimal Commodity Taxes: Evidence from U.K. Family Expenditure Surveys, 1967-85. Public finance. 44(3). 437–452.4 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.