This map shows the geographic impact of Ryan Banerjee'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 Ryan Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Banerjee more than expected).
This network shows the impact of papers produced by Ryan Banerjee. 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 Ryan Banerjee. The network helps show where Ryan Banerjee may publish in the future.
Co-authorship network of co-authors of Ryan Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Banerjee.
A scholar is included among the top collaborators of Ryan Banerjee 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 Ryan Banerjee. Ryan Banerjee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Blickle, Kristian & Ryan Banerjee. (2016). Housing Collateral and Small Firm Activity in Europe. Alexandria (UniSG) (University of St.Gallen).3 indexed citations
15.
Banerjee, Ryan, Jonathan Kearns, & Marco Lombardi. (2015). Why) Is investment weak. SSRN Electronic Journal.1 indexed citations
Banerjee, Ryan. (2009). Which countries receive aid as insurance and why? A theory of optimal aid policy. RePEc: Research Papers in Economics.3 indexed citations
20.
Banerjee, Ryan & Nicoletta Batini. (2003). UK Consumers' Habits. SSRN Electronic Journal.11 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.