This map shows the geographic impact of Apurva Sanghi'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 Apurva Sanghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurva Sanghi more than expected).
This network shows the impact of papers produced by Apurva Sanghi. 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 Apurva Sanghi. The network helps show where Apurva Sanghi may publish in the future.
Co-authorship network of co-authors of Apurva Sanghi
This figure shows the co-authorship network connecting the top 25 collaborators of Apurva Sanghi.
A scholar is included among the top collaborators of Apurva Sanghi 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 Apurva Sanghi. Apurva Sanghi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Loayza, Norman, et al.. (2020). Recovery from the Pandemic Crisis : Balancing Short-Term and Long-Term Concerns. The World Bank Open Knowledge Repository (World Bank).7 indexed citations
Sanghi, Apurva, et al.. (2017). What to Do When Foreign Direct Investment is Not Direct or Foreign: FDI Round Tripping. RePEc: Research Papers in Economics.1 indexed citations
Bundervoet, Tom, et al.. (2015). Measuring National and Subnational Economic Growth in Africa from Outer Space, with an Application to Kenya and Rwanda.2 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.