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.
Financial inclusion and economic growth linkage: some cross country evidence
2018218 citationsDinabandhu Sethi, Debashis AcharyaJournal of Financial Economic Policyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Debashis Acharya
Since
Specialization
Citations
This map shows the geographic impact of Debashis Acharya'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 Debashis Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debashis Acharya more than expected).
Fields of papers citing papers by Debashis Acharya
This network shows the impact of papers produced by Debashis Acharya. 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 Debashis Acharya. The network helps show where Debashis Acharya may publish in the future.
Co-authorship network of co-authors of Debashis Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Debashis Acharya.
A scholar is included among the top collaborators of Debashis Acharya 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 Debashis Acharya. Debashis Acharya is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Acharya, Debashis, et al.. (2017). GDP Structure Effects on Macro-Money Demand: Herfindahl Index Evidence for India. SSRN Electronic Journal.1 indexed citations
9.
Acharya, Debashis, et al.. (2017). Stock price reaction to merger announcements: an empirical note on Indian markets. Investment Management and Financial Innovations. 5(1).7 indexed citations
Acharya, Debashis, et al.. (2010). Inflation and Trade Openness: Empirical Investigation for India. SSRN Electronic Journal. 113–127.2 indexed citations
14.
Sahoo, Biresh K. & Debashis Acharya. (2010). An Alternative Approach to Monetary Aggregation in DEA. SSRN Electronic Journal.1 indexed citations
Acharya, Debashis, et al.. (2007). Докази нових валютних еквівалентів грошового агрегату Індії. Electronic Sumy State University Institutional Repository (Sumy State University).1 indexed citations
17.
Sahoo, Biresh K. & Debashis Acharya. (2007). Examining the Total Factor Productivity Change in Radial and Non-Radial Dea Models: An Application to Indian Commercial Banks. SSRN Electronic Journal.2 indexed citations
18.
Acharya, Debashis, et al.. (2007). Classifying Mutual Funds in India: Some Results from Clustering. SSRN Electronic Journal.4 indexed citations
19.
Acharya, Debashis, et al.. (2007). Classifying Mutual Funds in India: Some Results from Clustering. 6(1). 71.11 indexed citations
20.
Kamaiah, Bandi & Debashis Acharya. (1998). Currency Equivalent Monetary Aggregates-Do They Have an Edge over Their Simple Sum Counterparts. Economic and political weekly. 33(13).3 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.