This map shows the geographic impact of Előd Takáts'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 Előd Takáts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Előd Takáts more than expected).
This network shows the impact of papers produced by Előd Takáts. 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 Előd Takáts. The network helps show where Előd Takáts may publish in the future.
Co-authorship network of co-authors of Előd Takáts
This figure shows the co-authorship network connecting the top 25 collaborators of Előd Takáts.
A scholar is included among the top collaborators of Előd Takáts 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 Előd Takáts. Előd Takáts is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Carstens, Agustín, Előd Takáts, Luiz Gustavo Ribeiro Pereira, et al.. (2023). New age of central banking in emerging markets. Corvinus Research Archive (Corvinus University of Budapest).
3.
Hardy, Bryan & Előd Takáts. (2020). International banking amidst Covid-19: resilience and drivers. RePEc: Research Papers in Economics.2 indexed citations
4.
Fender, Ingo, et al.. (2018). The ABCs of Bank PBRs. BIS quarterly review.2 indexed citations
5.
Takáts, Előd, et al.. (2018). Clearing risks in OTC derivatives markets: the CCP-bank nexus. BIS quarterly review.23 indexed citations
6.
Avdjiev, Stefan & Előd Takáts. (2016). Monetary Policy Spillovers and Currency Networks in Cross-Border Bank Lending. SSRN Electronic Journal.4 indexed citations
7.
Moessner, Richhild, et al.. (2016). Exchange Rate Pass-Through: What Has Changed Since the Crisis?. International journal of central banking. 15(3). 27–58.60 indexed citations
8.
Juselius, Mikael & Előd Takáts. (2014). Can Demography Affect Inflation and Monetary Policy. SSRN Electronic Journal.37 indexed citations
9.
Avdjiev, Stefan & Előd Takáts. (2014). Cross-border bank lending during the taper tantrum: the role of emerging market fundamentals. SSRN Electronic Journal.9 indexed citations
10.
Takáts, Előd, et al.. (2014). International Monetary Policy Transmission. SSRN Electronic Journal. 78. 25–44.27 indexed citations
11.
Ehlers, Torsten & Előd Takáts. (2013). Capital Flow Dynamics and FX Intervention. SSRN Electronic Journal. 73. 25–38.5 indexed citations
12.
Takáts, Előd & Christian Upper. (2013). Credit and growth after financial crises. SSRN Electronic Journal.28 indexed citations
13.
Takáts, Előd, et al.. (2012). The euro area crisis and cross-border bank lending to emerging markets. BIS quarterly review.24 indexed citations
Montoro, Carlos, Előd Takáts, & James Yetman. (2012). Is Monetary Policy Constrained by Fiscal Policy. SSRN Electronic Journal. 67. 11–30.3 indexed citations
16.
Frederiksen, Anders & Előd Takáts. (2011). Promotions, Dismissals, and Employee Selection: Theory and Evidence. SSRN Electronic Journal.2 indexed citations
17.
Takáts, Előd. (2011). Cross-border bank lending to emerging market economies. BIS Papers chapters. 54. 11–29.1 indexed citations
18.
Takáts, Előd, et al.. (2011). International banks, new liquidity rules and monetary policy in EMEs. BIS Papers chapters. 57. 9–35.1 indexed citations
19.
Takáts, Előd. (2010). Was it Credit Supply? Cross-Border Bank Lending to Emerging Market Economies During the Financial Crisis. SSRN Electronic Journal.53 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.