Hungarian National Bank

8.6k citations
669 papers ·

Impact in

Papers in

Hungarian National Bank

521 papers receiving 7.9k citations

Peers

Hungarian National Bank
Comparison fields: 5 of 208
  • General Economics, Econometrics and Finance 2.5k
  • Finance 2.8k
  • Economics and Econometrics 3.9k
  • Accounting 809
  • Strategy and Management 556
Replace Institute for Forecasting of the Slovak Academy of Sciences with:
Institute for Forecasting of the Slovak Academy of Sciences Slovakia
Institute of World Economics Hungary
Institute of Economics Hungary
National Bank of Austria Austria
National Bank of Poland Poland
Vienna Institute for International Economic Studies Austria
Czech Academy of Sciences, Economics Institute Czechia
Czech National Bank Czechia
Vienna Institute of Demography Austria
Venice International University Italy
Hungarian National Bank relative to Institute for Forecasting of the Slovak Academy of Sciences Slovakia Institute for Forecasting of the Slovak Academy of Sciences's profile →
Citations per field
00.5×1.5×1.8×
Institute for Forecasting of the Slovak Academy of Sciences · 1×
Citations per year

Countries citing scholars working at Hungarian National Bank

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Hungarian National Bank. 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 papers produced at Hungarian National Bank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hungarian National Bank more than expected).

Fields of papers published by authors at Hungarian National Bank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Hungarian National Bank at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Hungarian National Bank at the time of their publication.

About Hungarian National Bank

In recent decades, authors affiliated with Hungarian National Bank have published 669 papers, which have received a total of 8.6k indexed citations . Scholars at this organization have produced 117 papers in General Economics, Econometrics and Finance, 136 papers in Finance, 70 papers in Geography, Planning and Development, 218 papers in Economics and Econometrics and 60 papers in Accounting on the topics of Monetary Policy and Economic Impact (84 papers), Global Financial Crisis and Policies (71 papers), Hungarian Social, Economic and Educational Studies (70 papers), Banking stability, regulation, efficiency (46 papers), Economic Growth and Productivity (29 papers), Manufacturing Process and Optimization (29 papers), Corporate Finance and Governance (27 papers) and Fiscal Policy and Economic Growth (26 papers). Their work is cited by papers focused on General Economics, Econometrics and Finance (2.5k citations), Finance (2.8k citations), Economics and Econometrics (3.9k citations), Accounting (809 citations) and Strategy and Management (556 citations). Authors at Hungarian National Bank collaborate with scholars in Hungary, United States and Germany and have published in prestigious journals including Sustainability, Engineering Applications of Artificial Intelligence, Journal of Radioanalytical and Nuclear Chemistry, Transfusion and Physica A Statistical Mechanics and its Applications. Some of Hungarian National Bank's most productive authors include Péter Karádi, Mark Gertler, Imre J. Rudas, György Szapáry, Ζsolt Darvas, Chaoyi Chen, Thanasis Stengos, Mehmet Pinar, Berthold Herrendorf and Ákos Valentinyi.

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.

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