Éva Nagypál

13 papers and 600 indexed citations i.

About

Éva Nagypál is a scholar working on Economics and Econometrics, Accounting and Finance. According to data from OpenAlex, Éva Nagypál has authored 13 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 6 papers in Accounting and 2 papers in Finance. Recurrent topics in Éva Nagypál’s work include Labor market dynamics and wage inequality (8 papers), Firm Innovation and Growth (4 papers) and Economic theories and models (4 papers). Éva Nagypál is often cited by papers focused on Labor market dynamics and wage inequality (8 papers), Firm Innovation and Growth (4 papers) and Economic theories and models (4 papers). Éva Nagypál collaborates with scholars based in United States and Germany. Éva Nagypál's co-authors include Dale T. Mortensen, Zvi Eckstein, Ron S. Jarmin, Javier Miranda, Christopher L. Foote, Steven J. Davis, John Haltiwanger, Scott Fulford and Jeremy Tobacman and has published in prestigious journals such as The Review of Economic Studies, Scandinavian Journal of Economics and NBER Macroeconomics Annual.

In The Last Decade

Co-authorship network of co-authors of Éva Nagypál i

Fields of papers citing papers by Éva Nagypál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éva Nagypál. 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 Éva Nagypál. The network helps show where Éva Nagypál may publish in the future.

Countries citing papers authored by Éva Nagypál

Since Specialization
Citations

This map shows the geographic impact of Éva Nagypál'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 Éva Nagypál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Nagypál more than expected).

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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