Éva Nagypál

1.2k citations
18 papers · 683 indexed · 1 hit paper · h-index 10

Éva Nagypál

18 papers receiving 628 citations

Hit Papers

More on unemployment and vacancy fluctuations261200720262013201950100150200250

Peers

Éva Nagypál
Comparison fields: 5 of 46
  • General Economics, Econometrics and Finance 196
  • Economics and Econometrics 621
  • Accounting 72
  • Public Administration 18
  • Finance 42
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Rasmus Lentz United States
Hiroaki Miyamoto Japan
Roberto Torrini Italy
Andreas Hornstein United States
Thomas Moutos Greece
Robert Gary‐Bobo France
José I. Silva Spain
Joerg Heining Germany
Winfried Koeniger Germany
Guido Menzio United States
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Citations per year

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).

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.

Co-authorship network

The 11 scholars most cited alongside Éva Nagypál, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éva Nagypál Line = papers co-authored together Éva Nagypál links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20232
2 20231
3 20234
4
Credit Characteristics, Credit Engagement Tools, and Financial Well-Being
20192
5 20138
6 20089
7 200777
8 200737
9
More on unemployment and vacancy fluctuationsbreakdown →
2007261
10 200729
11 200698
12
Amplification of Labor Market Fluctuations: Why Vacancies Don't Like to Hire the Unemployed?
20051
13 200534
14
On the extent of job-to-job transitions
200541
15
Amplification of Productivity Shocks: Why Vacancies Don't Like to Hire the Unemployed? 1
20047
16 200452
17 20041
18
Optimal application behavior with incomplete information
200419

About Éva Nagypál

Éva Nagypál is a scholar working on Economics and Econometrics, Accounting and General Economics, Econometrics and Finance, having authored 18 papers that have together received 683 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (11 papers), Firm Innovation and Growth (6 papers), Economic theories and models (5 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Corporate Finance and Governance (3 papers), Housing Market and Economics (3 papers), Employment and Welfare Studies (2 papers) and Banking stability, regulation, efficiency (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (196 citations), Economics and Econometrics (621 citations) and Accounting (72 citations). Éva Nagypál has collaborated with scholars based in United States and Germany. Frequent co-authors include Dale T. Mortensen, Zvi Eckstein, Steven J. Davis, John Haltiwanger, Javier Miranda, Christopher L. Foote, Ron S. Jarmin, Scott Fulford, Dan Ton and Jianhui Wang. Their work appears in journals such as The Review of Economic Studies, Scandinavian Journal of Economics and Review of Economic Dynamics.

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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