Éva Nagypál
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 5%
- General Health Professions
- Accounting top 10%
- Sociology and Political Science
- Co-authors
- Dale T. MortensenZvi EcksteinSteven J. DavisJohn HaltiwangerJavier MirandaChristopher L. FooteRon S. JarminScott Fulford
- Topics
- Labor market dynamics and wage inequality (11 papers)Firm Innovation and Growth (6 papers)Economic theories and models (5 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Éva Nagypál
18 papers receiving 628 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Economics and Econometrics 621
- General Economics, Econometrics and Finance 196
- General Health Professions 80
- Accounting 72
- Sociology and Political Science 43
Countries citing papers authored by Éva Nagypál
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
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 of co-authors of Éva Nagypál
This figure shows the co-authorship network connecting the top 25 collaborators of Éva Nagypál. A scholar is included among the top collaborators of Éva Nagypál 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 Éva Nagypál. Éva Nagypál is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | Credit Characteristics, Credit Engagement Tools, and Financial Well-Being | 2 |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 77 | |
| 8 | 37 | |
| 9 | More on unemployment and vacancy fluctuationsbreakdown → | 261 |
| 10 | 29 | |
| 11 | 98 | |
| 12 | Amplification of Labor Market Fluctuations: Why Vacancies Don't Like to Hire the Unemployed? | 1 |
| 13 | 34 | |
| 14 | On the extent of job-to-job transitions | 41 |
| 15 | Amplification of Productivity Shocks: Why Vacancies Don't Like to Hire the Unemployed? 1 | 7 |
| 16 | 52 | |
| 17 | 1 | |
| 18 | Optimal application behavior with incomplete information | 19 |
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) and Economic theories and models (5 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.