David Wiczer

1.2k citations
29 papers · 473 · h-index 6

Impact in

Papers in

David Wiczer

25 papers receiving 451 citations

Peers

David Wiczer
Comparison fields: 5 of 68
  • Modeling and Simulation 106
  • Economics and Econometrics 360
  • General Health Professions 172
  • Demography 42
  • General Economics, Econometrics and Finance 29
Replace Eliza Forsythe with:
Eliza Forsythe United States
Tomaz Cajner United States
Leland D. Crane United States
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Nikos Kapitsinis Denmark
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Raquel Sebastian Spain
Matthew Dey United States
Guido Matías Cortés Canada
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Citations per field
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Citations per year

Countries citing papers authored by David Wiczer

Since Specialization
Citations

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

Fields of papers citing papers by David Wiczer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside David Wiczer, 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 David Wiczer Line = papers co-authored together David Wiczer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020314
2 202061
3 202229
4
Labor Demand in the Time of Covid-19: Evidence from Vacancy Postings and Ui Claims
202010
5 20167
6 20207
7
Labor Supply in the Time of COVID19
20205
8
Long-Term Unemployment: Attached and Mismatched?
20155
9 20244
10 20094
11 20214
12 20233
13 20223
14 20173
15 20142
16 20152
17 20162
18
Pandemic Recession: L or V-Shaped?
20201
19
Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market
20201
20
Looking at Recessions through a Different Lens
20141

About David Wiczer

David Wiczer is a scholar working on Economics and Econometrics, General Health Professions, Accounting, Demography and Modeling and Simulation, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (14 papers), Employment and Welfare Studies (10 papers), COVID-19 Pandemic Impacts (6 papers), Retirement, Disability, and Employment (4 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Insurance and Financial Risk Management (3 papers), COVID-19 epidemiological studies (3 papers) and Housing Market and Economics (2 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Economics and Econometrics (360 citations), General Health Professions (172 citations), Demography (42 citations) and General Economics, Econometrics and Finance (29 citations). David Wiczer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Fabian Lange, Lisa Kahn, Eliza Forsythe, Fatih Guvenen, Victoria Gregory, Guido Menzio, Gizem Koşar, Burhanettin Kuruşçu, Reza Farivar and Ludo Visschers. Their work appears in journals such as Journal of Monetary Economics, American Economic Journal Macroeconomics, Journal of Public Economics, Labour Economics and The Journal of the Economics of Ageing.

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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