David Wiczer

1.2k citations
29 papers · 467 · h-index 7

Impact in

Papers in

David Wiczer

26 papers receiving 443 citations

Peers

David Wiczer
Comparison fields: 5 of 69
  • Modeling and Simulation 110
  • Economics and Econometrics 359
  • General Health Professions 177
  • Demography 47
  • General Economics, Econometrics and Finance 29
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Eliza Forsythe United States
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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 2020308
2 202058
3 202226
4
Labor Demand in the Time of Covid-19: Evidence from Vacancy Postings and Ui Claims
202010
5 20189
6 20207
7 20166
8
Long-Term Unemployment: Attached and Mismatched?
20155
9
Labor Supply in the Time of COVID19
20205
10 20094
11 20214
12 20233
13 20173
14 20223
15 20242
16 20162
17 20142
18 20152
19 20231
20
Understanding the Motives and Constraints That Lead People to Risky Occupations
20141

About David Wiczer

David Wiczer is a scholar working on Economics and Econometrics, General Health Professions, Demography, Accounting and Modeling and Simulation, having authored 29 papers that have together received 467 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (13 papers), Employment and Welfare Studies (11 papers), COVID-19 Pandemic Impacts (6 papers), Retirement, Disability, and Employment (5 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Insurance and Financial Risk Management (3 papers), COVID-19 epidemiological studies (3 papers) and Global Health Care Issues (3 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Economics and Econometrics (359 citations), General Health Professions (177 citations), Demography (47 citations) and General Economics, Econometrics and Finance (29 citations). David Wiczer has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Lisa Kahn, Fabian Lange, Eliza Forsythe, Fatih Guvenen, Victoria Gregory, Guido Menzio, Ludo Visschers, Laura Pilossoph, Carlos Carrillo‐Tudela and Reza Farivar. Their work appears in journals such as Journal of Monetary Economics, Labour Economics, The Journal of the Economics of Ageing, American Economic Journal Macroeconomics and Journal of Public Economics.

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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