Dan Silverman

3.7k citations
68 papers · 1.8k · h-index 20

Impact in

Papers in

    • Fiscal Policy and Economic Growth 9
    • Economic theories and models 7
    • Labor market dynamics and wage inequality 7
    • Financial Literacy, Pension, Retirement Analysis 22

Dan Silverman

61 papers receiving 1.7k citations

Peers

Dan Silverman
Comparison fields: 5 of 125
  • General Decision Sciences 179
  • Economics and Econometrics 903
  • Accounting 383
  • Gender Studies 231
  • Safety Research 197
Replace B.M.S. van Praag with:
B.M.S. van Praag Netherlands
Claudia Sénik France
Erik Schokkaert Belgium
Jonathan Guryan United States
Ilyana Kuziemko United States
Stephen Weinberg United States
Bernard Van Praag Netherlands
Bart Golsteyn Netherlands
Carol Graham United States
Stefanie Schurer Australia
Dan Silverman relative to B.M.S. van Praag Netherlands B.M.S. van Praag's profile →
Citations per field
00.5×3.1×
B.M.S. van Praag · 1×
Citations per year

Countries citing papers authored by Dan Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Dan Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Silverman, 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 Dan Silverman Line = papers co-authored together Dan Silverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004448
2 2008302
3 2014114
4 200996
5 200379
6 201650
7 201149
8 201849
9 201745
10 201436
11 201635
12 201235
13 201134
14 201834
15 200433
16 200831
17 201530
18 200825
19 200723
20
The EEG in anoxic coma.
197019

About Dan Silverman

Dan Silverman is a scholar working on Economics and Econometrics, Accounting, Sociology and Political Science, Gender Studies and General Decision Sciences, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (22 papers), Gender, Labor, and Family Dynamics (11 papers), Decision-Making and Behavioral Economics (11 papers), Experimental Behavioral Economics Studies (9 papers), Fiscal Policy and Economic Growth (9 papers), European history and politics (9 papers), Economic theories and models (7 papers) and Labor market dynamics and wage inequality (7 papers). The work is most often cited by research in General Decision Sciences (179 citations), Economics and Econometrics (903 citations), Accounting (383 citations), Gender Studies (231 citations) and Safety Research (197 citations). Dan Silverman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Andrew Postlewaite, Hanming Fang, Nicola Persico, Michael P. Keane, Shachar Kariv, Matthew D. Shapiro, Michael Gelman, Henry S. Farber, Steven Tadelis and John Laitner. Their work appears in journals such as The American Historical Review, Journal of Political Economy, Journal of Public Economics, American Economic Review and International Economic Review.

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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