Leonard E. Burman

1.2k citations
81 papers · 776 · h-index 15

Impact in

  • Accounting top 2%
    • Financial Literacy, Pension, Retirement Analysis
    • Corporate Taxation and Avoidance
    • Gender, Labor, and Family Dynamics

Papers in

Leonard E. Burman

68 papers receiving 584 citations

Peers

Leonard E. Burman
Comparison fields: 5 of 67
  • Accounting 416
  • Gender Studies 252
  • Economics and Econometrics 552
  • Finance 87
  • Demography 74
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Countries citing papers authored by Leonard E. Burman

Since Specialization
Citations

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

Fields of papers citing papers by Leonard E. Burman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard E. Burman. 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 Leonard E. Burman. The network helps show where Leonard E. Burman may publish in the future.

Co-authors

The 24 scholars most cited alongside Leonard E. Burman, 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 Leonard E. Burman Line = papers co-authored together Leonard E. Burman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring permanent responses to capital-gains tax changes in panel data
199474
2 201072
3 200845
4
The Labyrinth of Capital Gains Tax Policy: A Guide for the Perplexed
199941
5 201635
6 200335
7 200432
8 199430
9 200128
10 199727
11 200223
12 200321
13 201020
14 199018
15 200615
16
Taxing Capital Income
200714
17 198914
18
A BLUEPRINT FOR TAX REFORM AND HEALTH REFORM
200913
19
The tax treatment of employment-based health insurance
199412
20 200112

About Leonard E. Burman

Leonard E. Burman is a scholar working on Economics and Econometrics, Gender Studies, Accounting, General Health Professions and Demography, having authored 81 papers that have together received 776 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (39 papers), Fiscal Policy and Economic Growth (33 papers), Financial Literacy, Pension, Retirement Analysis (21 papers), Corporate Taxation and Avoidance (17 papers), Healthcare Policy and Management (13 papers), Taxation and Compliance Studies (10 papers), Global Health Care Issues (7 papers) and Retirement, Disability, and Employment (6 papers). The work is most often cited by research in Accounting (416 citations), Gender Studies (252 citations), Economics and Econometrics (552 citations), Finance (87 citations) and Demography (74 citations). Leonard E. Burman has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include William G. Gale, W. Robert Reed, James Alm, Eric Toder, Kimberly A. Clausing, Matthew Hall, Peter R. Orszag, Benjamin Harris, Bryan Kim and Joseph J. Cordes. Their work appears in journals such as National Tax Journal, American Economic Review, Tax Policy and the Economy, The Journal of Economic Perspectives and Public Finance 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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