Peter J. Lambert

5.6k citations
141 papers · 3.4k · h-index 25

Impact in

Papers in

Peter J. Lambert

134 papers receiving 2.8k citations

Peers

Peter J. Lambert
Comparison fields: 5 of 116
  • Gender Studies 861
  • Economics and Econometrics 2.2k
  • General Economics, Econometrics and Finance 362
  • Sociology and Political Science 1.8k
  • Safety Research 288
Replace Ian Preston with:
Ian Preston United Kingdom
John Creedy Australia
John C. Ham United States
Brent R. Moulton United States
Satya R. Chakravarty India
Sérgio Firpo Brazil
Moshe Buchinsky United States
Jacques Silber Israel
Marjorie B. McElroy United States
W. Robert Reed New Zealand
Peter J. Lambert relative to Ian Preston United Kingdom Ian Preston's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter J. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Lambert. 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 Peter J. Lambert. The network helps show where Peter J. Lambert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992484
2
The Distribution and Redistribution of Income: A Mathematical Analysis
1993387
3 1993334
4 1997226
5 1980200
6 1994126
7 1993108
8 199759
9 198955
10 199454
11 201050
12 198548
13 200947
14 200347
15 200239
16 199538
17 199836
18 200035
19 198533
20 200133

About Peter J. Lambert

Peter J. Lambert is a scholar working on Economics and Econometrics, Sociology and Political Science, Gender Studies, General Economics, Econometrics and Finance and Accounting, having authored 141 papers that have together received 3.4k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (79 papers), Income, Poverty, and Inequality (65 papers), Gender, Labor, and Family Dynamics (47 papers), Taxation and Compliance Studies (23 papers), Economic theories and models (15 papers), Corporate Taxation and Avoidance (9 papers), Economic Theory and Policy (8 papers) and Politics, Economics, and Education Policy (6 papers). The work is most often cited by research in Gender Studies (861 citations), Economics and Econometrics (2.2k citations), General Economics, Econometrics and Finance (362 citations), Sociology and Political Science (1.8k citations) and Safety Research (288 citations). Peter J. Lambert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include J. Richard Aronson, Stephen P. Jenkins, John D. Hey, B. Essama‐Nssah, Paul Johnson, Shlomo Yitzhaki, Xavier Ramos, John Hutton, Valentino Dardanoni and Buhong Zheng. Their work appears in journals such as The Journal of Economic Inequality, The Economic Journal, Social Choice and Welfare, Review of Income and Wealth and Economics Letters.

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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