James Feigenbaum

19 papers receiving 473 citations

Peers

James Feigenbaum
Comparison fields: 5 of 76
  • Health 58
  • General Economics, Econometrics and Finance 56
  • Economics and Econometrics 142
  • Sociology and Political Science 220
  • Demography 50
Replace Martin Wittenberg with:
Martin Wittenberg South Africa
Roberto Zelli Italy
Luis Ayala Cañón Spain
Hani Mansour United States
Alejandro Corvalán Chile
Matteo Picchio Italy
Matteo Cervellati Italy
Cristine Campos de Xavier Pinto Brazil
Lionel Kesztenbaum France
Carlos Rodríguez‐Castelán United States
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Citations per year

Countries citing papers authored by James Feigenbaum

Since Specialization
Citations

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

Fields of papers citing papers by James Feigenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside James Feigenbaum, 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 James Feigenbaum Line = papers co-authored together James Feigenbaum links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201597
2 202187
3 201653
4 201850
5
Automated census record linking: a machine learning approach
201641
6 201937
7 201725
8
Intergenerational mobility during the Great Depression
201523
9 202122
10 202415
11 201711
12 202210
13 20227
14 20236
15 20205
16 20223
17 20232
18 20241
19 20251

About James Feigenbaum

James Feigenbaum is a scholar working on Health, Sociology and Political Science, Modeling and Simulation, Political Science and International Relations and Economics and Econometrics, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Health disparities and outcomes (7 papers), Electoral Systems and Political Participation (3 papers), Intergenerational and Educational Inequality Studies (3 papers), COVID-19 epidemiological studies (2 papers), School Choice and Performance (2 papers), Census and Population Estimation (2 papers), Migration and Labor Dynamics (2 papers) and Employment and Welfare Studies (2 papers). The work is most often cited by research in Health (58 citations), General Economics, Econometrics and Finance (56 citations), Economics and Econometrics (142 citations), Sociology and Political Science (220 citations) and Demography (50 citations). James Feigenbaum has collaborated with scholars based in United States, Singapore and Sweden. Frequent co-authors include Andrew B. Hall, Christopher D. Muller, Santiago Pérez, Ran Abramitzky, Leah Platt Boustan, Kimmo Eriksson, Elizabeth Wrigley‐Field, Daniel P. Gross, Alexander Fouirnaies and Jacob Brown. Their work appears in journals such as The Quarterly Journal of Economics, Demography, The Review of Economic Studies, Science Advances and Explorations in Economic History.

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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