Daniel Tannenbaum

495 citations
13 papers · 222 · h-index 6

Impact in

Papers in

Daniel Tannenbaum

13 papers receiving 211 citations

Peers

Daniel Tannenbaum
Comparison fields: 5 of 65
  • Economics and Econometrics 121
  • General Health Professions 61
  • Demography 23
  • Finance 18
  • Sociology and Political Science 73
Replace Katerina Lisenkova with:
Katerina Lisenkova United Kingdom
Deborah Goldschmidt United States
Giulia Giupponi Italy
Maria Jepsen Belgium
David E. Harrington United States
Kenn Ariga Japan
Thierry Lallemand Belgium
Andrea Garnero France
Raul Eamets Estonia
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Citations per year

Countries citing papers authored by Daniel Tannenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tannenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Tannenbaum, 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 Daniel Tannenbaum Line = papers co-authored together Daniel Tannenbaum links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202087
2 201849
3 202331
4 202221
5 20197
6 20196
7
Do gender dierences in risk aversion explain the gender gap in SAT scores? Uncovering risk attitudes and the test score gap. (PRELIMINARY)
20125
8 20194
9 20224
10 20233
11 20192
12 20192
13
The Evolving U.S. Occupational Structure: A Textual Analysis
20171

About Daniel Tannenbaum

Daniel Tannenbaum is a scholar working on Economics and Econometrics, Sociology and Political Science, Finance, General Health Professions and Accounting, having authored 13 papers that have together received 222 indexed citations. Recurring topics across this work include Housing, Finance, and Neoliberalism (3 papers), Labor market dynamics and wage inequality (3 papers), Financial Literacy, Pension, Retirement Analysis (2 papers), Regional Economics and Spatial Analysis (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Housing Market and Economics (2 papers), Homelessness and Social Issues (2 papers) and Crime Patterns and Interventions (1 paper). The work is most often cited by research in Economics and Econometrics (121 citations), General Health Professions (61 citations), Demography (23 citations), Finance (18 citations) and Sociology and Political Science (73 citations). Daniel Tannenbaum has collaborated with scholars based in United States. Frequent co-authors include Sebastian Sotelo, Enghin Atalay, Nicholas Mader, John Eric Humphries, Davin Reed, Robert Collinson, Chan Shen, María A. López-Olivo, George J. Chang and Michael J. Overman. Their work appears in journals such as Journal of Labor Economics, JAMA Network Open, The Quarterly Journal of Economics, Journal of Public Economics and American Economic Journal Applied 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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