Daniel Gottlieb

1.9k citations
62 papers · 1.0k · h-index 19

Impact in

Papers in

    • Economic theories and models 14
    • Economic Policies and Impacts 7
    • Financial Literacy, Pension, Retirement Analysis 7
    • Corporate Finance and Governance 5

Daniel Gottlieb

57 papers receiving 926 citations

Peers

Daniel Gottlieb
Comparison fields: 5 of 101
  • General Decision Sciences 130
  • Finance 236
  • Economics and Econometrics 438
  • General Economics, Econometrics and Finance 133
  • Accounting 173
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Isabelle Brocas United States
Brice Corgnet France
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Citations per year

Countries citing papers authored by Daniel Gottlieb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gottlieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992117
2 201879
3 201775
4 200763
5 200747
6 199244
7 201943
8 200738
9 200438
10 200835
11 200831
12 201225
13 200524
14 202023
15 202123
16 201422
17 200622
18
Prospect Theory, Life Insurance, and Annuities
201220
19 201819
20 202115

About Daniel Gottlieb

Daniel Gottlieb is a scholar working on Economics and Econometrics, Accounting, General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Economic theories and models (14 papers), Decision-Making and Behavioral Economics (11 papers), Experimental Behavioral Economics Studies (8 papers), Auction Theory and Applications (8 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), Economic Policies and Impacts (7 papers), Corporate Finance and Governance (5 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in General Decision Sciences (130 citations), Finance (236 citations), Economics and Econometrics (438 citations), General Economics, Econometrics and Finance (133 citations) and Accounting (173 citations). Daniel Gottlieb has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Eduardo M. Azevedo, Stefano Fiorin, Martin Kanz, Humberto Moreira, Leonardo Bursztyn, Olivia S. Mitchell, Gretchen B. Chapman, Aloísio Araújo, Kent Smetters and Adam Philip King. Their work appears in journals such as Games and Economic Behavior, Econometrica, Behavioural Processes, Theoretical Economics and Journal of Public Economic Theory.

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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