Lea Cassar

752 citations
17 papers · 379 · h-index 8

Impact in

Papers in

    • Economic theories and models 4
    • Taxation and Compliance Studies 4
    • Law, Economics, and Judicial Systems 2
    • Economic Growth and Productivity 2
    • Experimental Behavioral Economics Studies 9

Lea Cassar

16 papers receiving 371 citations

Peers

Lea Cassar
Comparison fields: 5 of 49
  • Safety Research 126
  • General Decision Sciences 24
  • Economics and Econometrics 158
  • Organizational Behavior and Human Resource Management 59
  • Demography 56
Replace Haig R. Nalbantian with:
Haig R. Nalbantian Czechia
Radu Vranceanu France
Pablo Casas‐Arce United States
F.A.A.M. van Winden Netherlands
Govind S. Iyer United States
Stephen L. Cheung Australia
Elena Belogolovsky Israel
Robin R. Radtke United States
Edward J. O’Boyle United States
Sirio Lonati France
Lea Cassar relative to Haig R. Nalbantian Czechia Haig R. Nalbantian's profile →
Citations per field
00.5×5.4×
Haig R. Nalbantian · 1×
Citations per year

Countries citing papers authored by Lea Cassar

Since Specialization
Citations

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

Fields of papers citing papers by Lea Cassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Lea Cassar, 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 Lea Cassar Line = papers co-authored together Lea Cassar links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018144
2 201870
3 201858
4 201924
5 202122
6 202017
7 20218
8
Quality of employment and job satisfaction : evidence from Chile
20108
9 20206
10 20145
11 20144
12 20164
13 20143
14 20173
15
Convergence, Inequality and Education in the Galor and Zeira Model
20072
16 20231
17 20250

About Lea Cassar

Lea Cassar is a scholar working on Economics and Econometrics, Safety Research, Demography, Social Psychology and Sociology and Political Science, having authored 17 papers that have together received 379 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (9 papers), Economic theories and models (4 papers), Taxation and Compliance Studies (4 papers), Culture, Economy, and Development Studies (3 papers), Psychological Well-being and Life Satisfaction (2 papers), Law, Economics, and Judicial Systems (2 papers), Auction Theory and Applications (2 papers) and Economic Growth and Productivity (2 papers). The work is most often cited by research in Safety Research (126 citations), General Decision Sciences (24 citations), Economics and Econometrics (158 citations), Organizational Behavior and Human Resource Management (59 citations) and Demography (56 citations). Lea Cassar has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stephan Meier, Philippe Aghion, Stefan Bechtold, Holger Herz, Robert Dur and Michèle Bélot. Their work appears in journals such as Management Science, The Review of Economics and Statistics, The Economic Journal, Journal of the European Economic Association and The Journal of Law Economics and Organization.

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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