Lea Cassar
- Safety Research top 5%
- Experimental Behavioral Economics Studies 9
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics 2
- Economics and Econometrics top 10%
- Taxation and Compliance Studies 4
- Economic theories and models 4
- Law, Economics, and Judicial Systems 2
- Economic Growth and Productivity 2
- Demography top 10%
- Culture, Economy, and Development Studies 3
-
- Auction Theory and Applications 2
- Journals
- Management Science (2 papers)Science Advances (1 paper)The Review of Economics and Statistics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Lea Cassar
16 papers receiving 348 citations
Peers
Comparison fields: 5 of 49
- Safety Research 125
- General Decision Sciences 24
- Economics and Econometrics 152
- Organizational Behavior and Human Resource Management 52
- Demography 54
Countries citing papers authored by Lea Cassar
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
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-authorship network
The 7 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 68 | |
| 9 | 2018 | 56 | |
| 10 | 2018 | 137 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 4 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 3 | |
| 16 | Quality of employment and job satisfaction : evidence from Chile | 2010 | 8 |
| 17 | Convergence, Inequality and Education in the Galor and Zeira Model | 2007 | 2 |
About Lea Cassar
Lea Cassar is a scholar working on General Decision Sciences, Safety Research, Economics and Econometrics, Demography and Management Science and Operations Research, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (9 papers), Taxation and Compliance Studies (4 papers), Economic theories and models (4 papers), Culture, Economy, and Development Studies (3 papers), Auction Theory and Applications (2 papers), Law, Economics, and Judicial Systems (2 papers), Economic Growth and Productivity (2 papers) and Decision-Making and Behavioral Economics (2 papers). The work is most often cited by research in Safety Research (125 citations), General Decision Sciences (24 citations), Economics and Econometrics (152 citations), Organizational Behavior and Human Resource Management (52 citations) and Demography (54 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, Stephan Meier and Michèle Bélot. Their work appears in journals such as Management Science, Science Advances, The Review of Economics and Statistics, Journal of the European Economic Association and The Economic Journal.
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.