Matteo M. Galizzi
- Economics and Econometrics top 2%
- Sociology and Political Science top 5%
- General Decision Sciences top 2%
- Safety Research top 2%
- Applied Psychology top 2%
- Co-authors
- Paul DolanDaniel Navarro‐MartinezMarisa MiraldoLorraine WhitmarshSimone GhislandiCharitini StavropoulouRaffaele MiniaciSanchayan Banerjee
- Topics
- Decision-Making and Behavioral Economics (16 papers)Experimental Behavioral Economics Studies (11 papers)Behavioral Health and Interventions (10 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Matteo M. Galizzi
59 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Economics and Econometrics 440
- Sociology and Political Science 312
- General Decision Sciences 217
- Safety Research 206
- Applied Psychology 205
Countries citing papers authored by Matteo M. Galizzi
This map shows the geographic impact of Matteo M. Galizzi'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 Matteo M. Galizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo M. Galizzi more than expected).
Fields of papers citing papers by Matteo M. Galizzi
This network shows the impact of papers produced by Matteo M. Galizzi. 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 Matteo M. Galizzi. The network helps show where Matteo M. Galizzi may publish in the future.
Co-authorship network of co-authors of Matteo M. Galizzi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo M. Galizzi. A scholar is included among the top collaborators of Matteo M. Galizzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matteo M. Galizzi. Matteo M. Galizzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 38 | |
| 11 | 30 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | 27 | |
| 16 | In sickness but not in wealth: field evidence on patients’ risk preferences in the financial and health domain | 0 |
| 17 | 29 | |
| 18 | 22 | |
| 19 | 8 | |
| 20 | 45 |
About Matteo M. Galizzi
Matteo M. Galizzi is a scholar working on General Decision Sciences, Applied Psychology and Safety Research, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (16 papers), Experimental Behavioral Economics Studies (11 papers) and Behavioral Health and Interventions (10 papers). The work is most often cited by research in General Decision Sciences (217 citations), Applied Psychology (205 citations) and Safety Research (206 citations). Matteo M. Galizzi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Paul Dolan, Daniel Navarro‐Martinez, Marisa Miraldo, Lorraine Whitmarsh, Simone Ghislandi, Charitini Stavropoulou, Raffaele Miniaci, Sanchayan Banerjee, Paolo Buonanno and Chiara Dalle Nogare. Their work appears in journals such as The Lancet, Management Science and Scientific Reports.
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.