Daniela Di Cagno
- Economics and Econometrics top 5%
- Safety Research top 5%
- General Decision Sciences top 5%
- Strategy and Management
- Sociology and Political Science
- Co-authors
- Valentina MelicianiAndrea FabriziEmanuela SciubbaJohn D. HeyIris WanzenböckWerner GüthAlberto CasagrandeAnna Conte
- Topics
- Experimental Behavioral Economics Studies (29 papers)Decision-Making and Behavioral Economics (17 papers)Economic and Environmental Valuation (7 papers)
- Journals
- Technological Forecasting and Social ChangeSmall Business EconomicsJournal of Economic Behavior & Organization
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Daniela Di Cagno
36 papers receiving 269 citations
Peers
Comparison fields: 5 of 61
- Economics and Econometrics 169
- Safety Research 80
- General Decision Sciences 55
- Strategy and Management 50
- Sociology and Political Science 42
Countries citing papers authored by Daniela Di Cagno
This map shows the geographic impact of Daniela Di Cagno'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 Daniela Di Cagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Di Cagno more than expected).
Fields of papers citing papers by Daniela Di Cagno
This network shows the impact of papers produced by Daniela Di Cagno. 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 Daniela Di Cagno. The network helps show where Daniela Di Cagno may publish in the future.
Co-authorship network of co-authors of Daniela Di Cagno
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Di Cagno. A scholar is included among the top collaborators of Daniela Di Cagno 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 Daniela Di Cagno. Daniela Di Cagno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 27 | |
| 7 | 24 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | Gender effects and third-party punishment in social dilemma games | 0 |
| 13 | 34 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | 3 | |
| 18 | Rana, formichiere o un milione di euro? Il caso “Affari Tuoi”. Un’analisi delle scelte in condizioni di incertezza in un esperimento naturale. | 1 |
| 19 | 2 | |
| 20 | 16 |
About Daniela Di Cagno
Daniela Di Cagno is a scholar working on General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 43 papers that have together received 295 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (29 papers), Decision-Making and Behavioral Economics (17 papers) and Economic and Environmental Valuation (7 papers). The work is most often cited by research in General Decision Sciences (55 citations), Safety Research (80 citations) and Economics and Econometrics (169 citations). Daniela Di Cagno has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Valentina Meliciani, Andrea Fabrizi, Emanuela Sciubba, John D. Hey, Iris Wanzenböck, Werner Güth, Alberto Casagrande, Anna Conte, Marco A. Marini and Noemi Pace. Their work appears in journals such as Technological Forecasting and Social Change, Small Business Economics and Journal of Economic Behavior & 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.