Ugo Merlone
- Economics and Econometrics top 10%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Management Science and Operations Research top 5%
- Safety Research top 10%
- Co-authors
- Ferenc SzidarovszkyAkio MatsumotoGian-Italo BischiLaura GardiniGian Italo BischiDavide RadiFabio TramontanaAngelo Romano
- Topics
- Game Theory and Applications (21 papers)Evolutionary Game Theory and Cooperation (16 papers)Experimental Behavioral Economics Studies (14 papers)
In The Last Decade
Ugo Merlone
60 papers receiving 422 citations
Peers
Comparison fields: 5 of 90
- Economics and Econometrics 146
- Sociology and Political Science 135
- Statistical and Nonlinear Physics 103
- Management Science and Operations Research 100
- Safety Research 64
Countries citing papers authored by Ugo Merlone
This map shows the geographic impact of Ugo Merlone'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 Ugo Merlone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugo Merlone more than expected).
Fields of papers citing papers by Ugo Merlone
This network shows the impact of papers produced by Ugo Merlone. 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 Ugo Merlone. The network helps show where Ugo Merlone may publish in the future.
Co-authorship network of co-authors of Ugo Merlone
This figure shows the co-authorship network connecting the top 25 collaborators of Ugo Merlone. A scholar is included among the top collaborators of Ugo Merlone 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 Ugo Merlone. Ugo Merlone 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Negoziare in modo efficace | 2 |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | From Classroom Experiments to Computer Code | 9 |
| 19 | Personnel turnover in organizations: an agent-based simulation model. | 3 |
| 20 | A multi-agent simulation platform for modeling perfectly rational and bounded-rational agents in organizations | 7 |
About Ugo Merlone
Ugo Merlone is a scholar working on Management Science and Operations Research, Safety Research and Statistical and Nonlinear Physics, having authored 64 papers that have together received 439 indexed citations. Recurring topics across this work include Game Theory and Applications (21 papers), Evolutionary Game Theory and Cooperation (16 papers) and Experimental Behavioral Economics Studies (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (103 citations), Management Science and Operations Research (100 citations) and Safety Research (64 citations). Ugo Merlone has collaborated with scholars based in Italy, Hungary and Japan. Frequent co-authors include Ferenc Szidarovszky, Akio Matsumoto, Gian-Italo Bischi, Laura Gardini, Gian Italo Bischi, Davide Radi, Fabio Tramontana, Angelo Romano, Paul van Geert and Виктор Аврутин. Their work appears in journals such as Organization Science, European Journal of Operational Research and Current Opinion in Plant Biology.
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.