Gaetano Musella
- Industrial and Manufacturing Engineering top 5%
- Economics and Econometrics top 10%
- Industrial and Manufacturing Engineering top 5%
- Environmental Engineering
- Building and Construction top 10%
- Co-authors
- Massimiliano AgovinoRosalia CastellanoMassimiliano CercielloGennaro PunzoMarcello RisitanoMarco FerrettiAntonio GarofaloAlessandro Crociata
- Topics
- Economic and Environmental Valuation (11 papers)Municipal Solid Waste Management (10 papers)Labor market dynamics and wage inequality (6 papers)
- Partner nations
- Italy
In The Last Decade
Gaetano Musella
27 papers receiving 344 citations
Peers
Comparison fields: 5 of 64
- Industrial and Manufacturing Engineering 128
- Economics and Econometrics 111
- Industrial and Manufacturing Engineering 76
- Environmental Engineering 55
- Building and Construction 55
Countries citing papers authored by Gaetano Musella
This map shows the geographic impact of Gaetano Musella'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 Gaetano Musella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaetano Musella more than expected).
Fields of papers citing papers by Gaetano Musella
This network shows the impact of papers produced by Gaetano Musella. 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 Gaetano Musella. The network helps show where Gaetano Musella may publish in the future.
Co-authorship network of co-authors of Gaetano Musella
This figure shows the co-authorship network connecting the top 25 collaborators of Gaetano Musella. A scholar is included among the top collaborators of Gaetano Musella 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 Gaetano Musella. Gaetano Musella 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 | 29 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 68 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 24 | |
| 17 | 9 | |
| 18 | 41 | |
| 19 | A Rif Regression Approach To Evaluate Wage Changes: A Focus On Italy | 0 |
| 20 | 1 |
About Gaetano Musella
Gaetano Musella is a scholar working on Industrial and Manufacturing Engineering, Economics and Econometrics and Business and International Management, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Economic and Environmental Valuation (11 papers), Municipal Solid Waste Management (10 papers) and Labor market dynamics and wage inequality (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (128 citations), Industrial and Manufacturing Engineering (76 citations) and Transportation (39 citations). Gaetano Musella has collaborated with scholars based in Italy. Frequent co-authors include Massimiliano Agovino, Rosalia Castellano, Massimiliano Cerciello, Gennaro Punzo, Marcello Risitano, Marco Ferretti, Antonio Garofalo, Alessandro Crociata, P Zanetti and Katia Marchesano. Their work appears in journals such as Journal of Cleaner Production, Social Science & Medicine and Ecological Economics.
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.