Umberto Bertelè
- Strategy and Management top 5%
- Marketing top 5%
- Management Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Giovanni AzzoneFrancesco BrioschiCristina MasellaGiuliano NociAndrea RangoneFilippo RengaG. GuardabassiSergio Ricci
- Topics
- Optimization and Variational Analysis (3 papers)Reinforcement Learning in Robotics (2 papers)Adaptive Dynamic Programming Control (2 papers)
- Journals
- IEEE Transactions on Automatic ControlInternational Journal of Production ResearchJournal of Mathematical Analysis and Applications
- Partner nations
- Italy
In The Last Decade
Umberto Bertelè
18 papers receiving 567 citations
Peers
Comparison fields: 5 of 77
- Strategy and Management 289
- Marketing 206
- Management Information Systems 141
- Computational Theory and Mathematics 82
- Management Science and Operations Research 79
Countries citing papers authored by Umberto Bertelè
This map shows the geographic impact of Umberto Bertelè'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 Umberto Bertelè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Bertelè more than expected).
Fields of papers citing papers by Umberto Bertelè
This network shows the impact of papers produced by Umberto Bertelè. 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 Umberto Bertelè. The network helps show where Umberto Bertelè may publish in the future.
Co-authorship network of co-authors of Umberto Bertelè
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Bertelè. A scholar is included among the top collaborators of Umberto Bertelè 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 Umberto Bertelè. Umberto Bertelè is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | L'ambiente come vantaggio competitivo: un'opportunità per le Imprese. | 1 |
| 4 | 70 | |
| 5 | 22 | |
| 6 | 171 | |
| 7 | 8 | |
| 8 | 96 | |
| 9 | 1 | |
| 10 | 75 | |
| 11 | 117 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 11 | |
| 19 | 12 |
About Umberto Bertelè
Umberto Bertelè is a scholar working on Numerical Analysis, Marketing and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 635 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (3 papers), Reinforcement Learning in Robotics (2 papers) and Adaptive Dynamic Programming Control (2 papers). The work is most often cited by research in Marketing (206 citations), Strategy and Management (289 citations) and Management Information Systems (141 citations). Umberto Bertelè has collaborated with scholars based in Italy. Frequent co-authors include Giovanni Azzone, Francesco Brioschi, Cristina Masella, Giuliano Noci, Andrea Rangone, Filippo Renga, G. Guardabassi, Sergio Ricci and Raffaello Balocco. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Production Research and Journal of Mathematical Analysis and Applications.
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.