Mauro Passacantando
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Co-authors
- Danilo ArdagnaM. PappalardoBarbara PanicucciGiancarlo BigiMarco CastellaniMichele CiavottaJonatha AnselmiGiuliana Carello
- Topics
- Optimization and Variational Analysis (26 papers)Advanced Optimization Algorithms Research (20 papers)Cloud Computing and Resource Management (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchIEEE Access
- Partner nations
- ItalyIranUnited States
In The Last Decade
Mauro Passacantando
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 495
- Numerical Analysis 339
- Computer Networks and Communications 333
- Information Systems 272
- Management Science and Operations Research 130
Countries citing papers authored by Mauro Passacantando
This map shows the geographic impact of Mauro Passacantando'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 Mauro Passacantando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Passacantando more than expected).
Fields of papers citing papers by Mauro Passacantando
This network shows the impact of papers produced by Mauro Passacantando. 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 Mauro Passacantando. The network helps show where Mauro Passacantando may publish in the future.
Co-authorship network of co-authors of Mauro Passacantando
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Passacantando. A scholar is included among the top collaborators of Mauro Passacantando 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 Mauro Passacantando. Mauro Passacantando 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 26 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | A Non-cooperative Game Approach for RAN and Spectrum Sharing in Mobile Radio Networks | 5 |
| 16 | 3 | |
| 17 | 61 | |
| 18 | 12 | |
| 19 | 4 | |
| 20 | 5 |
About Mauro Passacantando
Mauro Passacantando is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Transportation, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (26 papers), Advanced Optimization Algorithms Research (20 papers) and Cloud Computing and Resource Management (11 papers). The work is most often cited by research in Numerical Analysis (339 citations), Computational Theory and Mathematics (495 citations) and Computer Networks and Communications (333 citations). Mauro Passacantando has collaborated with scholars based in Italy, Iran and United States. Frequent co-authors include Danilo Ardagna, M. Pappalardo, Barbara Panicucci, Giancarlo Bigi, Marco Castellani, Michele Ciavotta, Jonatha Anselmi, Giuliana Carello, Matteo Cesana and Giandomenico Mastroeni. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.
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.