Marco Protasi
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
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- Computational Geometry and Mesh Generation
Papers in
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- Complexity and Algorithms in Graphs 11
- Advanced Graph Theory Research 7
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- Neural Networks and Applications 6
- Machine Learning and Algorithms 3
- Fuzzy Logic and Control Systems 2
- Co-authors
- Giorgio Ausiello (9 shared papers)Pierluigi Crescenzi (2 shared papers)Alberto Marchetti-Spaccamela (6 shared papers)Roberto Battiti (5 shared papers)Giorgio Gambosi (3 shared papers)Viggo Kann (1 shared paper)Aurora D’Atri (1 shared paper)Maurizio Talamo (4 shared papers)
In The Last Decade
Marco Protasi
27 papers receiving 891 citations
Marco Protasi's Hit Papers
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 500
- Computer Graphics and Computer-Aided Design 84
- Industrial and Manufacturing Engineering 175
- Computer Networks and Communications 373
- Artificial Intelligence 300
Countries citing papers authored by Marco Protasi
This map shows the geographic impact of Marco Protasi'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 Marco Protasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Protasi more than expected).
Fields of papers citing papers by Marco Protasi
This network shows the impact of papers produced by Marco Protasi. 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 Marco Protasi. The network helps show where Marco Protasi may publish in the future.
Co-authors
The 13 scholars most cited alongside Marco Protasi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complexity and Approximation Hit paper breakdown → | 1999 | 499 |
| 2 | 2001 | 132 | |
| 3 | 1980 | 128 | |
| 4 | 1995 | 56 | |
| 5 | 1997 | 44 | |
| 6 | 1980 | 30 | |
| 7 | 1995 | 21 | |
| 8 | 1994 | 13 | |
| 9 | 1996 | 7 | |
| 10 | 1997 | 6 | |
| 11 | Proceedings of the 8th Colloquium on Trees in Algebra and Programming | 1983 | 6 |
| 12 | 1983 | 5 | |
| 13 | 1981 | 5 | |
| 14 | 2002 | 4 | |
| 15 | 1993 | 3 | |
| 16 | 1989 | 3 | |
| 17 | Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent | 1997 | 2 |
| 18 | 1999 | 2 | |
| 19 | 1979 | 2 | |
| 20 | 2002 | 2 |
About Marco Protasi
Marco Protasi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Signal Processing, having authored 29 papers that have together received 979 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (11 papers), Advanced Graph Theory Research (7 papers), Neural Networks and Applications (6 papers), Optimization and Search Problems (5 papers), Constraint Satisfaction and Optimization (4 papers), Machine Learning and Algorithms (3 papers), Data Management and Algorithms (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (500 citations), Computer Graphics and Computer-Aided Design (84 citations), Industrial and Manufacturing Engineering (175 citations), Computer Networks and Communications (373 citations) and Artificial Intelligence (300 citations). Marco Protasi has collaborated with scholars based in Italy, Sweden and Czechia. Frequent co-authors include Giorgio Ausiello, Pierluigi Crescenzi, Alberto Marchetti-Spaccamela, Roberto Battiti, Giorgio Gambosi, Viggo Kann, Aurora D’Atri, Maurizio Talamo, Luděk Kučera and Alessandro D’Atri. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Algorithmica, Journal of Computer and System Sciences and CALCOLO.
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.