Marco Cococcioni
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 5%
- Ocean Engineering top 5%
- Co-authors
- Beatrice LazzeriniFrancesco MarcelloniNicola AndriolliLorenzo De MarinisEmanuele RuffaldiSergio SaponaraEleonora D’AndreaP. Castoldi
- Topics
- Numerical Methods and Algorithms (13 papers)Fuzzy Logic and Control Systems (10 papers)Neural Networks and Applications (10 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Marco Cococcioni
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 521
- Electrical and Electronic Engineering 351
- Computational Theory and Mathematics 164
- Control and Systems Engineering 159
- Ocean Engineering 113
Countries citing papers authored by Marco Cococcioni
This map shows the geographic impact of Marco Cococcioni'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 Cococcioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cococcioni more than expected).
Fields of papers citing papers by Marco Cococcioni
This network shows the impact of papers produced by Marco Cococcioni. 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 Cococcioni. The network helps show where Marco Cococcioni may publish in the future.
Co-authorship network of co-authors of Marco Cococcioni
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cococcioni. A scholar is included among the top collaborators of Marco Cococcioni 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 Marco Cococcioni. Marco Cococcioni 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 23 | |
| 10 | 32 | |
| 11 | 22 | |
| 12 | 53 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | Short-time forecasting of renewable production energy in solar photovoltaic installations | 3 |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 8 | |
| 20 | 5 |
About Marco Cococcioni
Marco Cococcioni is a scholar working on Theoretical Computer Science, Artificial Intelligence and Computational Theory and Mathematics, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (13 papers), Fuzzy Logic and Control Systems (10 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (521 citations), Theoretical Computer Science (16 citations) and Computational Theory and Mathematics (164 citations). Marco Cococcioni has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Beatrice Lazzerini, Francesco Marcelloni, Nicola Andriolli, Lorenzo De Marinis, Emanuele Ruffaldi, Sergio Saponara, Eleonora D’Andrea, P. Castoldi, Sara Volpi and M. Pappalardo. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.