Marco Todescato
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Ruggero CarliLuca SchenatoAndrea CarronGianluigi PillonettoSaverio BolognaniGrazia BarchiGuido CavraroNicoletta Bof
- Topics
- Distributed Control Multi-Agent Systems (6 papers)Power System Optimization and Stability (5 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)
- Partner nations
- ItalyGermanySwitzerland
In The Last Decade
Marco Todescato
20 papers receiving 251 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 133
- Electrical and Electronic Engineering 96
- Artificial Intelligence 75
- Control and Systems Engineering 64
- Aerospace Engineering 31
Countries citing papers authored by Marco Todescato
This map shows the geographic impact of Marco Todescato'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 Todescato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Todescato more than expected).
Fields of papers citing papers by Marco Todescato
This network shows the impact of papers produced by Marco Todescato. 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 Todescato. The network helps show where Marco Todescato may publish in the future.
Co-authorship network of co-authors of Marco Todescato
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Todescato. A scholar is included among the top collaborators of Marco Todescato 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 Todescato. Marco Todescato 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 | 8 | |
| 3 | 14 | |
| 4 | 52 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 0 | |
| 18 | 8 | |
| 19 | 33 | |
| 20 | 24 |
About Marco Todescato
Marco Todescato is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computational Mechanics, having authored 23 papers that have together received 261 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (6 papers), Power System Optimization and Stability (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (133 citations), Control and Systems Engineering (64 citations) and Artificial Intelligence (75 citations). Marco Todescato has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Ruggero Carli, Luca Schenato, Andrea Carron, Gianluigi Pillonetto, Saverio Bolognani, Grazia Barchi, Guido Cavraro, Nicoletta Bof, Kasım Sinan Yıldırım and Antonio Franchi. Their work appears in journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.
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.