Massimiliano d’Angelo
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Filippo CacaceStefano BattilottiAlfredo GermaniCarlo FischionePetr EkelReinaldo M. PalharesFrancesco ConteAlberto Sangiovanni‐Vincentelli
- Topics
- Stability and Control of Uncertain Systems (15 papers)Target Tracking and Data Fusion in Sensor Networks (14 papers)Distributed Control Multi-Agent Systems (12 papers)
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
Massimiliano d’Angelo
40 papers receiving 376 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 255
- Control and Systems Engineering 207
- Artificial Intelligence 131
- Electrical and Electronic Engineering 62
- Computational Theory and Mathematics 27
Countries citing papers authored by Massimiliano d’Angelo
This map shows the geographic impact of Massimiliano d’Angelo'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 Massimiliano d’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano d’Angelo more than expected).
Fields of papers citing papers by Massimiliano d’Angelo
This network shows the impact of papers produced by Massimiliano d’Angelo. 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 Massimiliano d’Angelo. The network helps show where Massimiliano d’Angelo may publish in the future.
Co-authorship network of co-authors of Massimiliano d’Angelo
This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano d’Angelo. A scholar is included among the top collaborators of Massimiliano d’Angelo 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 Massimiliano d’Angelo. Massimiliano d’Angelo 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 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 10 | |
| 14 | 35 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 20 | |
| 19 | [Mother and children with primary headache. A psychometric and psychological study]. | 1 |
| 20 | 7 |
About Massimiliano d’Angelo
Massimiliano d’Angelo is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 44 papers that have together received 390 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (15 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers) and Distributed Control Multi-Agent Systems (12 papers). The work is most often cited by research in Computer Networks and Communications (255 citations), Control and Systems Engineering (207 citations) and Artificial Intelligence (131 citations). Massimiliano d’Angelo has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Filippo Cacace, Stefano Battilotti, Alfredo Germani, Carlo Fischione, Petr Ekel, Reinaldo M. Palhares, Francesco Conte, Alberto Sangiovanni‐Vincentelli, Alessandro Pinto and Eelco Scholte. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Communications.
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.