Enrico De Santis
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering top 5%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Antonello RizziAlireza SadeghianAlessio MartinoFilippo Maria BianchiFabio Massimo Frattale MascioliLorenzo LiviStefano LeonoriMassimo Panella
- Topics
- Anomaly Detection Techniques and Applications (7 papers)Electricity Theft Detection Techniques (6 papers)Smart Grid Energy Management (5 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringArtificial Intelligence
In The Last Decade
Enrico De Santis
38 papers receiving 456 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 270
- Artificial Intelligence 172
- Control and Systems Engineering 167
- Sociology and Political Science 34
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Enrico De Santis
This map shows the geographic impact of Enrico De Santis'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 Enrico De Santis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico De Santis more than expected).
Fields of papers citing papers by Enrico De Santis
This network shows the impact of papers produced by Enrico De Santis. 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 Enrico De Santis. The network helps show where Enrico De Santis may publish in the future.
Co-authorship network of co-authors of Enrico De Santis
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico De Santis. A scholar is included among the top collaborators of Enrico De Santis 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 Enrico De Santis. Enrico De Santis 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 | 3 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Social emotional data analysis. The map of Europe | 2 |
| 19 | 4 | |
| 20 | 6 |
About Enrico De Santis
Enrico De Santis is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 44 papers that have together received 482 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Electricity Theft Detection Techniques (6 papers) and Smart Grid Energy Management (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (23 citations), Control and Systems Engineering (167 citations) and Artificial Intelligence (172 citations). Enrico De Santis has collaborated with scholars based in Italy and Canada. Frequent co-authors include Antonello Rizzi, Alireza Sadeghian, Alessio Martino, Filippo Maria Bianchi, Fabio Massimo Frattale Mascioli, Lorenzo Livi, Stefano Leonori, Massimo Panella, Alessandro Giuliani and Maurizio Paschero. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Energy.
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.