Cesare Alippi
Impact in
- Artificial Intelligence top 0.2%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
-
- Energy Efficient Wireless Sensor Networks
Papers in
-
- Neural Networks and Applications 42
- Anomaly Detection Techniques and Applications 28
- Data Stream Mining Techniques 28
- Co-authors
- Manuel RoveriC. GalpertiGiacomo BoracchiVincenzo PiuriDaniele GrattarolaLorenzo LiviFilippo Maria BianchiGregory Ditzler
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (20 papers)IEEE Transactions on Instrumentation and Measurement (8 papers)IEEE Transactions on Fuzzy Systems (5 papers)Neurocomputing (4 papers)IEEE Computational Intelligence Magazine (4 papers)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Cesare Alippi
221 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 2.9k
- Computer Networks and Communications 1.4k
- Signal Processing 488
- Control and Systems Engineering 995
- Hardware and Architecture 278
Countries citing papers authored by Cesare Alippi
This map shows the geographic impact of Cesare Alippi'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 Cesare Alippi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cesare Alippi more than expected).
Fields of papers citing papers by Cesare Alippi
This network shows the impact of papers produced by Cesare Alippi. 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 Cesare Alippi. The network helps show where Cesare Alippi may publish in the future.
Co-authors
The 25 scholars most cited alongside Cesare Alippi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2019 | 5 | |
| 3 | 2014 | 1 | |
| 4 | 2013 | 1 | |
| 5 | 2013 | 1 | |
| 6 | 2013 | 1 | |
| 7 | 2013 | 1 | |
| 8 | 2013 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 1 |
About Cesare Alippi
Cesare Alippi is a scholar working on Artificial Intelligence, Hardware and Architecture, Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 231 papers that have together received 6.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (42 papers), Fault Detection and Control Systems (31 papers), Anomaly Detection Techniques and Applications (28 papers), Data Stream Mining Techniques (28 papers), Energy Efficient Wireless Sensor Networks (24 papers), Control Systems and Identification (13 papers), Energy Harvesting in Wireless Networks (12 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Computer Networks and Communications (1.4k citations), Signal Processing (488 citations), Control and Systems Engineering (995 citations) and Hardware and Architecture (278 citations). Cesare Alippi has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Manuel Roveri, C. Galperti, Giacomo Boracchi, Vincenzo Piuri, Daniele Grattarola, Lorenzo Livi, Filippo Maria Bianchi, Gregory Ditzler, Robi Polikar and Derong Liu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Fuzzy Systems, Neurocomputing and IEEE Computational Intelligence Magazine.
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.