Carlo S. Regazzoni

6.7k citations
384 papers · 4.4k indexed · h-index 32

Carlo S. Regazzoni

356 papers receiving 4.1k citations

Peers

Carlo S. Regazzoni
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 2.3k
  • Signal Processing 425
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 823
  • Aerospace Engineering 862
Replace Gian Luca Foresti with:
Gian Luca Foresti Italy
Lyudmila Mihaylova United Kingdom
Tony Xiao Han China
Jiachen Yang China
Jun Cheng China
Sergiu Nedevschi Romania
Hichem Snoussi France
Xi Li China
Andrea Prati Italy
Nikos Papanikolopoulos United States
Carlo S. Regazzoni relative to Gian Luca Foresti Italy Gian Luca Foresti's profile →
Citations per field
00.5×1.5×
Gian Luca Foresti · 1×
Citations per year

Countries citing papers authored by Carlo S. Regazzoni

Since Specialization
Citations

This map shows the geographic impact of Carlo S. Regazzoni'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 Carlo S. Regazzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo S. Regazzoni more than expected).

Fields of papers citing papers by Carlo S. Regazzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlo S. Regazzoni. 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 Carlo S. Regazzoni. The network helps show where Carlo S. Regazzoni may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Carlo S. Regazzoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carlo S. Regazzoni Line = papers co-authored together Carlo S. Regazzoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20243
4 20243
5 20235
6 202211
7 202214
8 202217
9 202112
10 202040
11 20205
12 202022
13
Distributed object tracking based on square root cubature H-infinity information filter
20145
14
SIGNAL INTERCEPTION WITH MULTIPLE ANTENNAS FOR COGNITIVE RADIO
20083
15 200710
16
Sensorial antennas for radio-features extraction in vehicular cognitive applications
20061
17
A distributed approach to mode identification and spectrum monitoring for cognitive radios
200511
18 20043
19
The PASSWORDS Project
19962
20
Integration of Territorial Maps in the Vision System of an Autonomous Land Vehicle
19895

About Carlo S. Regazzoni

Carlo S. Regazzoni is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 384 papers that have together received 4.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (93 papers), Anomaly Detection Techniques and Applications (60 papers), Advanced Vision and Imaging (46 papers), Advanced Image and Video Retrieval Techniques (42 papers), Cognitive Radio Networks and Spectrum Sensing (36 papers), Target Tracking and Data Fusion in Sensor Networks (36 papers), Robotics and Sensor-Based Localization (34 papers) and Time Series Analysis and Forecasting (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Signal Processing (425 citations) and Artificial Intelligence (1.2k citations). Carlo S. Regazzoni has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Lucio Marcenaro, Vittorio Murino, Andrea Trucco, Gian Luca Foresti, Alessandra Teseï, G. Vernazza, Pietro Morerio, Claudio Sacchi, Matthias Rauterberg and Alejandro Betancourt. Their work appears in journals such as Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Vehicular Technology and IEEE Signal Processing 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.

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2026