Marco Cascio
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Video Surveillance and Tracking Methods 5
- Human Pose and Action Recognition 3
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Luigi Cinque (9 shared papers)Danilo Avola (9 shared papers)Gian Luca Foresti (7 shared papers)Alessio Fagioli (6 shared papers)Emanuele Rodolà (2 shared papers)Elena Peruzzi (1 shared paper)Elisabetta Bugianesi (1 shared paper)Chiara Petrioli (1 shared paper)
- Journals
- International Journal of Neural Systems (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Remote Sensing (1 paper)Pattern Recognition (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- Italy
In The Last Decade
Marco Cascio
10 papers receiving 264 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 120
- Human-Computer Interaction 32
- Hepatology 28
- Signal Processing 22
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Marco Cascio
This map shows the geographic impact of Marco Cascio'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 Cascio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cascio more than expected).
Fields of papers citing papers by Marco Cascio
This network shows the impact of papers produced by Marco Cascio. 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 Cascio. The network helps show where Marco Cascio may publish in the future.
Co-authors
The 21 scholars most cited alongside Marco Cascio, 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 | 2019 | 72 | |
| 2 | 2007 | 60 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 22 | |
| 7 | 2024 | 20 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2004 | 0 |
About Marco Cascio
Marco Cascio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Civil and Structural Engineering and Social Psychology, having authored 11 papers that have together received 268 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Gait Recognition and Analysis (2 papers), Fire Detection and Safety Systems (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Human-Computer Interaction (32 citations), Hepatology (28 citations), Signal Processing (22 citations) and Industrial and Manufacturing Engineering (20 citations). Marco Cascio has collaborated with scholars based in Italy. Frequent co-authors include Luigi Cinque, Danilo Avola, Gian Luca Foresti, Alessio Fagioli, Emanuele Rodolà, Elena Peruzzi, Elisabetta Bugianesi, Chiara Petrioli, Mario Rizzetto and F. Ridolfi. Their work appears in journals such as International Journal of Neural Systems, Computer Methods and Programs in Biomedicine, Remote Sensing, Pattern Recognition and IEEE Transactions on Multimedia.
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.