Mario Casillo
Impact in
- Conservation top 2%
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Context-Aware Activity Recognition Systems 11
- Video Analysis and Summarization 5
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- AI in Service Interactions 4
- Co-authors
- Domenico Santaniello (29 shared papers)Francesco Colace (33 shared papers)Marco Lombardi (20 shared papers)Massimo De Santo (14 shared papers)Angelo Lorusso (18 shared papers)Carmine Valentino (15 shared papers)Fabio Clarizia (4 shared papers)Salvatore Iommelli (1 shared paper)
In The Last Decade
Mario Casillo
39 papers receiving 449 citations
Peers
Comparison fields: 5 of 84
- Conservation 35
- Geology 57
- Space and Planetary Science 13
- Signal Processing 75
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Mario Casillo
This map shows the geographic impact of Mario Casillo'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 Mario Casillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Casillo more than expected).
Fields of papers citing papers by Mario Casillo
This network shows the impact of papers produced by Mario Casillo. 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 Mario Casillo. The network helps show where Mario Casillo may publish in the future.
Co-authors
The 22 scholars most cited alongside Mario Casillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 54 | |
| 2 | 2020 | 51 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 34 | |
| 5 | 2019 | 28 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2024 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2024 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2025 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Mario Casillo
Mario Casillo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Information Systems, having authored 42 papers that have together received 470 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (7 papers), 3D Surveying and Cultural Heritage (6 papers), Video Analysis and Summarization (5 papers), Human Mobility and Location-Based Analysis (5 papers), Robotics and Automated Systems (5 papers), Conservation Techniques and Studies (4 papers) and AI in Service Interactions (4 papers). The work is most often cited by research in Conservation (35 citations), Geology (57 citations), Space and Planetary Science (13 citations), Signal Processing (75 citations) and Computer Vision and Pattern Recognition (102 citations). Mario Casillo has collaborated with scholars based in Italy, Taiwan and India. Frequent co-authors include Domenico Santaniello, Francesco Colace, Marco Lombardi, Massimo De Santo, Angelo Lorusso, Carmine Valentino, Fabio Clarizia, Salvatore Iommelli, Antonio De Maio and L. Landi. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Journal of the Association for Information Systems, IEEE Access, Mathematics and Computers in Simulation and Pattern Recognition Letters.
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.