Carmelo Cassisi
Impact in
- Geophysics top 10%
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Geological and Geochemical Analysis
- Earthquake Detection and Analysis
- Artificial Intelligence top 10%
- Seismology and Earthquake Studies
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
-
- Seismology and Earthquake Studies 8
- Advanced Computational Techniques and Applications 2
- Advanced Clustering Algorithms Research 2
-
- Earthquake Detection and Analysis 5
- Seismic Waves and Analysis 4
- earthquake and tectonic studies 2
- Co-authors
- Alfredo Pulvirenti (4 shared papers)P. Montalto (12 shared papers)Andrea Cannata (10 shared papers)Rosalba Giugno (2 shared papers)Alfredo Ferro (1 shared paper)Domenico Patanè (4 shared papers)Marco Aliotta (10 shared papers)Giuseppe Pigola (1 shared paper)
In The Last Decade
Carmelo Cassisi
16 papers receiving 358 citations
Peers
Comparison fields: 5 of 75
- Geophysics 170
- Artificial Intelligence 192
- Signal Processing 61
- Atmospheric Science 55
- Management, Monitoring, Policy and Law 22
Countries citing papers authored by Carmelo Cassisi
This map shows the geographic impact of Carmelo Cassisi'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 Carmelo Cassisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmelo Cassisi more than expected).
Fields of papers citing papers by Carmelo Cassisi
This network shows the impact of papers produced by Carmelo Cassisi. 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 Carmelo Cassisi. The network helps show where Carmelo Cassisi may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmelo Cassisi, 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 | 2012 | 95 | |
| 2 | 2012 | 49 | |
| 3 | 2019 | 47 | |
| 4 | 2013 | 41 | |
| 5 | 2011 | 37 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 22 | |
| 8 | Data Mining | 1998 | 15 |
| 9 | 2021 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2020 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Carmelo Cassisi
Carmelo Cassisi is a scholar working on Artificial Intelligence, Geophysics, Signal Processing, Atmospheric Science and Global and Planetary Change, having authored 18 papers that have together received 370 indexed citations. Recurring topics across this work include Seismology and Earthquake Studies (8 papers), Earthquake Detection and Analysis (5 papers), Seismic Waves and Analysis (4 papers), Time Series Analysis and Forecasting (3 papers), Advanced Computational Techniques and Applications (2 papers), Meteorological Phenomena and Simulations (2 papers), Advanced Clustering Algorithms Research (2 papers) and earthquake and tectonic studies (2 papers). The work is most often cited by research in Geophysics (170 citations), Artificial Intelligence (192 citations), Signal Processing (61 citations), Atmospheric Science (55 citations) and Management, Monitoring, Policy and Law (22 citations). Carmelo Cassisi has collaborated with scholars based in Italy, Mexico and Belgium. Frequent co-authors include Alfredo Pulvirenti, P. Montalto, Andrea Cannata, Rosalba Giugno, Alfredo Ferro, Domenico Patanè, Marco Aliotta, Giuseppe Pigola, Luciano Scarfì and A. Messina. Their work appears in journals such as Pure and Applied Geophysics, Bulletin of Volcanology, Journal of Geophysical Research Solid Earth, Scientific Reports and Remote Sensing.
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.