Marco Botta
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
Papers in
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- Logic, Reasoning, and Knowledge 7
- Semantic Web and Ontologies 6
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- Advanced Steganography and Watermarking Techniques 13
- Chaos-based Image/Signal Encryption 9
- Digital Media Forensic Detection 6
- Co-authors
- Davide Cavagnino (17 shared papers)Victor Pomponiu (10 shared papers)Attilio Giordana (10 shared papers)Francesca Cordero (4 shared papers)Raffaele Calogero (3 shared papers)Ian X. Y. Leung (1 shared paper)Julien Mozziconacci (1 shared paper)Píetro Lió (1 shared paper)
- Journals
- Applied Sciences (3 papers)Machine Learning (3 papers)Agronomy (2 papers)Land Degradation and Development (1 paper)Agricultural Systems (1 paper)
- Partner nations
- ItalySingaporeUnited Kingdom
In The Last Decade
Marco Botta
59 papers receiving 495 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 134
- Artificial Intelligence 149
- Information Systems 50
- Signal Processing 22
- Molecular Biology 134
Countries citing papers authored by Marco Botta
This map shows the geographic impact of Marco Botta'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 Botta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Botta more than expected).
Fields of papers citing papers by Marco Botta
This network shows the impact of papers produced by Marco Botta. 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 Botta. The network helps show where Marco Botta may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Botta, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 88 | |
| 2 | 2008 | 52 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 29 | |
| 5 | 2015 | 26 | |
| 6 | SMART+: a multi-strategy learning tool | 1993 | 24 |
| 7 | 2002 | 19 | |
| 8 | 2014 | 19 | |
| 9 | Relational learning as search in a critical region | 2003 | 15 |
| 10 | 1993 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2014 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | FONN: Combining First Order Logic with Connectionist Learning | 1997 | 11 |
| 17 | 2020 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2004 | 8 | |
| 20 | 1997 | 7 |
About Marco Botta
Marco Botta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Ecology, Evolution, Behavior and Systematics, having authored 66 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (9 papers), Climate change impacts on agriculture (8 papers), Soil Carbon and Nitrogen Dynamics (7 papers), Logic, Reasoning, and Knowledge (7 papers), Semantic Web and Ontologies (6 papers), Digital Media Forensic Detection (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Artificial Intelligence (149 citations), Information Systems (50 citations), Signal Processing (22 citations) and Molecular Biology (134 citations). Marco Botta has collaborated with scholars based in Italy, Singapore and United Kingdom. Frequent co-authors include Davide Cavagnino, Victor Pomponiu, Attilio Giordana, Francesca Cordero, Raffaele Calogero, Ian X. Y. Leung, Julien Mozziconacci, Píetro Lió, Syed Haider and Lorenza Saitta. Their work appears in journals such as Applied Sciences, Machine Learning, Agronomy, Land Degradation and Development and Agricultural Systems.
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.