Marco Botta
- Artificial Intelligence top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computational Theory and Mathematics
- Co-authors
- Davide CavagninoVictor PomponiuAttilio GiordanaRaffaele CalogeroFrancesca CorderoSyed HaiderPíetro LióIan X. Y. Leung
- Topics
- Advanced Steganography and Watermarking Techniques (12 papers)Chaos-based Image/Signal Encryption (9 papers)Climate change impacts on agriculture (8 papers)
- Partner nations
- ItalySingaporeUnited Kingdom
In The Last Decade
Marco Botta
59 papers receiving 475 citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 149
- Molecular Biology 141
- Computer Vision and Pattern Recognition 129
- Information Systems 49
- Computational Theory and Mathematics 29
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-authorship network of co-authors of Marco Botta
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Botta. A scholar is included among the top collaborators of Marco Botta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Botta. Marco Botta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 29 | |
| 11 | Adaptive artificial co-pilot as enabler for autonomous vehicles and intelligent transportation systems | 2 |
| 12 | Hierarchical Hidden Markov Models for User/Process Profile Learning | 1 |
| 13 | Learning complex and sparse events in long sequences | 3 |
| 14 | 8 | |
| 15 | Relational learning as search in a critical region | 15 |
| 16 | An experimental study of phase transitions in matching | 3 |
| 17 | FONN: Combining First Order Logic with Connectionist Learning | 11 |
| 18 | Structural characterization of the small molecular weight proteins present in UK101 | 3 |
| 19 | SMART+: a multi-strategy learning tool | 24 |
| 20 | Comparison of search strategies in learning relations | 3 |
About Marco Botta
Marco Botta is a scholar working on Signal Processing, Soil Science and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 499 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (9 papers) and Climate change impacts on agriculture (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Artificial Intelligence (149 citations) and Information Systems (49 citations). Marco Botta has collaborated with scholars based in Italy, Singapore and United Kingdom. Frequent co-authors include Davide Cavagnino, Victor Pomponiu, Attilio Giordana, Raffaele Calogero, Francesca Cordero, Syed Haider, Píetro Lió, Ian X. Y. Leung, Julien Mozziconacci and Lorenza Saitta. Their work appears in journals such as Bioinformatics, European Journal of Immunology and Information Sciences.
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.