Paolo Cazzaniga
- Molecular Biology
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Daniela BesozziMarco S. NobileAndrea TangherloniGiancarlo MauriRiccardo ColomboSimone SpolaorLeonardo RundoGabriella Pasi
- Topics
- Gene Regulatory Network Analysis (39 papers)Microbial Metabolic Engineering and Bioproduction (19 papers)Evolutionary Algorithms and Applications (14 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Paolo Cazzaniga
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 174
- Molecular Biology 501
- Artificial Intelligence 457
- Computer Vision and Pattern Recognition 247
- Computational Theory and Mathematics 194
- Radiology, Nuclear Medicine and Imaging 124
Countries citing papers authored by Paolo Cazzaniga
This map shows the geographic impact of Paolo Cazzaniga'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 Paolo Cazzaniga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Cazzaniga more than expected).
Fields of papers citing papers by Paolo Cazzaniga
This network shows the impact of papers produced by Paolo Cazzaniga. 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 Paolo Cazzaniga. The network helps show where Paolo Cazzaniga may publish in the future.
Co-authorship network of co-authors of Paolo Cazzaniga
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Cazzaniga. A scholar is included among the top collaborators of Paolo Cazzaniga 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 Paolo Cazzaniga. Paolo Cazzaniga 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 | Mathematical discussion in problem solving activities supported by technology: An achievable goal in primary school | 1 |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 199 | |
| 15 | 16 | |
| 16 | 21 | |
| 17 | The foundation of Evolutionary Petri Nets | 3 |
| 18 | 出芽酵母でのRas/cAMP/PKA経路のシミュレーションは安定的振動状態の確立を強調する | 1 |
| 19 | 30 | |
| 20 | 5 |
About Paolo Cazzaniga
Paolo Cazzaniga is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (39 papers), Microbial Metabolic Engineering and Bioproduction (19 papers) and Evolutionary Algorithms and Applications (14 papers). The work is most often cited by research in Artificial Intelligence (457 citations), Computational Theory and Mathematics (194 citations) and Computer Vision and Pattern Recognition (247 citations). Paolo Cazzaniga has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Daniela Besozzi, Marco S. Nobile, Andrea Tangherloni, Giancarlo Mauri, Riccardo Colombo, Simone Spolaor, Leonardo Rundo, Gabriella Pasi, Dario Pescini and Carmelo Militello. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.