Paolo Cazzaniga
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications 14
- Metaheuristic Optimization Algorithms Research 10
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- Advanced Multi-Objective Optimization Algorithms 12
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- Gene Regulatory Network Analysis 39
- Microbial Metabolic Engineering and Bioproduction 19
- DNA and Biological Computing 10
- Protein Structure and Dynamics 9
- Single-cell and spatial transcriptomics 9
- Co-authors
- Daniela BesozziMarco S. NobileAndrea TangherloniGiancarlo MauriRiccardo ColomboSimone SpolaorLeonardo RundoGabriella Pasi
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Paolo Cazzaniga
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 457
- Computational Theory and Mathematics 194
- Computer Vision and Pattern Recognition 247
- Molecular Biology 501
- Neurology 55
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
The 25 scholars most cited alongside Paolo Cazzaniga, 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 | 2024 | 0 | |
| 2 | Mathematical discussion in problem solving activities supported by technology: An achievable goal in primary school | 2023 | 1 |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 39 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 199 | |
| 15 | 2019 | 16 | |
| 16 | 2014 | 21 | |
| 17 | The foundation of Evolutionary Petri Nets | 2013 | 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 | 2012 | 1 |
| 19 | 2007 | 30 | |
| 20 | 2006 | 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), Evolutionary Algorithms and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), DNA and Biological Computing (10 papers), Metaheuristic Optimization Algorithms Research (10 papers), Protein Structure and Dynamics (9 papers) and Single-cell and spatial transcriptomics (9 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.
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.