Simone Spolaor
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Gene Regulatory Network Analysis 15
- Microbial Metabolic Engineering and Bioproduction 8
- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 3
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- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 5
- Co-authors
- Marco S. Nobile (33 shared papers)Paolo Cazzaniga (27 shared papers)Daniela Besozzi (24 shared papers)Giancarlo Mauri (12 shared papers)Andrea Tangherloni (10 shared papers)Uzay Kaymak (5 shared papers)Leonardo Rundo (9 shared papers)Yoeri van de Burgt (3 shared papers)
- Journals
- Bioinformatics (2 papers)Applied Sciences (2 papers)PLoS Computational Biology (2 papers)International Journal of Computational Intelligence Systems (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Simone Spolaor
33 papers receiving 387 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 173
- Computational Theory and Mathematics 67
- Health Informatics 4
- Modeling and Simulation 12
- Biophysics 14
Countries citing papers authored by Simone Spolaor
This map shows the geographic impact of Simone Spolaor'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 Simone Spolaor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Spolaor more than expected).
Fields of papers citing papers by Simone Spolaor
This network shows the impact of papers produced by Simone Spolaor. 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 Simone Spolaor. The network helps show where Simone Spolaor may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Spolaor, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2019 | 42 | |
| 3 | 2020 | 39 | |
| 4 | 2018 | 27 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2018 | 5 |
About Simone Spolaor
Simone Spolaor is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering and Genetics, having authored 36 papers that have together received 395 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Single-cell and spatial transcriptomics (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Computational Drug Discovery Methods (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Computational Theory and Mathematics (67 citations), Health Informatics (4 citations), Modeling and Simulation (12 citations) and Biophysics (14 citations). Simone Spolaor has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Andrea Tangherloni, Uzay Kaymak, Leonardo Rundo, Yoeri van de Burgt, Paschalis Gkoupidenis and Luca Manzoni. Their work appears in journals such as Bioinformatics, Applied Sciences, PLoS Computational Biology, International Journal of Computational Intelligence Systems and IEEE Journal of Biomedical and Health Informatics.
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.