Sara Silva
Impact in
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
Papers in
-
- Evolutionary Algorithms and Applications 48
- Metaheuristic Optimization Algorithms Research 44
- Reinforcement Learning in Robotics 8
- Machine Learning and Data Classification 8
-
- Viral Infectious Diseases and Gene Expression in Insects 16
- Bioinformatics and Genomic Networks 4
- Co-authors
- Leonardo Vanneschi (39 shared papers)Mauro Castelli (19 shared papers)Ernesto Costa (4 shared papers)Aleš Popovič (3 shared papers)Jonas S. Almeida (1 shared paper)Leonardo Trujillo (8 shared papers)Luca Manzoni (7 shared papers)Maria J. Vasconcelos (4 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (8 papers)Information Sciences (4 papers)Swarm and Evolutionary Computation (4 papers)Climate Services (3 papers)IEEE Access (2 papers)
- Partner nations
- PortugalItalyUnited Kingdom
In The Last Decade
Sara Silva
98 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 986
- Environmental Engineering 228
- Health, Toxicology and Mutagenesis 156
- Computational Theory and Mathematics 142
- Software 29
Countries citing papers authored by Sara Silva
This map shows the geographic impact of Sara Silva'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 Sara Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Silva more than expected).
Fields of papers citing papers by Sara Silva
This network shows the impact of papers produced by Sara Silva. 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 Sara Silva. The network helps show where Sara Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Silva, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 188 | |
| 2 | GPLAB A Genetic Programming Toolbox for MATLAB | 2004 | 173 |
| 3 | 2013 | 107 | |
| 4 | 2014 | 100 | |
| 5 | 2009 | 87 | |
| 6 | 2010 | 75 | |
| 7 | 2014 | 70 | |
| 8 | 2018 | 51 | |
| 9 | Dynamic maximum tree depth: a simple technique for avoiding bloat in tree-based GP | 2003 | 48 |
| 10 | 2011 | 45 | |
| 11 | 2019 | 43 | |
| 12 | 2010 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2015 | 38 | |
| 15 | 2014 | 37 | |
| 16 | 2014 | 34 | |
| 17 | 2013 | 30 | |
| 18 | 2009 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2020 | 25 |
About Sara Silva
Sara Silva is a scholar working on Artificial Intelligence, Molecular Biology, Plant Science, Pulmonary and Respiratory Medicine and Global and Planetary Change, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (48 papers), Metaheuristic Optimization Algorithms Research (44 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Reinforcement Learning in Robotics (8 papers), Machine Learning and Data Classification (8 papers), Horticultural and Viticultural Research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Artificial Intelligence (986 citations), Environmental Engineering (228 citations), Health, Toxicology and Mutagenesis (156 citations), Computational Theory and Mathematics (142 citations) and Software (29 citations). Sara Silva has collaborated with scholars based in Portugal, Italy and United Kingdom. Frequent co-authors include Leonardo Vanneschi, Mauro Castelli, Ernesto Costa, Aleš Popovič, Jonas S. Almeida, Leonardo Trujillo, Luca Manzoni, Maria J. Vasconcelos, Ana I. R. Cabral and Stephen Dignum. Their work appears in journals such as Genetic Programming and Evolvable Machines, Information Sciences, Swarm and Evolutionary Computation, Climate Services and IEEE Access.
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.