Sara Silva

4.1k total citations
105 papers, 1.9k citations indexed

About

Sara Silva is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science. According to data from OpenAlex, Sara Silva has authored 105 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 27 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Sara Silva's work include Evolutionary Algorithms and Applications (48 papers), Metaheuristic Optimization Algorithms Research (44 papers) and Viral Infectious Diseases and Gene Expression in Insects (16 papers). Sara Silva is often cited by papers focused on Evolutionary Algorithms and Applications (48 papers), Metaheuristic Optimization Algorithms Research (44 papers) and Viral Infectious Diseases and Gene Expression in Insects (16 papers). Sara Silva collaborates with scholars based in Portugal, Italy and United Kingdom. Sara Silva's co-authors include Leonardo Vanneschi, Mauro Castelli, Ernesto Costa, Aleš Popovič, Leonardo Trujillo, Jonas S. Almeida, Ana I. R. Cabral, Maria J. Vasconcelos, Luca Manzoni and Stephen Dignum and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Sara Silva

98 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Silva Portugal 23 986 390 228 156 142 105 1.9k
Michel Lang Germany 14 545 0.6× 263 0.7× 99 0.4× 21 0.1× 111 0.8× 39 1.7k
Edward Keedwell United Kingdom 21 273 0.3× 203 0.5× 297 1.3× 55 0.4× 175 1.2× 96 1.5k
Diego Andina Spain 19 489 0.5× 99 0.3× 176 0.8× 75 0.5× 48 0.3× 93 1.2k
Rujing Wang China 30 270 0.3× 294 0.8× 143 0.6× 82 0.5× 142 1.0× 167 3.0k
Esperanza García–Gonzalo Spain 24 369 0.4× 43 0.1× 425 1.9× 168 1.1× 93 0.7× 80 2.1k
Jakob Richter Germany 8 306 0.3× 117 0.3× 168 0.7× 19 0.1× 62 0.4× 19 1.3k
Jia Wu China 16 472 0.5× 83 0.2× 138 0.6× 26 0.2× 73 0.5× 58 2.0k
Weide Li China 22 214 0.2× 154 0.4× 265 1.2× 120 0.8× 39 0.3× 66 1.5k
M. Sánchez-Castillo Spain 4 419 0.4× 116 0.3× 296 1.3× 27 0.2× 20 0.1× 10 1.3k
Giorgio Corani Switzerland 18 437 0.4× 39 0.1× 272 1.2× 174 1.1× 107 0.8× 68 1.1k

Countries citing papers authored by Sara Silva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sara Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Silva. A scholar is included among the top collaborators of Sara Silva 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 Sara Silva. Sara Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Almeida, José Guilherme de, Inês Santiago, Celso Matos, et al.. (2025). Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning–assisted Prostate Cancer Classification Using Multiparametric MRI. Radiology Artificial Intelligence. 7(3). e230555–e230555. 3 indexed citations
2.
Bakurov, Illya, et al.. (2024). Geometric semantic genetic programming with normalized and standardized random programs. Genetic Programming and Evolvable Machines. 25(1). 3 indexed citations
3.
Silva, Sara, et al.. (2024). Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genetic Programming and Evolvable Machines. 25(2). 1 indexed citations
4.
Magaia, Naércio, et al.. (2024). Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices. Scientific Data. 11(1). 1363–1363. 1 indexed citations
5.
Vanneschi, Leonardo, et al.. (2024). M6GP: Multiobjective Feature Engineering. 1–8. 1 indexed citations
6.
Vanneschi, Leonardo & Sara Silva. (2023). Lectures on Intelligent Systems. 15 indexed citations
7.
Silva, Sara, et al.. (2023). A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI. Cancers. 15(5). 1467–1467. 24 indexed citations
8.
Sanderson, Michael, et al.. (2023). The probability of unprecedented high rainfall in wine regions of northern Portugal. Climate Services. 30. 100363–100363. 9 indexed citations
9.
Terrado, Marta, Raül Marcos-Matamoros, Nube González-Reviriego, et al.. (2023). Co-production pathway of an end-to-end climate service for improved decision-making in the wine sector. Climate Services. 30. 100347–100347. 8 indexed citations
10.
Magaia, Naércio, et al.. (2023). An Intelligent Intrusion Detection System for 5G-Enabled Internet of Vehicles. Electronics. 12(8). 1757–1757. 25 indexed citations
11.
Cava, William La, et al.. (2023). Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Computer Science. 5(1). 4 indexed citations
12.
Silva, Sara, et al.. (2023). Explainable Representations for Relation Prediction in Knowledge Graphs. 635–646. 2 indexed citations
13.
Marcos-Matamoros, Raül, Lluís Palma, Núria Pérez‐Zanón, et al.. (2023). Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector. Climate Services. 30. 100343–100343. 6 indexed citations
14.
Cabral, Ana I. R., et al.. (2022). Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest. International Journal of Remote Sensing. 43(9). 3298–3319. 8 indexed citations
15.
Cabral, Ana I. R., et al.. (2021). Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote Sensing. 13(9). 1623–1623. 17 indexed citations
16.
Silva, Sara, David Homolka, & Ramesh S. Pillai. (2017). Characterization of the mammalian RNA exonuclease 5/NEF-sp as a testis-specific nuclear 3′ → 5′ exoribonuclease. RNA. 23(9). 1385–1392. 8 indexed citations
17.
18.
Trujillo, Leonardo, et al.. (2016). Evolving genetic programming classifiers with novelty search. Information Sciences. 369. 347–367. 10 indexed citations
19.
Silva, Sara & Ernesto Costa. (2004). Dynamic Limits for Bloat Control: Variations on Size and Depth.. Genetic and Evolutionary Computation Conference. 666–677. 22 indexed citations
20.
Silva, Sara & Jonas S. Almeida. (2003). Dynamic maximum tree depth: a simple technique for avoiding bloat in tree-based GP. Genetic and Evolutionary Computation Conference. 1776–1787. 48 indexed citations

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.

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