Rui Mendes

4.8k total citations · 2 hit papers
24 papers, 3.5k citations indexed

About

Rui Mendes is a scholar working on Molecular Biology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Rui Mendes has authored 24 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Rui Mendes's work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Rui Mendes is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Rui Mendes collaborates with scholars based in Portugal, United States and Sweden. Rui Mendes's co-authors include James Kennedy, José Neves, Miguel Rocha, Arvind Mohais, Paulo Cortez, Eugénio C. Ferreira, Isabel Rocha, Paulo Maia, Kiran Raosaheb Patil and José P. Pinto and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Rui Mendes

23 papers receiving 3.3k citations

Hit Papers

The Fully Informed Particle Swarm: Simpler, Maybe Better 2003 2026 2010 2018 2004 2003 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Fully Informed Particle Swarm: Simpler, Maybe Better
    2004 1.3k citations Rui Mendes, James Kennedy et al. IEEE Transactions on Evolutionary Computation profile →
  2. Population structure and particle swarm performance
    2003 1.2k citations James Kennedy, Rui Mendes profile →

Peers

Rui Mendes
V. L. Huang Singapore
Borko Boškovič Slovenia
Guangming Lin China
Anne Auger France
Weifeng Gao China
Asanga Ratnaweera Sri Lanka
V. Žumer Slovenia
Zixing Cai China
Jagdish Chand Bansal India
Nurhan Karaboğa Türkiye
V. L. Huang Singapore
Rui Mendes
Citations per year, relative to Rui Mendes Rui Mendes (= 1×) peers V. L. Huang

Countries citing papers authored by Rui Mendes

Since Specialization
Citations

This map shows the geographic impact of Rui Mendes'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 Rui Mendes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Mendes more than expected).

Fields of papers citing papers by Rui Mendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Mendes. 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 Rui Mendes. The network helps show where Rui Mendes may publish in the future.

Co-authorship network of co-authors of Rui Mendes

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Mendes. A scholar is included among the top collaborators of Rui Mendes 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 Rui Mendes. Rui Mendes 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.
Oliveira, Nuno M.C., et al.. (2020). A realistic scooter rebalancing system via metaheuristics. RepositóriUM (Universidade do Minho). 265–266. 2 indexed citations
2.
Cortez, Paulo, et al.. (2020). Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Systems with Applications. 168. 114287–114287. 23 indexed citations
3.
Cortez, Paulo, et al.. (2019). Multi-step time series prediction intervals using neuroevolution. Neural Computing and Applications. 32(13). 8939–8953. 14 indexed citations
4.
Cortez, Paulo, et al.. (2019). Using Deep Learning for Mobile Marketing User Conversion Prediction. 1–8. 8 indexed citations
5.
Mendes, Rui, et al.. (2018). JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis. Knowledge-Based Systems. 155. 83–87. 4 indexed citations
6.
Carneiro, Sónia, et al.. (2015). Reconstructing transcriptional Regulatory Networks using data integration and Text Mining. 1552–1558. 1 indexed citations
7.
Mendes, Rui, et al.. (2014). Integrating Biological Databases in the Context of Transcriptional Regulatory Networks. International Journal of Bioscience Biochemistry and Bioinformatics. 4(5). 345–350. 1 indexed citations
8.
Rocha, Miguel, Paulo Maia, Rui Mendes, et al.. (2008). Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinformatics. 9(1). 499–499. 65 indexed citations
9.
Mendes, Rui, Anália Lourenço, Sónia Carneiro, et al.. (2008). A framework for the integrated analysis of metabolic and regulatory networks. RepositóriUM (Universidade do Minho). 7. 1–6. 1 indexed citations
10.
Mendes, Rui & James Kennedy. (2007). Stochastic barycenters and beta distribution for Gaussian particle swarms. 259–270. 9 indexed citations
11.
Rocha, Miguel, Rui Mendes, Paulo Maia, et al.. (2007). Evaluating simulated annealing algorithms in the optimization of bacterial strains. 4874. 473–484. 2 indexed citations
12.
Kennedy, James & Rui Mendes. (2006). Neighborhood topologies in fully informed and best-of-neighborhood particle swarms. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 36(4). 515–519. 269 indexed citations
13.
Mendes, Rui, Isabel Rocha, Eugénio C. Ferreira, & Miguel Rocha. (2006). A Comparison of Algorithms for the Optimization of Fermentation Processes. 2018–2025. 18 indexed citations
14.
Mendes, Rui & Arvind Mohais. (2005). DynDE: a Differential Evolution for Dynamic Optimization Problems. 3. 2808–2815. 150 indexed citations
15.
Mendes, Rui & José Neves. (2004). What Makes a Successful Society? Experiments with Population Topologies in Particle Swarms. 346–355. 8 indexed citations
16.
Mendes, Rui, James Kennedy, & José Neves. (2004). The Fully Informed Particle Swarm: Simpler, Maybe Better. IEEE Transactions on Evolutionary Computation. 8(3). 204–210. 1303 indexed citations breakdown →
17.
Kennedy, James & Rui Mendes. (2003). Population structure and particle swarm performance. 2. 1671–1676. 1169 indexed citations breakdown →
18.
Kennedy, James & Rui Mendes. (2003). Neighborhood topologies in fully-informed and best-of-neighborhood particle swarms. 45–50. 76 indexed citations
19.
Mendes, Rui, Paulo Cortez, Miguel Rocha, & José Neves. (2003). Particle swarms for feedforward neural network training. 1895–1899. 206 indexed citations
20.
Rocha, Miguel, Rui Mendes, Paulo Cortez, & José Neves. (2002). Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. 1. 671–678.

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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