Rui Henriques

3.1k total citations
81 papers, 868 citations indexed

About

Rui Henriques is a scholar working on Artificial Intelligence, Molecular Biology and Transportation. According to data from OpenAlex, Rui Henriques has authored 81 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Molecular Biology and 14 papers in Transportation. Recurrent topics in Rui Henriques's work include Gene expression and cancer classification (20 papers), Data Mining Algorithms and Applications (13 papers) and Human Mobility and Location-Based Analysis (12 papers). Rui Henriques is often cited by papers focused on Gene expression and cancer classification (20 papers), Data Mining Algorithms and Applications (13 papers) and Human Mobility and Location-Based Analysis (12 papers). Rui Henriques collaborates with scholars based in Portugal, France and United States. Rui Henriques's co-authors include Sara C. Madeira, Elisabete Arsénio, Cláudia Antunes, Ana Paiva, Rafael S. Costa, Iolanda Leite, Carlos Martinho, Patrícia M. Pascoal, Enrique Romero and Hugo Morais and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Scientific Reports.

In The Last Decade

Rui Henriques

78 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Henriques Portugal 18 301 217 131 114 71 81 868
Davide Bacciu Italy 16 69 0.2× 632 2.9× 95 0.7× 21 0.2× 32 0.5× 123 1.2k
Ram Ramamoorthy United Kingdom 9 34 0.1× 421 1.9× 122 0.9× 52 0.5× 26 0.4× 15 824
Arto Klami Finland 21 191 0.6× 348 1.6× 99 0.8× 22 0.2× 11 0.2× 86 1.1k
Chengsheng Mao United States 19 268 0.9× 1.4k 6.4× 268 2.0× 18 0.2× 22 0.3× 53 2.1k
Shi‐Min Cai China 18 111 0.4× 169 0.8× 62 0.5× 92 0.8× 10 0.1× 113 1.3k
Mohak Shah Canada 7 103 0.3× 502 2.3× 127 1.0× 10 0.1× 12 0.2× 10 1.0k
Yifan Zhu China 19 34 0.1× 455 2.1× 239 1.8× 34 0.3× 37 0.5× 106 987

Countries citing papers authored by Rui Henriques

Since Specialization
Citations

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

Fields of papers citing papers by Rui Henriques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Henriques

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Henriques. A scholar is included among the top collaborators of Rui Henriques 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 Henriques. Rui Henriques 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.
Costa, Rafael S., et al.. (2025). Integrating statistical significance and discriminative power in pattern discovery. Knowledge-Based Systems. 316. 113356–113356.
2.
Costa, Rafael S., et al.. (2024). Pattern‐centric transformation of omics data grounded on discriminative gene associations aids predictive tasks in TCGA while ensuring interpretability. Biotechnology and Bioengineering. 121(9). 2881–2892. 1 indexed citations
3.
Henriques, Rui, et al.. (2023). EEG To FMRI Synthesis: Is Deep Learning a Candidate?. Journal of the Association for Information Systems.
4.
Henriques, Rui, et al.. (2023). Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches. Computational and Structural Biotechnology Journal. 21. 4960–4973. 10 indexed citations
5.
Costa, Rafael S., et al.. (2023). TriSig: Evaluating the statistical significance of triclusters. Pattern Recognition. 149. 110231–110231. 3 indexed citations
6.
Silva, António Rito, et al.. (2023). Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment. IEEE Transactions on Computational Social Systems. 11(1). 1108–1120. 1 indexed citations
7.
Madeira, Luís, et al.. (2023). Prepandemic psychotropic drug status in Portugal: a nationwide pharmacoepidemiological profile. Scientific Reports. 13(1). 6912–6912. 4 indexed citations
8.
Costa, Rafael S., et al.. (2022). DISA tool: Discriminative and informative subspace assessment with categorical and numerical outcomes. PLoS ONE. 17(10). e0276253–e0276253. 3 indexed citations
9.
10.
Castro, Carolina, Duarte Valério, Pedro Barahona, et al.. (2022). IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain. Computer Methods and Programs in Biomedicine. 219. 106754–106754. 1 indexed citations
11.
Henriques, Rui, et al.. (2022). Route choice estimation in rail transit systems using smart card data: handling vehicle schedule and walking time uncertainties. European Transport Research Review. 14(1). 31–31. 6 indexed citations
12.
Vinga, Susana, et al.. (2021). Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks. Water. 13(18). 2551–2551. 10 indexed citations
13.
14.
Costa, Rafael S., et al.. (2021). Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study. Journal of Medical Internet Research. 23(4). e26075–e26075. 11 indexed citations
15.
Costa, Rafael S., et al.. (2021). DI2: prior-free and multi-item discretization of biological data and its applications. BMC Bioinformatics. 22(1). 426–426. 4 indexed citations
16.
Lobo, João, Rui Henriques, & Sara C. Madeira. (2021). G-Tric: generating three-way synthetic datasets with triclustering solutions. BMC Bioinformatics. 22(1). 16–16. 5 indexed citations
17.
Romero, Enrique, et al.. (2020). On the use of pairwise distance learning for brain signal classification with limited observations. Artificial Intelligence in Medicine. 105. 101852–101852. 26 indexed citations
18.
Mendes, Nuno D., Rui Henriques, Élisabeth Rémy, et al.. (2018). Estimating Attractor Reachability in Asynchronous Logical Models. Frontiers in Physiology. 9. 1161–1161. 10 indexed citations
19.
Henriques, Rui, et al.. (2017). BicPAMS: software for biological data analysis with pattern-based biclustering. BMC Bioinformatics. 18(1). 82–82. 40 indexed citations
20.
Henriques, Rui & Sara C. Madeira. (2014). BicPAM: Pattern-based biclustering for biomedical data analysis. Algorithms for Molecular Biology. 9(1). 27–27. 43 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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