Luis Rueda

2.1k total citations
122 papers, 1.1k citations indexed

About

Luis Rueda is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Luis Rueda has authored 122 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 28 papers in Artificial Intelligence and 17 papers in Computational Theory and Mathematics. Recurrent topics in Luis Rueda's work include Bioinformatics and Genomic Networks (35 papers), Gene expression and cancer classification (34 papers) and Machine Learning in Bioinformatics (19 papers). Luis Rueda is often cited by papers focused on Bioinformatics and Genomic Networks (35 papers), Gene expression and cancer classification (34 papers) and Machine Learning in Bioinformatics (19 papers). Luis Rueda collaborates with scholars based in Canada, Chile and United States. Luis Rueda's co-authors include Abedalrhman Alkhateeb, Alioune Ngom, B. John Oommen, Sherif Saad, Mina Maleki, Waguih ElMaraghy, Dora Cavallo‐Medved, Mehrdad Saif, Lisa A. Porter and Patrick C. K. Hung and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Luis Rueda

112 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Rueda Canada 19 509 289 112 108 106 122 1.1k
Alioune Ngom Canada 18 540 1.1× 255 0.9× 74 0.7× 122 1.1× 147 1.4× 90 1.2k
David Bednarski United States 8 1.4k 2.7× 539 1.9× 72 0.6× 120 1.1× 282 2.7× 9 2.2k
Nigel Duffy United States 7 1.2k 2.3× 920 3.2× 126 1.1× 141 1.3× 363 3.4× 14 2.3k
Lan Huang China 21 522 1.0× 590 2.0× 74 0.7× 116 1.1× 189 1.8× 152 1.7k
Borja Calvo Spain 15 637 1.3× 380 1.3× 43 0.4× 123 1.1× 60 0.6× 40 1.4k
Saurav Mallik India 27 832 1.6× 447 1.5× 127 1.1× 111 1.0× 195 1.8× 188 2.1k
Muhammad Iqbal Pakistan 18 419 0.8× 460 1.6× 75 0.7× 84 0.8× 152 1.4× 75 1.5k
Md. Rezaul Karim Germany 16 196 0.4× 464 1.6× 119 1.1× 122 1.1× 77 0.7× 38 1.1k
Stijn Meganck Belgium 10 596 1.2× 317 1.1× 36 0.3× 53 0.5× 132 1.2× 25 1.1k
Werner Dubitzky United Kingdom 21 443 0.9× 324 1.1× 124 1.1× 90 0.8× 71 0.7× 91 1.3k

Countries citing papers authored by Luis Rueda

Since Specialization
Citations

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

Fields of papers citing papers by Luis Rueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Rueda

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Rueda. A scholar is included among the top collaborators of Luis Rueda 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 Luis Rueda. Luis Rueda 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
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Duan, Lian, et al.. (2025). Ligand-receptor dynamics in heterophily-aware graph neural networks for enhanced cell type prediction from single-cell RNA-seq data. Frontiers in Molecular Biosciences. 12. 1547231–1547231.
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Zeng, Raymond Jianxiong, et al.. (2024). SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication. Briefings in Bioinformatics. 25(3). 1 indexed citations
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Kordestani, Mojtaba, et al.. (2023). Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques. 3265–3270. 2 indexed citations
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Rueda, Luis, et al.. (2022). Computationally repurposing drugs for breast cancer subtypes using a network-based approach. BMC Bioinformatics. 23(1). 143–143. 11 indexed citations
10.
Rueda, Luis, et al.. (2022). Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data. Scientific Reports. 12(1). 120–120. 9 indexed citations
11.
Li, Yixun, Mina Maleki, Nicholas J. Carruthers, et al.. (2018). The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins. BMC Bioinformatics. 19(S14). 410–410. 7 indexed citations
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Rueda, Luis, et al.. (2012). Prediction of crystal packing and biological protein-protein interactions. 16–20. 1 indexed citations
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Rueda, Luis, et al.. (2011). Image segmentation of biofilm structures using optimal multi-level thresholding. International Journal of Data Mining and Bioinformatics. 5(3). 266–266. 4 indexed citations
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Villagrán, Marcelo, et al.. (2009). Biofilm growth kinetics of a monomethylamine producing Alphaproteobacteria strain isolated from an anaerobic reactor. Anaerobe. 16(1). 19–26. 12 indexed citations
15.
Rueda, Luis, Domingo Mery, & Josef Kittler. (2007). Progress in pattern recognition, image analysis and applications : 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 Viña del Mar-Valparaiso, Chile, November 13-16, 2007 : proceedings. Springer eBooks. 6 indexed citations
16.
Rueda, Luis, et al.. (2006). A Hill-Climbing Approach for Automatic Gridding of cDNA Microarray Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 3(1). 72–83. 33 indexed citations
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Rueda, Luis & Li Qin. (2005). An Unsupervised Learning Scheme for DNA Microarray Image Spot Detection. 3 indexed citations
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Oommen, B. John & Luis Rueda. (2005). A formal analysis of why heuristic functions work. Artificial Intelligence. 164(1-2). 1–22. 13 indexed citations
19.
Li, Qin, Luis Rueda, Adnan Hussein Ali, & Alioune Ngom. (2005). Spot Detection and Image Segmentation in DNA??Microarray Data. PubMed. 4(1). 1–11. 27 indexed citations
20.
Rueda, Luis. (2003). An efficient approach to compute the threshold for multi-dimensional linear classifiers. Pattern Recognition. 37(4). 811–826. 5 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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