Reinel Tabares-Soto

1.2k total citations
46 papers, 632 citations indexed

About

Reinel Tabares-Soto is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Reinel Tabares-Soto has authored 46 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Artificial Intelligence and 14 papers in Plant Science. Recurrent topics in Reinel Tabares-Soto's work include Genomics and Phylogenetic Studies (13 papers), Chromosomal and Genetic Variations (13 papers) and AI in cancer detection (7 papers). Reinel Tabares-Soto is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Chromosomal and Genetic Variations (13 papers) and AI in cancer detection (7 papers). Reinel Tabares-Soto collaborates with scholars based in Colombia, France and Chile. Reinel Tabares-Soto's co-authors include Simón Orozco-Arias, Gustavo Isaza, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortíz, Alejandro Mora-Rubio, Raúl Ramos-Pollán, Jesús Alejandro Alzate-Grisales, Romain Guyot, Gonzalo A. Ruz and María de la Iglesia-Vayá and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Reinel Tabares-Soto

40 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reinel Tabares-Soto Colombia 14 176 162 142 115 101 46 632
Salman Qadri Pakistan 17 198 1.1× 182 1.1× 70 0.5× 176 1.5× 155 1.5× 45 845
Simón Orozco-Arias Colombia 14 132 0.8× 103 0.6× 205 1.4× 85 0.7× 199 2.0× 39 588
Wilfrido Gómez‐Flores Mexico 15 479 2.7× 211 1.3× 47 0.3× 211 1.8× 58 0.6× 45 737
Liangliang Liu China 8 160 0.9× 175 1.1× 63 0.4× 117 1.0× 22 0.2× 21 481
Shyr-Shen Yu Taiwan 13 326 1.9× 280 1.7× 98 0.7× 140 1.2× 21 0.2× 79 715
Mobeen Ur Rehman South Korea 17 144 0.8× 297 1.8× 237 1.7× 123 1.1× 37 0.4× 42 793
Xu Lu China 12 93 0.5× 139 0.9× 67 0.5× 97 0.8× 20 0.2× 52 539
Najah Alsubaie Saudi Arabia 14 330 1.9× 161 1.0× 54 0.4× 242 2.1× 36 0.4× 35 654
Mana Saleh Al Reshan Saudi Arabia 16 226 1.3× 98 0.6× 26 0.2× 119 1.0× 55 0.5× 64 702
Ruiquan Ge China 12 123 0.7× 90 0.6× 163 1.1× 49 0.4× 22 0.2× 56 452

Countries citing papers authored by Reinel Tabares-Soto

Since Specialization
Citations

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

Fields of papers citing papers by Reinel Tabares-Soto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reinel Tabares-Soto. 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 Reinel Tabares-Soto. The network helps show where Reinel Tabares-Soto may publish in the future.

Co-authorship network of co-authors of Reinel Tabares-Soto

This figure shows the co-authorship network connecting the top 25 collaborators of Reinel Tabares-Soto. A scholar is included among the top collaborators of Reinel Tabares-Soto 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 Reinel Tabares-Soto. Reinel Tabares-Soto 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.
Tabares-Soto, Reinel, et al.. (2024). Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting. Expert Systems with Applications. 259. 125384–125384. 2 indexed citations
2.
Bravo-Ortíz, Mario Alejandro, et al.. (2024). CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis. Journal of Information Security and Applications. 81. 103695–103695. 9 indexed citations
3.
Bravo-Ortíz, Mario Alejandro, et al.. (2024). SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms. Computers in Biology and Medicine. 181. 109022–109022. 3 indexed citations
4.
Bravo-Ortíz, Mario Alejandro, et al.. (2024). A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images. Neural Computing and Applications. 36(35). 21985–22012. 3 indexed citations
5.
Orozco-Arias, Simón, et al.. (2023). High nucleotide similarity of three Copia lineage LTR retrotransposons among plant genomes. Genome. 66(3). 51–61. 4 indexed citations
6.
Mora-Rubio, Alejandro, et al.. (2023). Classification of Alzheimer’s disease stages from magnetic resonance images using deep learning. PeerJ Computer Science. 9. e1490–e1490. 20 indexed citations
7.
8.
Alzate-Grisales, Jesús Alejandro, Alejandro Mora-Rubio, Francisco García‐García, Reinel Tabares-Soto, & María de la Iglesia-Vayá. (2023). SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model. IEEE Access. 11. 118217–118228. 7 indexed citations
9.
Tabares-Soto, Reinel, et al.. (2023). Biases associated with database structure for COVID-19 detection in X-ray images. Scientific Reports. 13(1). 3477–3477. 11 indexed citations
10.
Bravo-Ortíz, Mario Alejandro, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, et al.. (2022). Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning. IEEE Access. 10. 42971–42982. 24 indexed citations
11.
Arteaga-Arteaga, Harold Brayan, et al.. (2022). Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Orozco-Arias, Simón, et al.. (2022). Composition and Diversity of LTR Retrotransposons in the Coffee Leaf Rust Genome (Hemileia vastatrix). Agronomy. 12(7). 1665–1665.
13.
Tabares-Soto, Reinel, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortíz, et al.. (2021). GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis. IEEE Access. 9. 14340–14350. 60 indexed citations
14.
Orozco-Arias, Simón, et al.. (2021). K -mer-based machine learning method to classify LTR-retrotransposons in plant genomes. PeerJ. 9. e11456–e11456. 13 indexed citations
15.
Alzate-Grisales, Jesús Alejandro, Simón Orozco-Arias, Harold Brayan Arteaga-Arteaga, et al.. (2021). COVID-19 detection in X-ray images using convolutional neural networks. SHILAP Revista de lepidopterología. 6. 100138–100138. 64 indexed citations
16.
Arteaga-Arteaga, Harold Brayan, et al.. (2021). Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos. Revista EIA. 18(35). 7 indexed citations
17.
Tabares-Soto, Reinel, et al.. (2020). A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. PeerJ Computer Science. 6. e270–e270. 70 indexed citations
18.
Orozco-Arias, Simón, Gustavo Isaza, Romain Guyot, & Reinel Tabares-Soto. (2019). A systematic review of the application of machine learning in the detection and classification of transposable elements. PeerJ. 7. e8311–e8311. 22 indexed citations
19.
Tabares-Soto, Reinel, Raúl Ramos-Pollán, & Gustavo Isaza. (2019). Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review. IEEE Access. 7. 68970–68990. 52 indexed citations
20.
Tabares-Soto, Reinel. (2016). Programación paralela sobre arquitecturas heterogéneas. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 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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