R. Alejo

825 total citations
30 papers, 327 citations indexed

About

R. Alejo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, R. Alejo has authored 30 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in R. Alejo's work include Imbalanced Data Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Machine Learning and Data Classification (3 papers). R. Alejo is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Machine Learning and Data Classification (3 papers). R. Alejo collaborates with scholars based in Mexico, France and Spain. R. Alejo's co-authors include J. H. Pacheco‐Sánchez, Vicente García, E. E. Granda-Gutiérrez, Eréndira Rendón, Rosa María Valdovinos Rosas, Fernando Álvarez, Sonia Martínez‐Gallegos, Javier Illescas, J. Salvador Sánchez and R. Barandela and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Fuel.

In The Last Decade

R. Alejo

26 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Alejo Mexico 10 165 72 54 27 25 30 327
P. Balamurugan India 8 71 0.4× 28 0.4× 77 1.4× 11 0.4× 46 1.8× 70 296
Pooja Singh India 8 45 0.3× 69 1.0× 39 0.7× 10 0.4× 26 1.0× 43 220
Zhongheng Li China 9 95 0.6× 111 1.5× 8 0.1× 8 0.3× 87 3.5× 18 297
Nitin Kumar Chauhan India 5 109 0.7× 23 0.3× 17 0.3× 24 0.9× 37 1.5× 9 273
Sanjoy Kumar Saha India 9 92 0.6× 17 0.2× 15 0.3× 19 0.7× 139 5.6× 28 304
K. Mahalakshmi India 10 41 0.2× 126 1.8× 116 2.1× 31 1.1× 32 1.3× 55 351
Aixiang He China 12 67 0.4× 370 5.1× 61 1.1× 6 0.2× 36 1.4× 37 644
S. Kalaivani India 12 44 0.3× 98 1.4× 65 1.2× 8 0.3× 57 2.3× 64 390
Md. Masum Billah Bangladesh 10 124 0.8× 48 0.7× 23 0.4× 16 0.6× 35 1.4× 24 351
Kuntal Kumar Pal United States 8 134 0.8× 18 0.3× 31 0.6× 7 0.3× 67 2.7× 12 308

Countries citing papers authored by R. Alejo

Since Specialization
Citations

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

Fields of papers citing papers by R. Alejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Alejo

This figure shows the co-authorship network connecting the top 25 collaborators of R. Alejo. A scholar is included among the top collaborators of R. Alejo 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 R. Alejo. R. Alejo 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.
Granda-Gutiérrez, E. E., et al.. (2025). Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers. Modelling—International Open Access Journal of Modelling in Engineering Science. 6(4). 115–115. 1 indexed citations
2.
Beltrán, Sagrario, et al.. (2025). ANN-Based Prediction of Tartrazine Adsorption on Chitosan–Polyvinyl Alcohol Hydrogel Beads: A Comparison with Kinetic Models. Modelling—International Open Access Journal of Modelling in Engineering Science. 6(4). 149–149.
3.
Alejo, R., et al.. (2025). FTIR-Based Microplastic Classification: A Comprehensive Study on Normalization and ML Techniques. Recycling. 10(2). 46–46. 5 indexed citations
4.
5.
García, Vicente, et al.. (2024). Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping. Applied Sciences. 14(13). 5845–5845. 3 indexed citations
6.
Alejo, R., et al.. (2024). FTIR-Plastics: A Fourier Transform Infrared Spectroscopy dataset for the six most prevalent industrial plastic polymers. Data in Brief. 55. 110612–110612. 11 indexed citations
7.
Rendón, Eréndira, et al.. (2023). Density-Based Clustering to Deal with Highly Imbalanced Data in Multi-Class Problems. Mathematics. 11(18). 4008–4008. 4 indexed citations
8.
Alejo, R., et al.. (2023). A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico. Data in Brief. 51. 109733–109733. 1 indexed citations
9.
Alejo, R., et al.. (2022). Pedestrian Localization in a Video Sequence Using Motion Detection and Active Shape Models. Applied Sciences. 12(11). 5371–5371. 3 indexed citations
10.
Alejo, R., et al.. (2021). Deep Neural Network for Gender-Based Violence Detection on Twitter Messages. Mathematics. 9(8). 807–807. 18 indexed citations
11.
Alejo, R., et al.. (2020). Procesamiento de bases de datos escolares por medio de redes neuronales artificiales. SHILAP Revista de lepidopterología. 27(3). 3 indexed citations
12.
Pacheco‐Sánchez, J. H., et al.. (2020). DFT study of hydrogen storage on the metallic decoration of boron substitution on zeolite templated carbon vacancy. International Journal of Hydrogen Energy. 45(38). 19505–19515. 37 indexed citations
13.
Alejo, R., et al.. (2020). Comparative study of methods to obtain the number of hidden neurons of an auto-encoder in a high-dimensionality context. IEEE Latin America Transactions. 18(12). 2196–2203. 3 indexed citations
14.
Pacheco‐Sánchez, J. H., et al.. (2019). Theoretical studies in the stability of vacancies in zeolite templated carbon for hydrogen storage. International Journal of Hydrogen Energy. 44(13). 6437–6447. 14 indexed citations
15.
Alejo, R., et al.. (2016). A Selective Dynamic Sampling Back-Propagation Approach for Handling the Two-Class Imbalance Problem. Applied Sciences. 6(7). 200–200. 10 indexed citations
16.
Rosas, Rosa María Valdovinos, et al.. (2015). Análisis de deserción escolar con minería de datos. Research in Computing Science. 93(1). 71–82. 1 indexed citations
17.
Alejo, R., et al.. (2015). Loyalty index of students, a view from the Tesjo stage with data mining. Dialnet (Universidad de la Rioja). 2(2). 133–139. 1 indexed citations
18.
Rosas, Rosa María Valdovinos, et al.. (2013). Applicability of Cluster Validation Indexes for Large Data Sets. Institutional Repository (Universidad Autónoma del Estado de México). 187–193. 2 indexed citations
19.
Alejo, R., et al.. (2009). Redes Neuronales Artificiales y Distribuciones no Balanceadas. 1(2009). 13–32. 1 indexed citations
20.
Sánchez, J. Salvador, R. Barandela, R. Alejo, & Ana I. Marqués. (2002). Performance evaluation of prototype selection algorithms for nearest neighbor classification. 14. 44–50. 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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