Alejandro Cervantes

1.5k total citations
39 papers, 919 citations indexed

About

Alejandro Cervantes is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Alejandro Cervantes has authored 39 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Alejandro Cervantes's work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Scheduling and Timetabling Solutions (4 papers). Alejandro Cervantes is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Scheduling and Timetabling Solutions (4 papers). Alejandro Cervantes collaborates with scholars based in Spain, United States and Ireland. Alejandro Cervantes's co-authors include David Quintana, Pedro Isasi, Andrés L. Suárez‐Cetrulo, Inés M. Galván, Yago Sáez, S. Alonso Monsalve, Randall V. Martin, Michael Jerrett, Lok N. Lamsal and Aaron van Donkelaar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Environmental Health Perspectives.

In The Last Decade

Alejandro Cervantes

36 papers receiving 884 citations

Peers

Alejandro Cervantes

HTM

MSOR

Fernando Jiménez Spain

Wei Lu China

Xianneng Li China

Guangfei Yang China

Sameer Alam Singapore

Rodrigo Salas Chile

Mahmod Othman Malaysia

Bonnie K. Ray United States

Mehmet Şahin Türkiye

Yongchang Wei China

Fernando Jiménez Spain

Alejandro Cervantes

462 ×2.0

57 ×0.3

HTM

124 ×0.7

MSOR

101 ×1.0

71 ×0.7

Citations per year, relative to Alejandro Cervantes Alejandro Cervantes (= 1×) peers Fernando Jiménez

Countries citing papers authored by Alejandro Cervantes

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Cervantes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Cervantes

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Cervantes. A scholar is included among the top collaborators of Alejandro Cervantes 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 Alejandro Cervantes. Alejandro Cervantes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cervantes, Alejandro, et al.. (2024). Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks. Engineering Applications of Artificial Intelligence. 133. 108014–108014. 2 indexed citations

Soto, Álvaro Moreno, Alejandro Cervantes, & Manuel Soler. (2024). Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations. SHILAP Revista de lepidopterología. 4. 99–99. 4 indexed citations

Casetti‐Dinescu, Dana I., et al.. (2024). Star Image Centering with Deep Learning. II. HST/WFPC2 Full Field of View. Publications of the Astronomical Society of the Pacific. 136(5). 54501–54501. 2 indexed citations

Baena-Gallé, Roberto, et al.. (2024). Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images. 13–20. 1 indexed citations

Suárez‐Cetrulo, Andrés L., David Quintana, & Alejandro Cervantes. (2023). Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review.. International Journal of Interactive Multimedia and Artificial Intelligence. 9(1). 137–148. 2 indexed citations

Suárez‐Cetrulo, Andrés L., David Quintana, & Alejandro Cervantes. (2022). A survey on machine learning for recurring concept drifting data streams. Expert Systems with Applications. 213. 118934–118934. 60 indexed citations

Cervantes, Alejandro, David Quintana, Yago Sáez, & Pedro Isasi. (2022). Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(6). 168–176.

Soler, Manuel, et al.. (2021). Convection indicator for pre-tactical air traffic flow management using neural networks. SHILAP Revista de lepidopterología. 5. 100053–100053. 8 indexed citations

Monsalve, S. Alonso, Andrés L. Suárez‐Cetrulo, Alejandro Cervantes, & David Quintana. (2020). Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Systems with Applications. 149. 113250–113250. 136 indexed citations

10.

Cervantes, Alejandro, et al.. (2019). IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. Expert Systems with Applications. 142. 112994–112994. 29 indexed citations

11.

Baldominos, Alejandro, et al.. (2019). A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors. 19(3). 521–521. 48 indexed citations

12.

Pérez‐Rojas, Andrés E., et al.. (2019). "Alguien abrió la puerta:” The phenomenology of bilingual Latinx clients’ use of Spanish and English in psychotherapy.. Psychotherapy. 56(2). 241–253. 10 indexed citations

13.

Suárez‐Cetrulo, Andrés L., Alejandro Cervantes, & David Quintana. (2019). Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy. 21(1). 25–25. 16 indexed citations

14.

Cervantes, Alejandro, et al.. (2019). Nosotros Importamos (We Matter): The Use of Testimonios with Latino Male Adolescents in Group Counseling. Journal of Creativity in Mental Health. 14(2). 181–192. 4 indexed citations

15.

Cervantes, Alejandro, et al.. (2018). System steganalysis with automatic fingerprint extraction. PLoS ONE. 13(4). e0195737–e0195737. 2 indexed citations

16.

Quintana, David, Alejandro Cervantes, Yago Sáez, & Pedro Isasi. (2018). Internet Use and Psychological Well-Being at Advanced Age: Evidence from the English Longitudinal Study of Aging. International Journal of Environmental Research and Public Health. 15(3). 480–480. 52 indexed citations

17.

Suárez‐Cetrulo, Andrés L. & Alejandro Cervantes. (2017). An online classification algorithm for large scale data streams: iGNGSVM. Neurocomputing. 262. 67–76. 4 indexed citations

18.

Hystad, Perry, Eleanor Setton, Alejandro Cervantes, et al.. (2011). Creating National Air Pollution Models for Population Exposure Assessment in Canada. Environmental Health Perspectives. 119(8). 1123–1129. 217 indexed citations

19.

Cervantes, Alejandro, Inés M. Galván, & Pedro Isasi. (2009). AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(5). 1082–1091. 82 indexed citations

20.

Gual, Carlos García, Gregorio Pérez‐Palacios, Aleida Pérez, et al.. (1973). Metabolic fate of a long-acting injectable estrogen-progestogen contraceptive 1,2. Contraception. 7(4). 271–287. 13 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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