Jorge I. Galván-Tejada

1.4k total citations
78 papers, 937 citations indexed

About

Jorge I. Galván-Tejada is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jorge I. Galván-Tejada has authored 78 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Jorge I. Galván-Tejada's work include Artificial Intelligence in Healthcare (9 papers), Speech and Audio Processing (6 papers) and Mental Health Research Topics (6 papers). Jorge I. Galván-Tejada is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Speech and Audio Processing (6 papers) and Mental Health Research Topics (6 papers). Jorge I. Galván-Tejada collaborates with scholars based in Mexico, France and Peru. Jorge I. Galván-Tejada's co-authors include Carlos E. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Huizilopoztli Luna-García, Laura A. Zanella-Calzada, Rafael Magallanes‐Quintanar, Carlos Guerrero-Méndez, Carlos Alberto Olvera-Olvera, Antonio Martínez‐Torteya and Juan Pablo Garćıa-Vázquez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Jorge I. Galván-Tejada

74 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge I. Galván-Tejada Mexico	14	170	158	121	109	90	78	937
José M. Celaya-Padilla Mexico	15	168 1.0×	151 1.0×	110 0.9×	110 1.0×	66 0.7×	84	927
Hamurabi Gamboa-Rosales Mexico	17	240 1.4×	263 1.7×	124 1.0×	118 1.1×	76 0.8×	112	1.2k
Carlos E. Galván-Tejada Mexico	18	225 1.3×	294 1.9×	130 1.1×	115 1.1×	474 5.3×	98	1.5k
Laura A. Zanella-Calzada Mexico	12	172 1.0×	139 0.9×	85 0.7×	112 1.0×	42 0.5×	24	646
Huizilopoztli Luna-García Mexico	12	110 0.6×	79 0.5×	72 0.6×	108 1.0×	46 0.5×	64	592
Musa Hakan Asyalı Türkiye	19	126 0.7×	102 0.6×	86 0.7×	50 0.5×	50 0.6×	38	1.3k
Sarfaraz Masood India	14	182 1.1×	254 1.6×	78 0.6×	33 0.3×	49 0.5×	52	993
Che‐Wei Lin Taiwan	16	76 0.4×	133 0.8×	86 0.7×	25 0.2×	71 0.8×	58	867
Min‐Wei Huang Taiwan	19	337 2.0×	97 0.6×	38 0.3×	23 0.2×	55 0.6×	52	1.2k
Olivier Janssens Belgium	13	193 1.1×	116 0.7×	65 0.5×	11 0.1×	173 1.9×	28	1.8k

Countries citing papers authored by Jorge I. Galván-Tejada

Since Specialization

Citations

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

Fields of papers citing papers by Jorge I. Galván-Tejada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge I. Galván-Tejada. 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 Jorge I. Galván-Tejada. The network helps show where Jorge I. Galván-Tejada may publish in the future.

Co-authorship network of co-authors of Jorge I. Galván-Tejada

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge I. Galván-Tejada. A scholar is included among the top collaborators of Jorge I. Galván-Tejada 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 Jorge I. Galván-Tejada. Jorge I. Galván-Tejada 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

Gamboa-Rosales, Hamurabi, et al.. (2025). Benchmarking YOLOv8 to YOLOv11 Architectures for Real-Time Traffic Sign Recognition in Embedded 1:10 Scale Autonomous Vehicles. Technologies. 13(11). 531–531.

Celaya-Padilla, José M., Huizilopoztli Luna-García, Carlos E. Galván-Tejada, et al.. (2023). Emotional State Detection Using Electroencephalogram Signals: A Genetic Algorithm Approach. Applied Sciences. 13(11). 6394–6394. 13 indexed citations

Galván-Tejada, Carlos E., Rafael Magallanes‐Quintanar, Miguel Cruz, et al.. (2023). Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation. SHILAP Revista de lepidopterología. 11(4). 134–134. 2 indexed citations

Luna-García, Huizilopoztli, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, et al.. (2023). Detection of Helmet Use in Motorcycle Drivers Using Convolutional Neural Network. Applied Sciences. 13(10). 5882–5882.

Luna-García, Huizilopoztli, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, et al.. (2022). Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach. Diagnostics. 12(11). 2803–2803. 6 indexed citations

Galván-Tejada, Carlos E., et al.. (2022). Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome. Healthcare. 10(7). 1303–1303. 5 indexed citations

Vargas, José Ismael De la Rosa, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, et al.. (2022). Breast Cancer Detection Using Automated Segmentation and Genetic Algorithms. Diagnostics. 12(12). 3099–3099. 3 indexed citations

Galván-Tejada, Carlos E., et al.. (2022). Classification of Depressive and Schizophrenic Episodes Using Night-Time Motor Activity Signal. Healthcare. 10(7). 1256–1256. 10 indexed citations

Galván-Tejada, Carlos E., Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, et al.. (2022). Two-Dimensional Convolutional Neural Network for Depression Episodes Detection in Real Time Using Motor Activity Time Series of Depresjon Dataset. Bioengineering. 9(9). 458–458. 13 indexed citations

10.

Galván-Tejada, Jorge I., Carlos E. Galván-Tejada, José M. Celaya-Padilla, et al.. (2021). Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods. Healthcare. 9(3). 317–317. 9 indexed citations

11.

Galván-Tejada, Carlos E., Laura A. Zanella-Calzada, José M. Celaya-Padilla, et al.. (2020). Persistence of COVID-19 Symptoms after Recovery in Mexican Population. International Journal of Environmental Research and Public Health. 17(24). 9367–9367. 51 indexed citations

12.

Galván-Tejada, Carlos E., Laura A. Zanella-Calzada, Huizilopoztli Luna-García, et al.. (2020). Demographic and Comorbidities Data Description of Population in Mexico with SARS-CoV-2 Infected Patients(COVID19): An Online Tool Analysis. International Journal of Environmental Research and Public Health. 17(14). 5173–5173. 4 indexed citations

13.

Zanella-Calzada, Laura A., Carlos E. Galván-Tejada, Rafael Magallanes‐Quintanar, et al.. (2019). Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients. Diagnostics. 9(1). 8–8. 37 indexed citations

14.

Zanella-Calzada, Laura A., et al.. (2019). Evaluation of Five Classifiers for Depression Episodes Detection. Research in Computing Science. 148(10). 129–138. 9 indexed citations

15.

Zanella-Calzada, Laura A., et al.. (2018). A Case–Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013–2014. International Journal of Environmental Research and Public Health. 15(5). 957–957. 4 indexed citations

16.

Galván-Tejada, Carlos E., Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, et al.. (2017). Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis. Diagnostics. 7(1). 9–9. 9 indexed citations

17.

Galván-Tejada, Carlos E., Jorge I. Galván-Tejada, José M. Celaya-Padilla, et al.. (2016). An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks. Mobile Information Systems. 2016. 1–10. 19 indexed citations

18.

López‐Hernández, Yamilé, Idalia Garza‐Veloz, Iván Delgado‐Enciso, et al.. (2016). Nested case–control study reveals increased levels of urinary proteins from human kidney toxicity panels in women predicted to develop preeclampsia. International Urology and Nephrology. 48(12). 2051–2059. 7 indexed citations

19.

Galván-Tejada, Jorge I., Víctor Treviño, Saara Tötterman, & José G. Tamez‐Peña. (2014). Osteoarthritis pain prediction using X-ray features: data from OAI. Osteoarthritis and Cartilage. 22. S275–S276. 2 indexed citations

20.

Galván-Tejada, Jorge I., et al.. (2012). Digital filter implementation over FPGA platform with LINUX OS. Procedia Engineering. 35. 223–229. 2 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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