Rafael Guzmán-Cabrera

959 total citations
72 papers, 596 citations indexed

About

Rafael Guzmán-Cabrera is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Rafael Guzmán-Cabrera has authored 72 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 11 papers in Information Systems. Recurrent topics in Rafael Guzmán-Cabrera's work include Photonic and Optical Devices (7 papers), Natural Language Processing Techniques (6 papers) and Spam and Phishing Detection (5 papers). Rafael Guzmán-Cabrera is often cited by papers focused on Photonic and Optical Devices (7 papers), Natural Language Processing Techniques (6 papers) and Spam and Phishing Detection (5 papers). Rafael Guzmán-Cabrera collaborates with scholars based in Mexico, United States and Spain. Rafael Guzmán-Cabrera's co-authors include Paolo Rosso, Manuel Montes-y-Gómez, Teodoro Córdova–Fraga, J. R. Guzmán-Sepúlveda, J. Bernal‐Alvarado, J. J. Rosales, J. F. Gómez‐Aguilar, M. Torres‐Cisneros, A. Castillo-Guzmán and D. A. May-Arrioja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and Sensors.

In The Last Decade

Rafael Guzmán-Cabrera

55 papers receiving 564 citations

Peers

Rafael Guzmán-Cabrera
Sahar Ahmed Idris Saudi Arabia
Yujie Fan China
Saif Al‐Kuwari Qatar
Xiongtao Zhang China
Cong Guo China
Kulvinder Singh India
Haiyang Huang China
Mohamed E. Nasr Egypt
Sahar Ahmed Idris Saudi Arabia
Rafael Guzmán-Cabrera
Citations per year, relative to Rafael Guzmán-Cabrera Rafael Guzmán-Cabrera (= 1×) peers Sahar Ahmed Idris

Countries citing papers authored by Rafael Guzmán-Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Guzmán-Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Guzmán-Cabrera. 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 Rafael Guzmán-Cabrera. The network helps show where Rafael Guzmán-Cabrera may publish in the future.

Co-authorship network of co-authors of Rafael Guzmán-Cabrera

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Guzmán-Cabrera. A scholar is included among the top collaborators of Rafael Guzmán-Cabrera 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 Rafael Guzmán-Cabrera. Rafael Guzmán-Cabrera 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.
2.
Guzmán-Cabrera, Rafael, et al.. (2023). BRAIN MRI IMAGES FOR BRAIN TUMOR DETECTION USING DEEP LEARNING. 17(2). 83–97. 2 indexed citations
3.
Vargas-Rodríguez, Everardo, et al.. (2023). MACHINE LEARNING AND THE REUTERS COLLECTION-21578 IN DOCUMENT CLASSIFICATION. REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA. 2(40).
4.
Guzmán-Cabrera, Rafael, et al.. (2022). Automatic identification of sentiment in unstructured text. 22–28.
5.
Ruiz-Pinales, José, et al.. (2022). Use of image processing for the detection of Parkinson's disease. 27–32.
6.
Ruiz-Pinales, José, et al.. (2022). Automatic identification of misogynistic sentiments on social networks. 10–18. 2 indexed citations
7.
Guzmán-Sepúlveda, J. R., Rafael Guzmán-Cabrera, & A. Castillo-Guzmán. (2021). Optical Sensing Using Fiber-Optic Multimode Interference Devices: A Review of Nonconventional Sensing Schemes. Sensors. 21(5). 1862–1862. 43 indexed citations
8.
Guzmán-Cabrera, Rafael, et al.. (2020). Tuberculosis: Diagnóstico mediante procesamiento de imágenes. Computación y Sistemas. 24(2). 875–882.
9.
Saha, Baidya Nath, et al.. (2020). Digital Diversions for Educational Recess: An Evaluation of Mood Reinforcements with Interactive Multimedia. Research in computing science. 119–134. 1 indexed citations
10.
Guzmán-Cabrera, Rafael, et al.. (2020). Cardiac output at skin level: PPC vs. Fick method. 6(5). 117–121. 1 indexed citations
11.
Guzmán-Cabrera, Rafael, et al.. (2019). Classification of opinions in cross domains involving emotive values. Journal of Intelligent & Fuzzy Systems. 36(5). 4877–4887. 2 indexed citations
12.
Campos, Vicente, et al.. (2019). Evaluation of micronuclei in oral mucosa of individuals exposed to ionizing radiation: a pilot study from Celaya, México. SHILAP Revista de lepidopterología. 8(1). 331–331. 1 indexed citations
13.
Córdova–Fraga, Teodoro, et al.. (2018). Qualitative evaluation of ferritin in serum samples by Raman spectroscopy and principal component analysis. Lasers in Medical Science. 34(1). 35–40. 9 indexed citations
14.
Markov, Ilia, et al.. (2016). Detección automática de similitud de los programas en el lenguaje de programación Karel basado en técnicas de procesamiento de lenguaje natural. Computación y Sistemas. 20(2). 279–288. 3 indexed citations
15.
Guzmán-Cabrera, Rafael, et al.. (2016). Optical Properties of Human Skin around Biological Active Points. International Journal of Computer and Electrical Engineering. 8(1). 57–65. 1 indexed citations
16.
Guzmán-Cabrera, Rafael, et al.. (2015). System of Measurement and Analysis of Partial Discharges in Underground Power Cables. International Journal of Computer and Electrical Engineering. 7(6). 399–407. 2 indexed citations
17.
Guzmán-Cabrera, Rafael, et al.. (2013). Semantic-based Features for Author Profiling Identification: First insights Notebook for PAN at CLEF 2013.. CLEF (Working Notes). 2 indexed citations
18.
Gómez‐Aguilar, J. F., J. J. Rosales, J. Bernal‐Alvarado, Teodoro Córdova–Fraga, & Rafael Guzmán-Cabrera. (2012). Fractional mechanical oscillators. Revista Mexicana de Física. 58(4). 348–352. 124 indexed citations
19.
Guzmán-Cabrera, Rafael, et al.. (2012). On the Use of PU Learning for Quality Flaw Prediction in Wikipedia.. RiuNet (Politechnical University of Valencia). 1178. 7 indexed citations
20.

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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