Luis Barba-Guamán

604 total citations
28 papers, 323 citations indexed

About

Luis Barba-Guamán is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Luis Barba-Guamán has authored 28 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Luis Barba-Guamán's work include Vehicle License Plate Recognition (4 papers), Banking Sector Performance and Management (4 papers) and Educational Games and Gamification (3 papers). Luis Barba-Guamán is often cited by papers focused on Vehicle License Plate Recognition (4 papers), Banking Sector Performance and Management (4 papers) and Educational Games and Gamification (3 papers). Luis Barba-Guamán collaborates with scholars based in Ecuador, Spain and Puerto Rico. Luis Barba-Guamán's co-authors include Priscila Valdiviezo-Díaz, José Eugenio Naranjo, Jorge Cordero, Pablo Alejandro Quezada–Sarmiento, José Aguilar, Manuel Sánchez, Liliana Enciso, Pablo Torres-Carrión, Francklin Rivas and Carina Soledad González González and has published in prestigious journals such as Journal of Medical Internet Research, Electronics and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Luis Barba-Guamán

25 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Barba-Guamán Ecuador 9 77 70 61 50 47 28 323
Anik Nur Handayani Indonesia 11 122 1.6× 63 0.9× 107 1.8× 23 0.5× 46 1.0× 127 415
Inmaculada Rodríguez Spain 12 51 0.7× 82 1.2× 68 1.1× 60 1.2× 28 0.6× 61 429
Kamal Bijlani India 12 75 1.0× 121 1.7× 109 1.8× 119 2.4× 74 1.6× 50 442
Andrew Kwok-Fai Lui Hong Kong 12 78 1.0× 63 0.9× 162 2.7× 76 1.5× 45 1.0× 43 406
Iván Sanchéz Milara Finland 11 96 1.2× 58 0.8× 19 0.3× 65 1.3× 38 0.8× 38 331
G. Ayorkor Mills-Tettey United States 8 58 0.8× 38 0.5× 47 0.8× 27 0.5× 35 0.7× 18 220
Theodor Panagiotakopoulos Greece 12 57 0.7× 29 0.4× 63 1.0× 65 1.3× 28 0.6× 52 376
Seppo Törmä Finland 10 46 0.6× 35 0.5× 105 1.7× 42 0.8× 34 0.7× 31 345
Leila Jamel Saudi Arabia 12 47 0.6× 38 0.5× 67 1.1× 42 0.8× 45 1.0× 30 342
Kai-Yi Chin Taiwan 10 175 2.3× 118 1.7× 69 1.1× 104 2.1× 96 2.0× 35 452

Countries citing papers authored by Luis Barba-Guamán

Since Specialization
Citations

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

Fields of papers citing papers by Luis Barba-Guamán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Barba-Guamán. 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 Luis Barba-Guamán. The network helps show where Luis Barba-Guamán may publish in the future.

Co-authorship network of co-authors of Luis Barba-Guamán

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Barba-Guamán. A scholar is included among the top collaborators of Luis Barba-Guamán 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 Luis Barba-Guamán. Luis Barba-Guamán 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
2.
Barba-Guamán, Luis, et al.. (2023). Computer Vision Techniques for Estimation of Intensity, Speed and Density in Vehicular Flow. 1–8. 1 indexed citations
3.
Barba-Guamán, Luis, et al.. (2023). Prototype for Analyzing Instructor Profiles in Online Courses: A Fuzzy Logic-Based Approach. International Journal of Emerging Technologies in Learning (iJET). 18(21). 66–78. 1 indexed citations
4.
Valdiviezo-Díaz, Priscila, et al.. (2022). Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation. Journal of Medical Internet Research. 24(7). e37233–e37233. 27 indexed citations
5.
Barba-Guamán, Luis & Priscila Valdiviezo-Díaz. (2022). The Attention of Students in Online Education. International Journal of Emerging Technologies in Learning (iJET). 17(22). 144–155. 3 indexed citations
6.
Valdiviezo-Díaz, Priscila, et al.. (2022). Congestive heart failure prediction based on feature selection and machine learning algorithms. 2022 17th Iberian Conference on Information Systems and Technologies (CISTI). 1–6. 2 indexed citations
7.
Cordero, Jorge, et al.. (2022). Use of chatbots for customer service in MSMEs. Applied Computing and Informatics. 22(1-2). 185–197. 17 indexed citations
8.
Barba-Guamán, Luis, et al.. (2021). Detection of weapons using Efficient Net and Yolo v3. 1–6. 3 indexed citations
9.
Barba-Guamán, Luis, et al.. (2020). Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU. Electronics. 9(4). 589–589. 63 indexed citations
10.
Barba-Guamán, Luis, et al.. (2019). MateBrun. 1–4. 2 indexed citations
11.
Torres-Carrión, Pablo, et al.. (2019). Experiencia Afectiva Usuario en ambientes con Inteligencia Artificial, Sensores Biométricos y/o Recursos Digitales Accesibles: Una Revisión Sistemática de Literatura. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação. 35–53. 5 indexed citations
12.
14.
Barba-Guamán, Luis, et al.. (2017). Intelligent tutoring Module for a 3Dgame-based science e-learning platform. INTELIGENCIA ARTIFICIAL. 20(60). 1–19. 1 indexed citations
15.
Quezada–Sarmiento, Pablo Alejandro, et al.. (2017). Referent framework to government of IT using standards: COBIT 5 and ISO 38500. 1–6. 5 indexed citations
16.
Quezada–Sarmiento, Pablo Alejandro, et al.. (2017). Use of SQALE and tools for analysis and identification of code technical debt through static analysis. 1–7. 1 indexed citations
17.
Aguilar, José, et al.. (2017). Learning analytics tasks as services in smart classrooms. Universal Access in the Information Society. 17(4). 693–709. 52 indexed citations
18.
Barba-Guamán, Luis, et al.. (2017). Development of software prototypes through model game jam and basic vision artificial techniques. 1–6. 4 indexed citations
19.
Quezada–Sarmiento, Pablo Alejandro, et al.. (2016). EMG signal patterns recognition based on feedforward Artificial Neural Network applied to robotic prosthesis myoelectric control. 868–875. 15 indexed citations
20.
Valdiviezo-Díaz, Priscila, et al.. (2015). Integration of Virtual Labs into Science E-learning. Procedia Computer Science. 75. 95–102. 67 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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