Flavio Prieto

2.3k total citations
139 papers, 1.5k citations indexed

About

Flavio Prieto is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Flavio Prieto has authored 139 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 22 papers in Industrial and Manufacturing Engineering and 21 papers in Mechanical Engineering. Recurrent topics in Flavio Prieto's work include Industrial Vision Systems and Defect Detection (20 papers), 3D Surveying and Cultural Heritage (16 papers) and Spectroscopy and Chemometric Analyses (15 papers). Flavio Prieto is often cited by papers focused on Industrial Vision Systems and Defect Detection (20 papers), 3D Surveying and Cultural Heritage (16 papers) and Spectroscopy and Chemometric Analyses (15 papers). Flavio Prieto collaborates with scholars based in Colombia, Canada and France. Flavio Prieto's co-authors include Pierre Boulanger, Tanneguy Redarce, Richard Lepage, Loïc Brancheriau, Philippe Lasaygues, Iván F. Mondragón, Iván Lizarazo, Augusto Salazar, Édgar Espejo Mora and Carlos Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

In The Last Decade

Flavio Prieto

128 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flavio Prieto Colombia 20 338 322 311 243 182 139 1.5k
Lyndon Smith United Kingdom 26 377 1.1× 603 1.9× 256 0.8× 218 0.9× 74 0.4× 115 2.1k
Lufeng Luo China 18 236 0.7× 269 0.8× 1.1k 3.5× 234 1.0× 261 1.4× 63 1.6k
Davut Hanbay Türkiye 25 106 0.3× 414 1.3× 538 1.7× 132 0.5× 255 1.4× 104 2.1k
Chao Qu United States 17 180 0.5× 340 1.1× 407 1.3× 68 0.3× 142 0.8× 39 1.3k
Liang Gong China 20 255 0.8× 200 0.6× 1.0k 3.2× 131 0.5× 296 1.6× 96 2.0k
Pål Johan From Norway 22 400 1.2× 283 0.9× 999 3.2× 112 0.5× 106 0.6× 88 1.8k
Guodong Yang China 16 258 0.8× 482 1.5× 776 2.5× 209 0.9× 239 1.3× 92 1.8k
Ying Cai China 10 125 0.4× 698 2.2× 231 0.7× 229 0.9× 78 0.4× 37 1.7k
Arunabha M. Roy United States 18 190 0.6× 313 1.0× 178 0.6× 118 0.5× 50 0.3× 32 1.6k

Countries citing papers authored by Flavio Prieto

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavio Prieto

This figure shows the co-authorship network connecting the top 25 collaborators of Flavio Prieto. A scholar is included among the top collaborators of Flavio Prieto 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 Flavio Prieto. Flavio Prieto 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.
Prieto, Flavio, Catalina Beatriz García García, & Román Salmerón Gómez. (2024). Modelling global fossil CO2 emissions with a lognormal distribution. Socio-Economic Planning Sciences. 97. 102104–102104. 1 indexed citations
2.
Botero-Valencia, Juan, et al.. (2024). A Portable Tool for Spectral Analysis of Plant Leaves That Incorporates a Multichannel Detector to Enable Faster Data Capture. Instruments. 8(1). 24–24. 4 indexed citations
3.
Prieto, Flavio, et al.. (2018). HACIA EL AGARRE DE OBJETOS UTILIZANDO APRENDIZAJE ROBÓTICO POR IMITACIÓN Y DATOS DE FUERZA. Revista EIA. 12(23). 71–82. 1 indexed citations
4.
Prieto, Flavio, et al.. (2016). 3D Semantic Modeling of Indoor Environments based on Point Clouds and Contextual Relationships. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Prieto, Flavio, et al.. (2016). Fractographic classification in metallic materials by using 3D processing and computer vision techniques. SHILAP Revista de lepidopterología. 25(43). 83–96. 6 indexed citations
6.
Prieto, Flavio, et al.. (2016). Determinación del estado de maduración de frutos de feijoa mediante un sistema de visión por computador utilizando información de color. SHILAP Revista de lepidopterología. 7(1). 111–111. 6 indexed citations
7.
Prieto, Flavio, et al.. (2015). Standing tree decay detection by using acoustic tomography images. Agritrop (Cirad). 1 indexed citations
8.
Prieto, Flavio, et al.. (2015). Fractographic classification in metallic materials by using computer vision. Engineering Failure Analysis. 59. 237–252. 36 indexed citations
9.
Chevrel, Philippe, et al.. (2013). Academic evaluation protocol for monitoring modalities of use at an automatic control laboratory: local vs. remote. International journal of engineering education. 29(6). 1551–1563.
10.
Prieto, Flavio, et al.. (2012). Reduction of speckle noise by using an adaptive window. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(20). 179–190. 2 indexed citations
11.
Cifuentes, Jenny, et al.. (2011). SIMULACIÓN DE UN MONITOR NEONATAL PARA ENTRENAMIENTO MÉDICO. EIA University Library (EIA University). 9–27. 1 indexed citations
12.
Serna, Andrés, et al.. (2011). Sistema audiovisual para reconocimiento de comandos. Ingeniare. Revista chilena de ingeniería. 19(2). 278–291. 2 indexed citations
13.
González, Alejandro & Flavio Prieto. (2010). Extracción de puntos característicos del rostro para medidas antropométricas. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9(17). 139–150. 2 indexed citations
14.
Prieto, Flavio, et al.. (2009). Segmentación de la región de la boca en imàgenes faciales: Revisión bibliográfica. SHILAP Revista de lepidopterología. 103–116.
15.
Salazar, Augusto, et al.. (2007). Sistema de Adquisición de imágenes de rango con base en estéreo-activo. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Restrepo-Parra, E., et al.. (2007). Características morfológicas de diferentes recubrimientos calculados utilizando técnicas de procesamiento de imágenes. Revista Mexicana de Física. 53(7). 198–202. 1 indexed citations
17.
Salazar, Augusto & Flavio Prieto. (2006). Extracción y clasificación de posturas labiales en niños entre 5 y 10 años de la ciudad de Manizales. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Salazar, Augusto, et al.. (2006). Feature Extraction & Lips Posture Detection Oriented to the Treatment of CLP Children. PubMed. 24. 5747–5750. 4 indexed citations
19.
Prieto, Flavio, Tanneguy Redarce, Pierre Boulanger, & Richard Lepage. (2000). Accuracy improvement of contactless sensor for dimensional inspection of industrial parts. 15. 345–366. 3 indexed citations
20.
Prieto, Flavio, Tanneguy Redarce, Richard Lepage, & Pierre Boulanger. (1998). Visual system for fast and automated inspection of 3D parts. 13. 211–227. 17 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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