Deisy Chaves

451 total citations · 1 hit paper
19 papers, 326 citations indexed

About

Deisy Chaves is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Deisy Chaves has authored 19 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Mechanical Engineering and 4 papers in Analytical Chemistry. Recurrent topics in Deisy Chaves's work include Mineral Processing and Grinding (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Biometric Identification and Security (2 papers). Deisy Chaves is often cited by papers focused on Mineral Processing and Grinding (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Biometric Identification and Security (2 papers). Deisy Chaves collaborates with scholars based in Colombia, Spain and Mexico. Deisy Chaves's co-authors include Enrique Alegre, Eduardo Fidalgo, Francisco Jáñez-Martino, George Azzopardi, Rocío Aláiz-Rodríguez, María Trujillo, Laura Fernández-Robles, José Bernal, Roberto Álvarez and Juan Barraza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Powder Technology.

In The Last Decade

Deisy Chaves

17 papers receiving 315 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications

2020 241 citations Deisy Chaves, Eduardo Fidalgo et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deisy Chaves Colombia	6	66	64	60	41	34	19	326
Mingguang Wu China	11	69 1.0×	62 1.0×	60 1.0×	24 0.6×	42 1.2×	66	440
Qinghui Zhang China	9	64 1.0×	117 1.8×	41 0.7×	23 0.6×	47 1.4×	56	365
Francisco Jáñez-Martino Spain	6	65 1.0×	50 0.8×	47 0.8×	21 0.5×	74 2.2×	13	337
Alice N. Cheeran India	12	111 1.7×	58 0.9×	90 1.5×	21 0.5×	60 1.8×	58	413
Yunyi Li China	13	58 0.9×	97 1.5×	65 1.1×	11 0.3×	33 1.0×	41	436
Yibin Tian China	12	49 0.7×	61 1.0×	39 0.7×	16 0.4×	30 0.9×	56	488
Guoqing Hu China	12	226 3.4×	98 1.5×	97 1.6×	26 0.6×	37 1.1×	43	489
Pierluigi Pierini Italy	4	72 1.1×	27 0.4×	64 1.1×	12 0.3×	46 1.4×	5	311
Cristian Zet Romania	9	83 1.3×	65 1.0×	49 0.8×	25 0.6×	18 0.5×	42	281

Countries citing papers authored by Deisy Chaves

Since Specialization

Citations

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

Fields of papers citing papers by Deisy Chaves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deisy Chaves

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

All Works

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19 of 19 papers shown

Epelde, Gorka, Deisy Chaves, María Trujillo, et al.. (2025). An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions. BMC Medical Informatics and Decision Making. 25(1). 16–16. 1 indexed citations

Chaves, Deisy, et al.. (2023). A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection. Buleria (Universidad de León). 692–699.

Fidalgo, Eduardo, et al.. (2023). Supervised ranking approach to identify infLuential websites in the darknet. Applied Intelligence. 53(19). 22952–22968. 1 indexed citations

Trujillo, María, et al.. (2022). mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review. JMIR mhealth and uhealth. 10(9). e33247–e33247. 15 indexed citations

Achicanoy, Harold, Deisy Chaves, & María Trujillo. (2021). StyleGANs and Transfer Learning for Generating Synthetic Images in Industrial Applications. Symmetry. 13(8). 1497–1497. 9 indexed citations

Chaves, Deisy, Eduardo Fidalgo, Enrique Alegre, et al.. (2020). Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. Sensors. 20(16). 4491–4491. 241 indexed citations breakdown →

Chaves, Deisy, et al.. (2020). Improving Age Estimation in Minors and Young Adults with Occluded Faces to Fight Against Child Sexual Exploitation. 721–729. 5 indexed citations

Chaves, Deisy, María Trujillo, Edward García, et al.. (2020). Automated Inspection of Char Morphologies in Colombian Coals Using Image Analysis. Intelligent Automation & Soft Computing. 26(3). 397–405. 2 indexed citations

Chaves, Deisy. (2020). Automatic reactivity characterisation of char particles from pulverised coal combustion using computer vision. SHILAP Revista de lepidopterología. 18(2). 16–17.

10.

Fidalgo, Eduardo, et al.. (2019). Enhancing text recognition on Tor Darknet images. Buleria (Universidad de León). 828–835. 2 indexed citations

11.

Chaves, Deisy, Emanuele Trucco, Juan Barraza, & María Trujillo. (2019). An image processing system for char combustion reactivity characterisation. Computers in Industry. 106. 60–70. 4 indexed citations

12.

Chaves, Deisy, et al.. (2019). CPU vs GPU performance of deep learning based face detectors using resized images in forensic applications. 16 (93–98). 1 indexed citations

13.

Chaves, Deisy, María Trujillo, Edward García, et al.. (2019). Automated Inspection of Char Morphologies in Colombian Coals using Image Analysis. Intelligent Automation & Soft Computing. 1. 1 indexed citations

14.

Chaves, Deisy, et al.. (2018). Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes. Revista Iberoamericana de Automática e Informática Industrial RIAI. 15(3). 231–231. 11 indexed citations

15.

Chaves, Deisy, Laura Fernández-Robles, José Bernal, Enrique Alegre, & María Trujillo. (2018). Automatic characterisation of chars from the combustion of pulverised coals using machine vision. Powder Technology. 338. 110–118. 15 indexed citations

16.

Trujillo, María, et al.. (2017). Global and Local Features for Bean Image Classification. 9 (6 .)–9 (6 .). 2 indexed citations

17.

Chaves, Deisy, et al.. (2015). Automatic Classification of Nutritional Deficiencies in Coffee Plants. 11 (6 .)–11 (6 .). 12 indexed citations

18.

Chaves, Deisy, María Trujillo, & Juan Barraza. (2015). Concave points for separating touching particles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9443. 94431W–94431W. 3 indexed citations

19.

Chaves, Deisy, María Trujillo, & Juan Barraza. (2014). A segmentation approach for touching char particles. 1–5. 1 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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