Juan Manuel Ramos-Arreguín

545 total citations
40 papers, 370 citations indexed

About

Juan Manuel Ramos-Arreguín is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Juan Manuel Ramos-Arreguín has authored 40 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Environmental Engineering and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Juan Manuel Ramos-Arreguín's work include Air Quality Monitoring and Forecasting (12 papers), Air Quality and Health Impacts (10 papers) and Image Enhancement Techniques (6 papers). Juan Manuel Ramos-Arreguín is often cited by papers focused on Air Quality Monitoring and Forecasting (12 papers), Air Quality and Health Impacts (10 papers) and Image Enhancement Techniques (6 papers). Juan Manuel Ramos-Arreguín collaborates with scholars based in Mexico, Spain and Canada. Juan Manuel Ramos-Arreguín's co-authors include Sebastián Salazar-Colores, Jesús Carlos Pedraza‐Ortega, Eduardo Cabal‐Yépez, Marco Antonio Aceves-Fernández, Juvenal Rodríguez‐Reséndiz, Sergio Ledesma, Luis M. Ledesma-Carrillo, Guillermo Botella, Luciano Nava‐Balanzar and Gerardo Flores and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Juan Manuel Ramos-Arreguín

36 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Manuel Ramos-Arreguín Mexico 11 173 87 66 57 43 40 370
Liaoyuan Zeng China 14 265 1.5× 68 0.8× 39 0.6× 25 0.4× 11 0.3× 64 498
Suree Pumrin Thailand 10 270 1.6× 46 0.5× 39 0.6× 20 0.4× 27 0.6× 34 402
B. H. Sudantha Sri Lanka 10 54 0.3× 11 0.1× 167 2.5× 58 1.0× 59 1.4× 34 412
Miao Hua China 6 70 0.4× 23 0.3× 171 2.6× 20 0.4× 121 2.8× 21 378
Michal Havlena Switzerland 12 567 3.3× 52 0.6× 95 1.4× 17 0.3× 6 0.1× 28 755
Qian He China 5 306 1.8× 92 1.1× 22 0.3× 9 0.2× 12 0.3× 8 399
Hirokazu Madokoro Japan 8 152 0.9× 6 0.1× 53 0.8× 38 0.7× 16 0.4× 102 322

Countries citing papers authored by Juan Manuel Ramos-Arreguín

Since Specialization
Citations

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

Fields of papers citing papers by Juan Manuel Ramos-Arreguín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Manuel Ramos-Arreguín. 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 Juan Manuel Ramos-Arreguín. The network helps show where Juan Manuel Ramos-Arreguín may publish in the future.

Co-authorship network of co-authors of Juan Manuel Ramos-Arreguín

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Manuel Ramos-Arreguín. A scholar is included among the top collaborators of Juan Manuel Ramos-Arreguín 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 Juan Manuel Ramos-Arreguín. Juan Manuel Ramos-Arreguín 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.
Salazar-Colores, Sebastián, et al.. (2024). Parallel Ictal-Net, a Parallel CNN Architecture with Efficient Channel Attention for Seizure Detection. Sensors. 24(3). 716–716. 5 indexed citations
2.
Aceves-Fernández, Marco Antonio, et al.. (2024). Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations. Earth Science Informatics. 17(4). 3095–3110.
3.
4.
Rangel‐Magdaleno, Jose, et al.. (2023). Modeling of Particulate Pollutants Using a Memory-Based Recurrent Neural Network Implemented on an FPGA. Micromachines. 14(9). 1804–1804.
5.
Pedraza‐Ortega, Jesús Carlos, et al.. (2023). A Robust Sphere Detection in a Realsense Point Cloud by USING Z-Score and RANSAC. Mathematics. 11(4). 1023–1023. 2 indexed citations
6.
Salazar-Colores, Sebastián, et al.. (2023). Towards lane detection using a generative adversarial network. SHILAP Revista de lepidopterología. 15(31). 1–11. 1 indexed citations
7.
Pedraza‐Ortega, Jesús Carlos, et al.. (2022). Reduced Calibration Strategy Using a Basketball for RGB-D Cameras. Mathematics. 10(12). 2085–2085. 2 indexed citations
8.
9.
Tovar‐Arriaga, Saúl, et al.. (2019). Classification of proliferative diabetic retinopathy using deep learning. 1–6. 1 indexed citations
10.
Salazar-Colores, Sebastián, Juan Manuel Ramos-Arreguín, Jesús Carlos Pedraza‐Ortega, & Juvenal Rodríguez‐Reséndiz. (2019). Efficient single image dehazing by modifying the dark channel prior. EURASIP Journal on Image and Video Processing. 2019(1). 30 indexed citations
11.
Salazar-Colores, Sebastián, et al.. (2019). Improving 3D reconstruction accuracy in wavelet transform profilometry by reducing shadow effects. IET Image Processing. 14(2). 310–317. 10 indexed citations
12.
Ramos-Arreguín, Juan Manuel, et al.. (2017). Horn & Schunck parameter characterization of the gradient based method for Optical Flow computing. 1–6. 3 indexed citations
13.
Aceves-Fernández, Marco Antonio, et al.. (2017). Steady-state visual evoked potential (SSEVP) from EEG signal modeling based upon recurrence plots. Evolving Systems. 10(2). 97–109. 5 indexed citations
14.
Tovar‐Arriaga, Saúl, et al.. (2015). Tool calibration with an optical tracker for skull milling. 149–154. 1 indexed citations
15.
Aceves-Fernández, Marco Antonio, et al.. (2014). FPGA Architecture for Image Processing Based on FLASH-SRAM Memory. 32–37. 1 indexed citations
16.
Aceves-Fernández, Marco Antonio, et al.. (2014). Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms. 4(4). 81–90. 6 indexed citations
17.
Aceves-Fernández, Marco Antonio, et al.. (2013). Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City. Environmental Modeling & Assessment. 19(2). 139–152. 7 indexed citations
18.
Aceves-Fernández, Marco Antonio, et al.. (2012). Analysis of Key Features of Non-Linear Behavior Using Recurrence Plots. Case Study: Urban Pollution at Mexico City. Journal of Environmental Protection. 3(9). 1147–1160. 4 indexed citations
19.
Nava‐Balanzar, Luciano, et al.. (2010). Development of an ultrasonic thickness measurement equipment prototype. 1. 124–129. 14 indexed citations
20.
Pedraza‐Ortega, Jesús Carlos, et al.. (2009). A 3D Sensor Based on a Profilometrical Approach. Sensors. 9(12). 10326–10340. 5 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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