Juan Manuel Ramos-Arreguín
- Media Technology top 5%
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- Image Enhancement Techniques 6
- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 4
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- Air Quality Monitoring and Forecasting 12
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- Air Quality and Health Impacts 10
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- Vehicle emissions and performance 5
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Sebastián Salazar-ColoresJesús Carlos Pedraza‐OrtegaMarco Antonio Aceves-FernándezEduardo Cabal‐YépezJuvenal Rodríguez‐ReséndizGuillermo BotellaSergio LedesmaLuis M. Ledesma-Carrillo
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Access (1 paper)
In The Last Decade
Juan Manuel Ramos-Arreguín
36 papers receiving 349 citations
Peers
Comparison fields: 5 of 69
- Media Technology 87
- Computer Vision and Pattern Recognition 173
- Environmental Engineering 66
- Health, Toxicology and Mutagenesis 43
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Juan Manuel Ramos-Arreguín
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
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
The 18 scholars most cited alongside Juan Manuel Ramos-Arreguín, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 30 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 86 | |
| 14 | 2017 | 3 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 1 | |
| 18 | 2013 | 7 | |
| 19 | 2012 | 4 | |
| 20 | 2009 | 5 |
About Juan Manuel Ramos-Arreguín
Juan Manuel Ramos-Arreguín is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 370 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (12 papers), Air Quality and Health Impacts (10 papers), Image Enhancement Techniques (6 papers), Vehicle emissions and performance (5 papers), Advanced Image Processing Techniques (5 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Vision and Imaging (4 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Media Technology (87 citations), Computer Vision and Pattern Recognition (173 citations) and Environmental Engineering (66 citations). Juan Manuel Ramos-Arreguín has collaborated with scholars based in Mexico, Spain and Canada. Frequent co-authors include Sebastián Salazar-Colores, Jesús Carlos Pedraza‐Ortega, Marco Antonio Aceves-Fernández, Eduardo Cabal‐Yépez, Juvenal Rodríguez‐Reséndiz, Guillermo Botella, Sergio Ledesma, Luis M. Ledesma-Carrillo, Luciano Nava‐Balanzar and Ulises Cortés. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.
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.