Leo Ramos

607 total citations
31 papers, 260 citations indexed

About

Leo Ramos is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Leo Ramos has authored 31 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Safety, Risk, Reliability and Quality and 4 papers in Artificial Intelligence. Recurrent topics in Leo Ramos's work include Fire Detection and Safety Systems (5 papers), Video Surveillance and Tracking Methods (4 papers) and Artificial Intelligence in Law (3 papers). Leo Ramos is often cited by papers focused on Fire Detection and Safety Systems (5 papers), Video Surveillance and Tracking Methods (4 papers) and Artificial Intelligence in Law (3 papers). Leo Ramos collaborates with scholars based in Ecuador, Spain and United States. Leo Ramos's co-authors include Francklin Rivas, Edmundo Casas, Eduardo Bendek, Ángel D. Sappa, Manuel Eugenio Morocho-Cayamcela, Oscar Chang, Cenk Temizel, Luigi Saputelli, Juan Carlos Durán and J. Gallardo and has published in prestigious journals such as Scientific Reports, IEEE Access and Neural Computing and Applications.

In The Last Decade

Leo Ramos

24 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Ramos Ecuador 10 91 51 32 30 27 31 260
Edmundo Casas Spain 8 77 0.8× 45 0.9× 24 0.8× 17 0.6× 24 0.9× 14 199
Gaofeng Ren China 4 242 2.7× 28 0.5× 25 0.8× 25 0.8× 24 0.9× 6 353
Ye Yu China 10 254 2.8× 23 0.5× 36 1.1× 31 1.0× 21 0.8× 31 445
Qiang Gao China 9 64 0.7× 14 0.3× 25 0.8× 41 1.4× 30 1.1× 59 283
Plamen Zahariev Bulgaria 10 109 1.2× 117 2.3× 95 3.0× 18 0.6× 14 0.5× 55 369
Pei Guo China 8 145 1.6× 13 0.3× 25 0.8× 70 2.3× 22 0.8× 30 380
Diyana Kinaneva Bulgaria 8 105 1.2× 116 2.3× 93 2.9× 13 0.4× 13 0.5× 29 300
Mohamed Benslimane Morocco 9 46 0.5× 7 0.1× 22 0.7× 55 1.8× 39 1.4× 53 288

Countries citing papers authored by Leo Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Leo Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Ramos. A scholar is included among the top collaborators of Leo Ramos 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 Leo Ramos. Leo Ramos 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.
Ramos, Leo & Ángel D. Sappa. (2025). Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery. Scientific Reports. 15(1). 784–784. 10 indexed citations
2.
Rivas, Francklin, et al.. (2025). LegalBot-EC: An LLM-Based Chatbot for Legal Assistance in Ecuadorian Law. IEEE Access. 13. 106817–106833.
3.
Ramos, Leo & Ángel D. Sappa. (2025). A Decade of You Only Look Once (YOLO) for Object Detection: A Review. IEEE Access. 13. 192747–192794. 1 indexed citations
4.
Ramos, Leo, et al.. (2025). A study of YOLO architectures for wildfire and smoke detection in ground and aerial imagery. Results in Engineering. 26. 104869–104869. 8 indexed citations
5.
Ramos, Leo & Ángel D. Sappa. (2025). A comprehensive analysis of YOLO architectures for tomato leaf disease identification. Scientific Reports. 15(1). 26890–26890. 1 indexed citations
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Casas, Edmundo, et al.. (2024). A review of computer vision applications for asset inspection in the oil and gas industry. Journal of Pipeline Science and Engineering. 5(3). 100246–100246. 1 indexed citations
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Chang, Oscar, et al.. (2024). Continual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing. Multimedia Tools and Applications. 84(3). 1537–1559. 1 indexed citations
10.
Ramos, Leo, Edmundo Casas, & Francklin Rivas. (2024). Synthetic generated data for intelligent corrosion classification in oil and gas pipelines. Intelligent Systems with Applications. 25. 200463–200463. 2 indexed citations
11.
Ramos, Leo & Ángel D. Sappa. (2024). Multispectral Semantic Segmentation for Land Cover Classification: An Overview. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14295–14336. 19 indexed citations
12.
Casas, Edmundo, et al.. (2024). An End-to-End Platform for Managing Third-Party Risks in Oil Pipelines. IEEE Access. 12. 77831–77851. 4 indexed citations
13.
Casas, Edmundo, Leo Ramos, Eduardo Bendek, & Francklin Rivas. (2024). YOLOv5 vs. YOLOv8: Performance Benchmarking in Wildfire and Smoke Detection Scenarios. Journal of Image and Graphics. 12(2). 127–136. 27 indexed citations
14.
Saputelli, Luigi, Juan Carlos Durán, Francklin Rivas, et al.. (2024). Success Cases and Lessons Learned After 20 Years of Oilfield Digitalization Efforts. SPE Annual Technical Conference and Exhibition.
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Ramos, Leo, et al.. (2023). Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022. SN Applied Sciences. 5(12). 13 indexed citations
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Ramos, Leo, et al.. (2022). Lung Segmentation Pipeline for CT Images. 943. 1–6. 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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