Olac Fuentes

1.6k total citations
70 papers, 833 citations indexed

About

Olac Fuentes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Olac Fuentes has authored 70 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 10 papers in Control and Systems Engineering. Recurrent topics in Olac Fuentes's work include Robot Manipulation and Learning (9 papers), Face and Expression Recognition (9 papers) and Speech and dialogue systems (6 papers). Olac Fuentes is often cited by papers focused on Robot Manipulation and Learning (9 papers), Face and Expression Recognition (9 papers) and Speech and dialogue systems (6 papers). Olac Fuentes collaborates with scholars based in United States, Mexico and Puerto Rico. Olac Fuentes's co-authors include Randal C. Nelson, Jorge de la Calleja, Martin Jägersand, Nigel G. Ward, Владик Крейнович, Chris Quintana, Rajesh P. N. Rao, Richard Brower, Huiying Yu and Amr Abdelgawad and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Remote Sensing and Machine Learning.

In The Last Decade

Olac Fuentes

64 papers receiving 770 citations

Peers

Olac Fuentes
M. Kalaiselvi Geetha India
Hai Liu China
Hang Wu China
Hasan Şakir Bılge Türkiye
Robert J. Schalkoff United States
Hao Zhou China
Jeff Orchard Canada
Jianfeng Li China
Xiaojun Bi China
Lin Qi China
M. Kalaiselvi Geetha India
Olac Fuentes
Citations per year, relative to Olac Fuentes Olac Fuentes (= 1×) peers M. Kalaiselvi Geetha

Countries citing papers authored by Olac Fuentes

Since Specialization
Citations

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

Fields of papers citing papers by Olac Fuentes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olac Fuentes

This figure shows the co-authorship network connecting the top 25 collaborators of Olac Fuentes. A scholar is included among the top collaborators of Olac Fuentes 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 Olac Fuentes. Olac Fuentes 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.
Miles, Katie E., et al.. (2023). Boundary Aware U-Net for Glacier Segmentation. arXiv (Cornell University). 4. 1 indexed citations
2.
Ward, Nigel G., et al.. (2020). Using Prosody to Find Mentions of Urgent Problems in Radio Broadcasts. 660–664. 1 indexed citations
3.
4.
Fuentes, Olac, et al.. (2017). Use of Machine Learning to Analyze and – Hopefully – Predict Volcano Activity. Acta Polytechnica Hungarica. 14(3). 5 indexed citations
5.
Sarkodie-Gyan, Thompson, et al.. (2011). Automatic classification of pathological gait patterns using ground reaction forces and machine learning algorithms. PubMed. 2011. 453–457. 71 indexed citations
6.
Gutstein, Steven E., Olac Fuentes, & Eric Freudenthal. (2009). Training to a neural net's inherent bias. The Florida AI Research Society. 204(5). 683–96. 1 indexed citations
7.
Calleja, Jorge de la, Olac Fuentes, & Jesús A. González. (2008). Selecting Minority Examples from Misclassified Data for Over- sampling. The Florida AI Research Society. 276–281. 5 indexed citations
8.
Fuentes, Olac, et al.. (2008). The utility of knowledge transfer for noisy data. The Florida AI Research Society. 59–64. 1 indexed citations
9.
Fuentes, Olac, et al.. (2007). Knowledge transfer in deep convolutional neural nets. The Florida AI Research Society. 104–109. 2 indexed citations
10.
Calleja, Jorge de la & Olac Fuentes. (2007). A distance-based over-sampling method for learning from imbalanced data sets. The Florida AI Research Society. 634–635. 29 indexed citations
11.
Calleja, Jorge de la & Olac Fuentes. (2006). Automated Classification of Astronomical Objects in Multispectral Wide-Field Images.. The Florida AI Research Society. 610–612. 1 indexed citations
12.
Escalante, Hugo Jair & Olac Fuentes. (2006). Analysis of Galactic Spectra using Noise-Aware Learning Algorithms. The Florida AI Research Society. 550–555. 1 indexed citations
13.
Fuentes, Olac, et al.. (2005). An Object Detection System using Image Reconstruction with PCA. 4. 2–8. 4 indexed citations
14.
Martı́nez, Carmen & Olac Fuentes. (2003). Face Recognition Using Unlabeled Data. Computación y Sistemas. 7(2). 123–129. 12 indexed citations
15.
Vázquez-Montiel, S., et al.. (2002). Obtaining the phase of an interferogram by use of an evolution strategy: Part I. Applied Optics. 41(17). 3448–3448. 10 indexed citations
16.
Fuentes, Olac, et al.. (2002). A Hybrid Algorithm for Spectral Analysis. Experimental Astronomy. 14(3). 129–146.
17.
Fuentes, Olac & R. K. Gulati. (2001). Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning. 10. 209–217. 6 indexed citations
18.
Fuentes, Olac, et al.. (2000). Instance-Based Machine Learning Methods for the Prediction of Stellar Atmospheric Parameters. ASPC. 216. 611. 1 indexed citations
19.
Rao, Rajesh P. N. & Olac Fuentes. (1995). Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps. 2 indexed citations
20.
Крейнович, Владик, et al.. (1992). What non-linearity to choose? Mathematical foundations of fuzzy control. 10 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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