Olac Fuentes

64 papers receiving 770 citations

Peers

Olac Fuentes
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 367
  • Artificial Intelligence 236
  • Biomedical Engineering 116
  • Media Technology 111
  • Control and Systems Engineering 102
Replace Hao Zhou with:
Hao Zhou China
Stanislav Kovačič Slovenia
Mattias Wahde Sweden
Vahid Abolghasemi United Kingdom
Gianfranco Doretto United States
Yasuhiro Mukaigawa Japan
Sumantra Dutta Roy India
Pavan Chakraborty India
Dominique Ginhac France
P. Bolon France
Olac Fuentes relative to Hao Zhou China Hao Zhou's profile →
Citations per field
00.5×1.5×2.4×
Hao Zhou · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 15
4 5
5 71
6 1
7
Selecting Minority Examples from Misclassified Data for Over- sampling
5
8
The utility of knowledge transfer for noisy data
1
9
Knowledge transfer in deep convolutional neural nets
2
10
A distance-based over-sampling method for learning from imbalanced data sets
29
11
Automated Classification of Astronomical Objects in Multispectral Wide-Field Images.
1
12
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
1
13 4
14 12
15 10
16 0
17
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning
6
18
Instance-Based Machine Learning Methods for the Prediction of Stellar Atmospheric Parameters
1
19
Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps
2
20
What non-linearity to choose? Mathematical foundations of fuzzy control
10

About Olac Fuentes

Olac Fuentes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Instrumentation, having authored 70 papers that have together received 833 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Face and Expression Recognition (9 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Media Technology (111 citations) and Artificial Intelligence (236 citations). Olac Fuentes has collaborated with scholars based in United States, Mexico and Puerto Rico. Frequent 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. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Remote Sensing and Machine Learning.

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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