Teresa E. Alarcón

452 total citations
19 papers, 283 citations indexed

About

Teresa E. Alarcón is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ecology. According to data from OpenAlex, Teresa E. Alarcón has authored 19 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 3 papers in Ecology. Recurrent topics in Teresa E. Alarcón's work include Medical Image Segmentation Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Image and Signal Denoising Methods (3 papers). Teresa E. Alarcón is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Image and Signal Denoising Methods (3 papers). Teresa E. Alarcón collaborates with scholars based in Mexico, Spain and Cuba. Teresa E. Alarcón's co-authors include Oscar Dalmau, Roberto Rodríguez, Basilio Sierra, Carmen Hernández, Adalberto Zamudio‐Ojeda, José L. Marroquín, Mariano Rivera, Gerardo Ortíz-Torres, Felipe D. J. Sorcia‐Vázquez and José V. Manjón and has published in prestigious journals such as IEEE Access, Sensors and Computers in Biology and Medicine.

In The Last Decade

Teresa E. Alarcón

18 papers receiving 271 citations

Peers

Teresa E. Alarcón
Y. J. Zhang China
A. Moga Germany
Jun Lyu China
Hüseyin Fırat Türkiye
Ajay Kumar Boyat India
J.F. Haddon United Kingdom
Yao Yang China
Daniel Madroñal Spain
Y. J. Zhang China
Teresa E. Alarcón
Citations per year, relative to Teresa E. Alarcón Teresa E. Alarcón (= 1×) peers Y. J. Zhang

Countries citing papers authored by Teresa E. Alarcón

Since Specialization
Citations

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

Fields of papers citing papers by Teresa E. Alarcón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teresa E. Alarcón. 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 Teresa E. Alarcón. The network helps show where Teresa E. Alarcón may publish in the future.

Co-authorship network of co-authors of Teresa E. Alarcón

This figure shows the co-authorship network connecting the top 25 collaborators of Teresa E. Alarcón. A scholar is included among the top collaborators of Teresa E. Alarcón 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 Teresa E. Alarcón. Teresa E. Alarcón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Alarcón, Teresa E., et al.. (2024). MRI Rician Noise Reduction Using Recurrent Convolutional Neural Networks. IEEE Access. 12. 128272–128284. 1 indexed citations
2.
Alarcón, Teresa E., et al.. (2024). A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications. Algorithms. 17(11). 476–476. 2 indexed citations
3.
Alarcón, Teresa E., et al.. (2022). Arbitrary Scale Super-Resolution Neural Network Based on Residual Channel-Spatial Attention. IEEE Access. 10. 108697–108709. 1 indexed citations
4.
Dalmau, Oscar, et al.. (2021). U-Net based neural network for fringe pattern denoising. Optics and Lasers in Engineering. 149. 106829–106829. 29 indexed citations
5.
Dalmau, Oscar, et al.. (2021). A Residual Dense U-Net Neural Network for Image Denoising. IEEE Access. 9. 31742–31754. 125 indexed citations
6.
Alarcón, Teresa E., et al.. (2020). An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles. Sensors. 20(21). 6247–6247. 9 indexed citations
7.
Dalmau, Oscar, et al.. (2018). Selection and Fusion of Spectral Indices to Improve Water Body Discrimination. IEEE Access. 6. 72952–72961. 9 indexed citations
8.
Sierra, Basilio, et al.. (2017). A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs. Sensors. 17(6). 1411–1411. 20 indexed citations
9.
Dalmau, Oscar, et al.. (2017). Crop Classification in Satellite Images through Probabilistic Segmentation Based on Multiple Sources. Sensors. 17(6). 1373–1373. 5 indexed citations
10.
Alarcón, Teresa E., et al.. (2016). Segmentation of carbon nanotube images through an artificial neural network. Soft Computing. 21(3). 611–625. 15 indexed citations
11.
Dalmau, Oscar, et al.. (2014). Kernel multilogit algorithm for multiclass classification. Computational Statistics & Data Analysis. 82. 199–206. 1 indexed citations
12.
Alarcón, Teresa E., et al.. (2014). Characterization of Nanotube Structures Using Digital-Segmented Images. 27. 57–65. 1 indexed citations
13.
Dalmau, Oscar, Mariano Rivera, & Teresa E. Alarcón. (2010). Bayesian Scheme for Interactive Colourization, Recolourization and Image/Video Editing. Computer Graphics Forum. 29(8). 2372–2386. 2 indexed citations
14.
Alarcón, Teresa E. & José L. Marroquín. (2009). Linguistic color image segmentation using a hierarchical Bayesian approach. Color Research & Application. 34(4). 299–309. 6 indexed citations
15.
Rodríguez, Roberto, et al.. (2005). A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method. Computers in Biology and Medicine. 35(8). 665–686. 25 indexed citations
16.
Alarcón, Teresa E., et al.. (2005). A Strategy for Atherosclerosis Image Segmentation by Using Robust Markers. Journal of Applied Sciences. 5(8). 1316–1327. 1 indexed citations
17.
Rodríguez, Roberto, et al.. (2003). Blood Vessel Segmentation via Neural Network in Histological Images. Journal of Intelligent & Robotic Systems. 36(4). 451–465. 7 indexed citations
18.
Rodríguez, Roberto, et al.. (2002). Color Segmentation Applied to Study of the Angiogenesis. Part I. Journal of Intelligent & Robotic Systems. 34(1). 83–97. 18 indexed citations
19.
Rodríguez, Roberto, et al.. (2002). A Strategy for Reduction of Noise in Segmented Images. Its Use in the Study of Angiogenesis. Journal of Intelligent & Robotic Systems. 33(1). 99–112. 6 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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