Gustavo M. Callicó

3.9k total citations
166 papers, 2.3k citations indexed

About

Gustavo M. Callicó is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gustavo M. Callicó has authored 166 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Media Technology, 55 papers in Computer Vision and Pattern Recognition and 45 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gustavo M. Callicó's work include Remote-Sensing Image Classification (53 papers), Optical Imaging and Spectroscopy Techniques (36 papers) and Advanced Image Processing Techniques (26 papers). Gustavo M. Callicó is often cited by papers focused on Remote-Sensing Image Classification (53 papers), Optical Imaging and Spectroscopy Techniques (36 papers) and Advanced Image Processing Techniques (26 papers). Gustavo M. Callicó collaborates with scholars based in Spain, Norway and Italy. Gustavo M. Callicó's co-authors include Himar Fabelo, Samuel Ortega, Roberto Sarmiento, Baowei Fei, Martin Halicek, Sebastián López, José F. López, Rafael Camacho, Raquel León and María de la Luz Plaza and has published in prestigious journals such as Nature Photonics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gustavo M. Callicó

146 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gustavo M. Callicó Spain 27 844 618 611 523 435 166 2.3k
Himar Fabelo Spain 25 843 1.0× 440 0.7× 583 1.0× 236 0.5× 443 1.0× 108 1.9k
Samuel Ortega Spain 28 824 1.0× 417 0.7× 800 1.3× 210 0.4× 430 1.0× 120 2.2k
Menghan Hu China 25 347 0.4× 231 0.4× 451 0.7× 552 1.1× 152 0.3× 138 2.1k
Md Mamunur Rahaman China 21 865 1.0× 215 0.3× 201 0.3× 629 1.2× 245 0.6× 46 2.0k
Hien Van Nguyen United States 25 225 0.3× 285 0.5× 178 0.3× 839 1.6× 117 0.3× 70 2.0k
M. Iqbal Saripan Malaysia 30 960 1.1× 186 0.3× 381 0.6× 1.2k 2.3× 106 0.2× 176 3.2k
Tae‐Sun Choi South Korea 28 337 0.4× 1.2k 1.9× 207 0.3× 1.6k 3.0× 184 0.4× 188 2.6k
Francesco Leporati Italy 16 221 0.3× 164 0.3× 198 0.3× 185 0.4× 71 0.2× 91 914
Étienne Decencière France 21 1.6k 1.9× 135 0.2× 175 0.3× 1.1k 2.2× 139 0.3× 65 2.5k
Mesut Toğaçar Türkiye 22 1.2k 1.4× 109 0.2× 138 0.2× 761 1.5× 50 0.1× 57 2.3k

Countries citing papers authored by Gustavo M. Callicó

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo M. Callicó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustavo M. Callicó. 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 Gustavo M. Callicó. The network helps show where Gustavo M. Callicó may publish in the future.

Co-authorship network of co-authors of Gustavo M. Callicó

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo M. Callicó. A scholar is included among the top collaborators of Gustavo M. Callicó 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 Gustavo M. Callicó. Gustavo M. Callicó 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.
Clavo, Bernardino, Mario Federico, Gregorio Martı́nez-Sánchez, et al.. (2025). Ozone Treatment in the Management of Chemotherapy-Induced Peripheral Neuropathy: A Review of Rationale and Research Directions. Cancers. 17(14). 2278–2278.
2.
Fabelo, Himar, et al.. (2024). Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 8 indexed citations
3.
León, Raquel, et al.. (2024). Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images. Journal of the Franklin Institute. 361(18). 107282–107282.
4.
Ortega, Samuel, et al.. (2023). Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction. Journal of the Franklin Institute. 360(15). 11165–11196. 5 indexed citations
5.
6.
Villa, Enrique, et al.. (2023). Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers. Sensors. 23(2). 757–757. 11 indexed citations
7.
Torti, Emanuele, Raquel León, Himar Fabelo, et al.. (2022). Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. Sensors. 22(19). 7139–7139. 11 indexed citations
8.
Ortega, Samuel, Himar Fabelo, Emanuele Torti, et al.. (2022). Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. Sensors. 22(22). 8917–8917. 10 indexed citations
9.
Torti, Emanuele, Raquel León, Himar Fabelo, et al.. (2022). Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application. Sensors. 22(16). 6145–6145. 25 indexed citations
10.
Fabelo, Himar, Samuel Ortega, Eduardo Quevedo, et al.. (2022). Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. IEEE Journal of Biomedical and Health Informatics. 27(6). 2670–2680. 28 indexed citations
11.
Clavo, Bernardino, Gregorio Martı́nez-Sánchez, Francisco Rodrı́guez-Esparragón, et al.. (2021). Modulation by Ozone Therapy of Oxidative Stress in Chemotherapy-Induced Peripheral Neuropathy: The Background for a Randomized Clinical Trial. International Journal of Molecular Sciences. 22(6). 2802–2802. 23 indexed citations
12.
Cabrera, J. M., et al.. (2021). Influence of the change of methodology in the practical laboratories of the power electronics subject. Computer Applications in Engineering Education. 29(5). 1358–1371. 5 indexed citations
13.
Sommen, Fons van der, Himar Fabelo, Svitlana Zinger, et al.. (2020). Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. Sensors. 20(23). 6955–6955. 49 indexed citations
14.
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, et al.. (2020). Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms. IEEE Access. 8. 8485–8501. 36 indexed citations
15.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2020). Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support. Journal of Clinical Medicine. 9(6). 1662–1662. 75 indexed citations
16.
Ortega, Samuel, Martin Halicek, Himar Fabelo, Gustavo M. Callicó, & Baowei Fei. (2020). Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited]. Biomedical Optics Express. 11(6). 3195–3195. 121 indexed citations
17.
Halicek, Martin, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, & Baowei Fei. (2019). In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer. Cancers. 11(6). 756–756. 156 indexed citations
18.
Torti, Emanuele, Giordana Florimbi, Samuel Ortega, et al.. (2018). Parallel K-Means Clustering for Brain Cancer Detection Using Hyperspectral Images. Electronics. 7(11). 283–283. 31 indexed citations
19.
Torti, Emanuele, Giordana Florimbi, Francesco Leporati, et al.. (2018). Acceleration of brain cancer detection algorithms during surgery procedures using GPUs. Microprocessors and Microsystems. 61. 171–178. 16 indexed citations
20.
Ortega, Samuel, Himar Fabelo, Rafael Camacho, et al.. (2018). Detecting brain tumor in pathological slides using hyperspectral imaging. Biomedical Optics Express. 9(2). 818–818. 87 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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