Samuel Ortega

3.6k total citations
120 papers, 2.2k citations indexed

About

Samuel Ortega is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Samuel Ortega has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Media Technology, 38 papers in Radiology, Nuclear Medicine and Imaging and 36 papers in Biomedical Engineering. Recurrent topics in Samuel Ortega's work include Remote-Sensing Image Classification (41 papers), Optical Imaging and Spectroscopy Techniques (35 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (24 papers). Samuel Ortega is often cited by papers focused on Remote-Sensing Image Classification (41 papers), Optical Imaging and Spectroscopy Techniques (35 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (24 papers). Samuel Ortega collaborates with scholars based in Spain, Norway and United States. Samuel Ortega's co-authors include Gustavo M. Callicó, Himar Fabelo, Baowei Fei, Martin Halicek, Juan Manuel García Manso, David Rodríguez Ruiz, Yves de, D. Rodríguez-Matoso, Roberto Sarmiento and Marzo Edir Da Silva‐Grigoletto and has published in prestigious journals such as Scientific Reports, Optics Express and IEEE Access.

In The Last Decade

Samuel Ortega

109 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Ortega Spain 28 824 800 430 417 416 120 2.2k
Axel Wismüller United States 32 1.1k 1.3× 237 0.3× 40 0.1× 23 0.1× 108 0.3× 129 1.9k
Reza A. Zoroofi Iran 24 416 0.5× 353 0.4× 71 0.2× 107 0.3× 19 0.0× 93 1.5k
Francesco Leporati Italy 16 221 0.3× 198 0.2× 71 0.2× 164 0.4× 8 0.0× 91 914
Massimo Salvi Italy 21 442 0.5× 202 0.3× 123 0.3× 49 0.1× 25 0.1× 85 1.3k
Vikram Chalana United States 11 581 0.7× 252 0.3× 78 0.2× 59 0.1× 12 0.0× 27 1.4k
Nipon Theera‐Umpon Thailand 20 205 0.2× 133 0.2× 121 0.3× 104 0.2× 14 0.0× 128 1.5k
Mohammed A. Al‐masni South Korea 17 813 1.0× 196 0.2× 51 0.1× 61 0.1× 15 0.0× 51 2.0k
Yao Lu China 24 956 1.2× 410 0.5× 49 0.1× 165 0.4× 7 0.0× 161 2.2k
Victor Alves Portugal 13 1.2k 1.4× 352 0.4× 66 0.2× 63 0.2× 38 0.1× 57 3.0k
Muthu Subash Kavitha Japan 15 211 0.3× 217 0.3× 34 0.1× 21 0.1× 109 0.3× 76 835

Countries citing papers authored by Samuel Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Ortega

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Ortega. A scholar is included among the top collaborators of Samuel Ortega 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 Samuel Ortega. Samuel Ortega 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.
Ortega, Samuel, Stein Harris Olsen, Karsten Heia, et al.. (2025). An interdisciplinary approach to detect and grade ‘Mushy Halibut Syndrome’ in fillets of Greenland halibut (Reinhardtius hippoglossoides). Journal of Food Measurement & Characterization. 19(5). 3444–3461. 2 indexed citations
2.
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.
5.
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
6.
Ortega, Samuel, et al.. (2023). Early identification of mushy Halibut syndrome with hyperspectral image analysis. LWT. 176. 114559–114559. 8 indexed citations
7.
Guerra, Raúl, Raquel León, Samuel Ortega, et al.. (2022). Laboratory Hyperspectral Image Acquisition System Setup and Validation. Sensors. 22(6). 2159–2159. 17 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.
Quevedo, Eduardo, et al.. (2021). Sustainable Educational Robotics. Contingency Plan during Lockdown in Primary School. Sustainability. 13(15). 8388–8388. 4 indexed citations
11.
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
12.
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
13.
Torti, Emanuele, Raquel León, Himar Fabelo, et al.. (2020). Parallel Classification Pipelines for Skin Cancer Detection Exploiting Hyperspectral Imaging on Hybrid Systems. Electronics. 9(9). 1503–1503. 17 indexed citations
14.
Ortega, Samuel, Martin Halicek, Himar Fabelo, et al.. (2020). Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors. 20(7). 1911–1911. 66 indexed citations
15.
Ortega, Samuel, Himar Fabelo, Martin Halicek, et al.. (2020). Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples. Applied Sciences. 10(13). 4448–4448. 10 indexed citations
16.
León, Raquel, et al.. (2020). Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing. Applied Sciences. 10(16). 5686–5686. 18 indexed citations
17.
Ortega, Samuel, Himar Fabelo, Dimitris K. Iakovidis, Anastasios Koulaouzidis, & Gustavo M. Callicó. (2019). Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some–Different–Light into the Dark. Journal of Clinical Medicine. 8(1). 36–36. 89 indexed citations
18.
Fabelo, Himar, Samuel Ortega, Harry Bulstrode, et al.. (2018). SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples. Sensors. 18(12). 4487–4487. 8 indexed citations
19.
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
20.
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, et al.. (2018). Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors. 18(7). 2314–2314. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Axel Wismüller Breakdown of academic impact, for papers by Reza A. Zoroofi Breakdown of academic impact, for papers by Francesco Leporati Breakdown of academic impact, for papers by Massimo Salvi Breakdown of academic impact, for papers by Vikram Chalana Breakdown of academic impact, for papers by Nipon Theera‐Umpon Breakdown of academic impact, for papers by Mohammed A. Al‐masni Breakdown of academic impact, for papers by Yao Lu Breakdown of academic impact, for papers by Victor Alves Breakdown of academic impact, for papers by Muthu Subash Kavitha
Rankless by CCL
2026