Roberto Sarmiento

2.9k total citations
157 papers, 1.8k citations indexed

About

Roberto Sarmiento is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Roberto Sarmiento has authored 157 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 45 papers in Media Technology and 45 papers in Electrical and Electronic Engineering. Recurrent topics in Roberto Sarmiento's work include Remote-Sensing Image Classification (44 papers), Advanced Data Compression Techniques (39 papers) and Video Coding and Compression Technologies (26 papers). Roberto Sarmiento is often cited by papers focused on Remote-Sensing Image Classification (44 papers), Advanced Data Compression Techniques (39 papers) and Video Coding and Compression Technologies (26 papers). Roberto Sarmiento collaborates with scholars based in Spain, Netherlands and Australia. Roberto Sarmiento's co-authors include Sebastián López, Gustavo M. Callicó, José F. López, Lucana Santos, Raúl Guerra, Samuel Ortega, Himar Fabelo, Antonio Plaza, Sergio Bernabé and María Díaz and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Roberto Sarmiento

144 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Sarmiento Spain	25	767	719	322	262	247	157	1.8k
Glenn Healey United States	23	1.3k 1.7×	2.0k 2.8×	302 0.9×	168 0.6×	218 0.9×	144	3.1k
Hongying Liu China	24	773 1.0×	628 0.9×	315 1.0×	118 0.5×	131 0.5×	157	1.9k
Liejun Wang China	22	542 0.7×	843 1.2×	269 0.8×	109 0.4×	91 0.4×	172	2.0k
Selim Aksoy Türkiye	21	627 0.8×	1.0k 1.4×	241 0.7×	38 0.1×	92 0.4×	75	2.1k
Xiaofei Yang China	18	794 1.0×	410 0.6×	402 1.2×	162 0.6×	97 0.4×	98	1.8k
Rui Song China	24	906 1.2×	992 1.4×	214 0.7×	60 0.2×	117 0.5×	95	1.7k
Jingjing Ma China	23	621 0.8×	788 1.1×	203 0.6×	92 0.4×	209 0.8×	65	1.8k

Countries citing papers authored by Roberto Sarmiento

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Sarmiento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Sarmiento

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

All Works

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20 of 20 papers shown

Santos, Lucana, et al.. (2023). Abeto: An automated benchmarking tool to manage heterogeneous IP core databases. Microprocessors and Microsystems. 104. 104987–104987.

Entrena, Luis, Luis A. García-Astudillo, M. Portela-García, et al.. (2023). Formal Verification of Fault-Tolerant Hardware Designs. IEEE Access. 11. 116127–116140. 1 indexed citations

Sarmiento, Roberto, et al.. (2023). A Hardware/Software Design Space Exploration for Efficient Video Compression on ESA missions. Acceda (Universidad de Las Palmas de Gran Canaria). 1–8.

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

Guerra, Raúl, et al.. (2021). Performance Assessment of the CCSDS-123 Standard for Panchromatic Video Compression on Space Missions. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 3 indexed citations

López, Sebastián, et al.. (2020). Lossy Hyperspectral Image Compression on a Reconfigurable and Fault-Tolerant FPGA-Based Adaptive Computing Platform. Electronics. 9(10). 1576–1576. 8 indexed citations

Fabelo, Himar, Samuel Ortega, Giordana Florimbi, et al.. (2019). High-Level Synthesis of Multiclass SVM Using Code Refactoring to Classify Brain Cancer from Hyperspectral Images. Electronics. 8(12). 1494–1494. 8 indexed citations

Santos, Lucana, et al.. (2019). Scalable Hardware-Based On-Board Processing for Run-Time Adaptive Lossless Hyperspectral Compression. IEEE Access. 7. 10644–10652. 25 indexed citations

Ortega, Samuel, Raúl Guerra, María Díaz, et al.. (2019). Hyperspectral Push-Broom Microscope Development and Characterization. IEEE Access. 7. 122473–122491. 27 indexed citations

10.

Fabelo, Himar, Martin Halicek, Samuel Ortega, et al.. (2019). Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors. 19(4). 920–920. 124 indexed citations

11.

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

12.

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

13.

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

14.

Guerra, Raúl, et al.. (2018). A Runtime-Scalable and Hardware-Accelerated Approach to On-Board Linear Unmixing of Hyperspectral Images. Remote Sensing. 10(11). 1790–1790. 2 indexed citations

15.

Santos, Lucana, et al.. (2018). Hardware Implementation of the CCSDS 123.0-B-1 Lossless Multispectral and Hyperspectral Image Compression Standard by means of High Level Synthesis Tools. Acceda (Universidad de Las Palmas de Gran Canaria). 1. 1–5. 3 indexed citations

16.

Sarmiento, Roberto, et al.. (2015). Measurement ofthe nonlinear optical properties ofoliveoil using Z-Scan. Optica Pura y Aplicada. 48(1). 55–61. 1 indexed citations

17.

Sarmiento, Roberto, et al.. (2013). Moving Technical Reports Forward. Purdue e-Pubs (Purdue University System).

18.

López, Sebastián, et al.. (2010). Exploration of hardware sharing for image encoders. Design, Automation, and Test in Europe. 1737–1742. 2 indexed citations

19.

López, Sebastián, et al.. (2007). Mapping control-intensive video kernels onto a coarse-grain reconfigurable architecture: the H.264/AVC deblocking filter. Design, Automation, and Test in Europe. 177–182. 21 indexed citations

20.

Sarmiento, Roberto, et al.. (2002). Secure speech and data communication over the public switching telephone network. ii. II/425–II/428. 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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