Daniel Sierra-Sosa

1.7k total citations · 2 hit papers
52 papers, 1.0k citations indexed

About

Daniel Sierra-Sosa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Sierra-Sosa has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Sierra-Sosa's work include Colorectal Cancer Screening and Detection (6 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Daniel Sierra-Sosa is often cited by papers focused on Colorectal Cancer Screening and Detection (6 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Daniel Sierra-Sosa collaborates with scholars based in United States, Spain and Colombia. Daniel Sierra-Sosa's co-authors include Adel Elmaghraby, Begonya García-Zapirain, Abbas Shah Syed, Anup Kumar, Sofia Zahia, Cristián Castillo-Olea, Asma Baccouche, Roberto Nuño-Solínis, Myrian Tebaldi and Ibon Ruiz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Access.

In The Last Decade

Daniel Sierra-Sosa

46 papers receiving 976 citations

Hit Papers

IoT in Smart Cities: A Survey of Technologies, Practices ... 2021 2026 2022 2024 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sierra-Sosa United States 15 380 168 168 119 118 52 1.0k
Galip Aydın Türkiye 17 365 1.0× 154 0.9× 225 1.3× 64 0.5× 79 0.7× 45 1.2k
Abdelmgeid A. Ali Egypt 18 645 1.7× 135 0.8× 385 2.3× 134 1.1× 125 1.1× 33 1.5k
AKM Azad Australia 19 364 1.0× 198 1.2× 272 1.6× 110 0.9× 74 0.6× 86 1.4k
Ahmed Sedik Egypt 16 292 0.8× 70 0.4× 404 2.4× 70 0.6× 138 1.2× 56 1.1k
Samina Khalid Pakistan 11 390 1.0× 104 0.6× 236 1.4× 43 0.4× 89 0.8× 27 1.1k
Atef Zaguia Saudi Arabia 19 326 0.9× 179 1.1× 245 1.5× 15 0.1× 47 0.4× 51 1.2k
Mohammad Abu Yousuf Bangladesh 20 537 1.4× 251 1.5× 457 2.7× 23 0.2× 115 1.0× 86 1.5k
Md. Kamrul Hasan Bangladesh 20 1.1k 2.8× 58 0.3× 394 2.3× 211 1.8× 128 1.1× 67 2.0k
Manjeevan Seera Malaysia 21 889 2.3× 75 0.4× 237 1.4× 47 0.4× 63 0.5× 58 1.7k
Junchang Xin China 18 565 1.5× 228 1.4× 173 1.0× 23 0.2× 156 1.3× 86 1.1k

Countries citing papers authored by Daniel Sierra-Sosa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sierra-Sosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Sierra-Sosa. 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 Daniel Sierra-Sosa. The network helps show where Daniel Sierra-Sosa may publish in the future.

Co-authorship network of co-authors of Daniel Sierra-Sosa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sierra-Sosa. A scholar is included among the top collaborators of Daniel Sierra-Sosa 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 Daniel Sierra-Sosa. Daniel Sierra-Sosa 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.
Decoodt, Pierre, et al.. (2024). Transfer Learning Video Classification of Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction in Echocardiography. Diagnostics. 14(13). 1439–1439. 2 indexed citations
2.
Decoodt, Pierre, et al.. (2023). Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays. Journal of Imaging. 9(7). 128–128. 13 indexed citations
3.
Sierra-Sosa, Daniel, et al.. (2023). A Robust Pedestrian Re-Identification and Out-Of-Distribution Detection Framework. Drones. 7(6). 352–352.
4.
Duque, Juan C., et al.. (2022). Using quantum computing to solve the maximal covering location problem. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
5.
Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2022). Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints. Sensors. 22(12). 4380–4380. 14 indexed citations
6.
Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2021). IoT in Smart Cities: A Survey of Technologies, Practices and Challenges. Smart Cities. 4(2). 429–475. 264 indexed citations breakdown →
7.
Sierra-Sosa, Daniel, et al.. (2021). Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models. Sensors. 21(4). 1249–1249. 167 indexed citations breakdown →
8.
Sierra-Sosa, Daniel, et al.. (2021). Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset. IEEE Access. 10. 3705–3715. 59 indexed citations
9.
Sierra-Sosa, Daniel, et al.. (2020). A topic modeling framework for spatio-temporal information management. Information Processing & Management. 57(6). 102340–102340. 23 indexed citations
10.
Sierra-Sosa, Daniel, et al.. (2020). Poincare sphere noise filtering for singularities in dynamic speckle activity: Application to paint drying time measurement. Optics and Lasers in Engineering. 136. 106317–106317. 2 indexed citations
11.
Sierra-Sosa, Daniel, et al.. (2019). Detection of Volatile Compounds Emitted by Bacteria in Wounds Using Gas Sensors. Sensors. 19(7). 1523–1523. 10 indexed citations
12.
Sierra-Sosa, Daniel, et al.. (2019). Demographic Influence on Opioid Misuse. 1–4. 1 indexed citations
13.
Zahia, Sofia, Daniel Sierra-Sosa, Begonya García-Zapirain, & Adel Elmaghraby. (2018). Tissue classification and segmentation of pressure injuries using convolutional neural networks. Computer Methods and Programs in Biomedicine. 159. 51–58. 63 indexed citations
14.
García-Zapirain, Begonya, et al.. (2018). Efficient use of mobile devices for quantification of pressure injury images. Technology and Health Care. 26(1_suppl). 269–280. 7 indexed citations
15.
García-Zapirain, Begonya, et al.. (2018). Automatized colon polyp segmentation via contour region analysis. Computers in Biology and Medicine. 100. 152–164. 45 indexed citations
16.
Montoya, Olga Lucía Quintero, et al.. (2018). LAGUERRE-GAUSS FILTERS IN REVERSE TIME MIGRATION IMAGE RECONSTRUCTION. Brazilian Journal of Geophysics. 35(2).
17.
Sierra-Sosa, Daniel, et al.. (2017). Pressure ulcer image segmentation technique through synthetic frequencies generation and contrast variation using toroidal geometry. BioMedical Engineering OnLine. 16(1). 4–4. 20 indexed citations
18.
Sierra-Sosa, Daniel, et al.. (2016). Laguerre Gaussian filters in Reverse Time Migration image reconstruction. 1–6. 1 indexed citations
19.
Sierra-Sosa, Daniel, et al.. (2013). In-plane displacement measurement in vortex metrology by synthetic network correlation fringes. Journal of the Optical Society of America A. 30(3). 462–462. 2 indexed citations
20.
Sierra-Sosa, Daniel, et al.. (2012). Vortex metrology using Fourier analysis techniques: vortex networks correlation fringes. Applied Optics. 51(30). 7411–7411. 1 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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