D. Cabello

1.4k total citations
108 papers, 947 citations indexed

About

D. Cabello is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, D. Cabello has authored 108 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 30 papers in Artificial Intelligence and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in D. Cabello's work include CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (18 papers) and Neural Networks and Applications (18 papers). D. Cabello is often cited by papers focused on CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (18 papers) and Neural Networks and Applications (18 papers). D. Cabello collaborates with scholars based in Spain, Germany and Chile. D. Cabello's co-authors include V.M. Brea, P. López, A. Mosquera, Marı́a J. Carreira, Manuel G. Penedo, R. Ruı́z, Senén Barro, D.L. Vilariño, José Mira and Xosé M. Pardo and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Medical Imaging.

In The Last Decade

D. Cabello

97 papers receiving 887 citations

Peers

D. Cabello
D. Cabello
Citations per year, relative to D. Cabello D. Cabello (= 1×) peers Yaqin Zhao

Countries citing papers authored by D. Cabello

Since Specialization
Citations

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

Fields of papers citing papers by D. Cabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Cabello

This figure shows the co-authorship network connecting the top 25 collaborators of D. Cabello. A scholar is included among the top collaborators of D. Cabello 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 D. Cabello. D. Cabello 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.
Sánchez, M., et al.. (2025). A Security Analysis of European Data Space Architectures. Data Science and Engineering.
2.
López, P., et al.. (2024). Live Demonstration: 5-bit signed SRAM-based DNN CIM for Image Recognition. 1–1. 1 indexed citations
3.
Moral, Juan, D. Cabello, José Oteros, et al.. (2023). Pollen production in olive cultivars and its interannual variability. Annals of Botany. 132(6). 1145–1158. 4 indexed citations
4.
Brea, V.M., et al.. (2022). Design of a 5-bit Signed SRAM-based In-Memory Computing Cell for Deep Learning Models. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 702–706. 3 indexed citations
6.
López, P., et al.. (2019). Ultralow power voltage reference circuit for implantable devices in standard CMOS technology. International Journal of Circuit Theory and Applications. 47(7). 991–1005. 6 indexed citations
8.
Doménech‐Asensi, Ginés, et al.. (2014). Simplification and hardware implementation of the feature descriptor vector calculation in the SIFT algorithm. 1–4. 3 indexed citations
9.
Brea, V.M., et al.. (2014). Gaussian pyramid extraction with a CMOS vision sensor. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–2. 1 indexed citations
10.
11.
Brea, V.M., et al.. (2013). A 176×120 pixel CMOS vision chip for Gaussian filtering with massivelly Parallel CDS and A/D-conversion. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–4. 1 indexed citations
12.
Pardo, F., P. López, D. Cabello, & Marco Balsi. (2009). FPGA computation of the 3D heat equation. Computational Geosciences. 14(4). 649–664. 1 indexed citations
13.
López, P., et al.. (2008). A dcIVmodel for short‐channel polygonal enclosed‐layout transistors. International Journal of Circuit Theory and Applications. 37(2). 163–177. 2 indexed citations
14.
López, P., Hichem Sahli, & D. Cabello. (2003). Detection and classification of landmines from infrared images. VUBIR (Vrije Universiteit Brussel). 4 indexed citations
15.
López, P., Hichem Sahli, D.L. Vilariño, & D. Cabello. (2003). A Target Identification Procedure for the Detection and Classification of Landmines from IR Images. VUBIR (Vrije Universiteit Brussel). 1 indexed citations
16.
Pardo, Xosé M., Petia Radeva, & D. Cabello. (2003). Discriminant snakes for 3D reconstruction of anatomical organs. Medical Image Analysis. 7(3). 293–310. 8 indexed citations
17.
Cabello, D., et al.. (1998). A Markov random field model for bony tissue classification. Computerized Medical Imaging and Graphics. 22(2). 169–178. 2 indexed citations
18.
Carreira, Marı́a J., D. Cabello, Manuel G. Penedo, & A. Mosquera. (1998). Computer‐aided diagnoses: Automatic detection of lung nodules. Medical Physics. 25(10). 1998–2006. 35 indexed citations
19.
Cabello, D., et al.. (1991). Fuzzy K-nearest neighbor classifiers for ventricular arrhythmia detection. International Journal of Bio-Medical Computing. 27(2). 77–93. 24 indexed citations
20.
Cabello, D., et al.. (1989). Técnicas estadísticas para diagnóstico de arritmias ventriculares. 22(4). 45–52. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026