D.L. Vilariño

2.4k total citations · 1 hit paper
59 papers, 1.6k citations indexed

About

D.L. Vilariño is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, D.L. Vilariño has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 18 papers in Electrical and Electronic Engineering. Recurrent topics in D.L. Vilariño's work include Neural Networks Stability and Synchronization (16 papers), Neural Networks and Applications (15 papers) and Remote Sensing and LiDAR Applications (12 papers). D.L. Vilariño is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Neural Networks and Applications (15 papers) and Remote Sensing and LiDAR Applications (12 papers). D.L. Vilariño collaborates with scholars based in Spain, Chile and Hungary. D.L. Vilariño's co-authors include Francisco F. Rivera, José C. Cabaleiro, Tomás F. Pena, Jorge Martínez Sánchez, V.M. Brea, D. Cabello, Piotr Dudek, Manuel G. Penedo, Csaba Rekeczky and A.J. Nieto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.

In The Last Decade

D.L. Vilariño

56 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph-based approach for airborne light detection and ranging segmentation

2017 1.2k citations D.L. Vilariño, José C. Cabaleiro et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D.L. Vilariño Spain	13	546	283	180	170	163	59	1.6k
Birmohan Singh India	17	591 1.1×	300 1.1×	133 0.7×	134 0.8×	161 1.0×	62	1.9k
Jaesik Choi South Korea	18	996 1.8×	380 1.3×	109 0.6×	187 1.1×	120 0.7×	87	2.1k
Farid García‐Lamont Mexico	11	546 1.0×	358 1.3×	122 0.7×	119 0.7×	193 1.2×	38	1.9k
Habiboulaye Amadou Boubacar France	3	798 1.5×	477 1.7×	131 0.7×	126 0.7×	162 1.0×	6	1.8k
Francisco F. Rivera Spain	14	525 1.0×	223 0.8×	70 0.4×	275 1.6×	109 0.7×	89	1.9k
Jair Cervantes Mexico	15	688 1.3×	458 1.6×	130 0.7×	150 0.9×	210 1.3×	48	2.3k
Asdrúbal López‐Chau Mexico	12	639 1.2×	374 1.3×	108 0.6×	137 0.8×	198 1.2×	61	2.1k
Mahmoud Y. Shams Egypt	26	529 1.0×	252 0.9×	241 1.3×	93 0.5×	124 0.8×	70	1.7k
Tzu-Tsung Wong Taiwan	12	593 1.1×	191 0.7×	123 0.7×	71 0.4×	157 1.0×	19	2.2k

Countries citing papers authored by D.L. Vilariño

Since Specialization

Citations

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

Fields of papers citing papers by D.L. Vilariño

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.L. Vilariño

This figure shows the co-authorship network connecting the top 25 collaborators of D.L. Vilariño. A scholar is included among the top collaborators of D.L. Vilariño 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.L. Vilariño. D.L. Vilariño 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

Vilariño, D.L., et al.. (2024). Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing. The Journal of Supercomputing. 80(9). 13295–13316. 2 indexed citations

Osorio, Roberto R., et al.. (2023). Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL. The Journal of Supercomputing. 79(9). 9866–9888.

Rivera, Francisco F., et al.. (2021). A fast and optimal pathfinder using airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. 183. 482–495. 4 indexed citations

Rivera, Francisco F., et al.. (2017). Comparative study of building footprint estimation methods from LiDAR point clouds. 37. 28–28. 2 indexed citations

Sánchez, Jorge Martínez, et al.. (2016). Landing sites detection using LiDAR data on manycore systems. The Journal of Supercomputing. 73(1). 557–575. 14 indexed citations

Argüello, Francisco, et al.. (2014). GPU-based segmentation of retinal blood vessels. Journal of Real-Time Image Processing. 14(4). 773–782. 20 indexed citations

Nieto, A.J., D.L. Vilariño, & V.M. Brea. (2012). Feature detection and matching on an SIMD/MIMD hybrid embedded processor. 3. 21–26. 3 indexed citations

Vilariño, D.L., et al.. (2009). A pixel-parallel moving object segmentation and tracking algorithm for video surveillance applications. 22. 614–619.

Nieto, A.J., V.M. Brea, & D.L. Vilariño. (2008). SIMD array on FPGA for B/W image processing. 202–207. 6 indexed citations

10.

Penedo, Manuel G., et al.. (2008). Arteriolar-to-venular diameter ratio estimation: A pixel-parallel approach. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 35. 86–91. 2 indexed citations

11.

Ortega, Marcos, et al.. (2008). Pixel parallel vessel tree extraction for a personal authentication system. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1596–1599. 9 indexed citations

12.

Hillier, Dániel, et al.. (2006). Topographic cellular active contour techniques: theory, implementations and comparisons: Research Articles. International Journal of Circuit Theory and Applications. 34(2). 183–216. 4 indexed citations

13.

Brea, V.M., et al.. (2006). On the Reduction of the Number of Coefficient Circuits in a DTCNN Cell. 3. 1–6. 4 indexed citations

14.

Vilariño, D.L., et al.. (2005). On the Emulation of Large-Neighborhood Templates with Binary CNN-Based Architectures. 274–277. 8 indexed citations

15.

Brea, V.M., D.L. Vilariño, A. Paasio, & D. Cabello. (2004). Design of the Processing Core of a Mixed-Signal CMOS DTCNN Chip for Pixel-Level Snakes. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 51(5). 997–1013. 19 indexed citations

16.

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

17.

López, P., D.L. Vilariño, & D. Cabello. (2003). CNN-based 3D thermal modeling of the soil for antipersonnel mine detection. 307–314. 11 indexed citations

18.

Vilariño, D.L., et al.. (2002). Pixel-level snakes. 1. 640–643. 5 indexed citations

19.

López, P., Marco Balsi, D.L. Vilariño, & D. Cabello. (2002). Antipersonnel mine detection on infrared images. 109–113. 3 indexed citations

20.

Vilariño, D.L., V.M. Brea, D. Cabello, & José Manuel Pardo. (1998). Discrete-time CNN for image segmentation by active contours. Pattern Recognition Letters. 19(8). 721–734. 23 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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