J.R. Llata

790 total citations · 1 hit paper
38 papers, 560 citations indexed

About

J.R. Llata is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, J.R. Llata has authored 38 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 8 papers in Aerospace Engineering. Recurrent topics in J.R. Llata's work include Robotics and Sensor-Based Localization (8 papers), Water Quality Monitoring Technologies (5 papers) and 3D Surveying and Cultural Heritage (4 papers). J.R. Llata is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Water Quality Monitoring Technologies (5 papers) and 3D Surveying and Cultural Heritage (4 papers). J.R. Llata collaborates with scholars based in Spain, United Kingdom and Ecuador. J.R. Llata's co-authors include Carlos Torre‐Ferrero, Victor M. Becerra, Juan Pérez-Oria, Esther Gonzalez‐Sarabia, J. Arce, Ramón Sancibrián, Carlos Redondo‐Figuero, José T. San-José, Raúl Guanche and J. Blanco and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

J.R. Llata

35 papers receiving 536 citations

Hit Papers

Working Together: A Review on Safe Human-Robot Collaborat... 2017 2026 2020 2023 2017 100 200 300 400
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.

  1. Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments
    2017 407 citations Victor M. Becerra, J.R. Llata et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.R. Llata Spain 8 232 143 116 90 76 38 560
Carlos Torre‐Ferrero Spain 7 227 1.0× 135 0.9× 132 1.1× 101 1.1× 84 1.1× 18 570
Qi Zhu United States 13 152 0.7× 97 0.7× 60 0.5× 68 0.8× 101 1.3× 55 639
Jeremy A. Marvel United States 14 475 2.0× 308 2.2× 148 1.3× 189 2.1× 118 1.6× 68 841
Petr Novák Czechia 12 187 0.8× 94 0.7× 80 0.7× 131 1.5× 53 0.7× 32 587
Junming Fan Hong Kong 14 212 0.9× 262 1.8× 64 0.6× 217 2.4× 55 0.7× 24 652
Fouad Bennis France 18 237 1.0× 211 1.5× 267 2.3× 33 0.4× 213 2.8× 56 945
Hao Ding China 14 628 2.7× 216 1.5× 235 2.0× 170 1.9× 111 1.5× 49 969
Jérémie Guiochet France 10 279 1.2× 62 0.4× 321 2.8× 64 0.7× 100 1.3× 26 779
Luís F. Rocha Portugal 15 204 0.9× 225 1.6× 96 0.8× 212 2.4× 14 0.2× 57 637
Abdel‐Nasser Sharkawy Egypt 11 281 1.2× 25 0.2× 137 1.2× 59 0.7× 46 0.6× 58 549

Countries citing papers authored by J.R. Llata

Since Specialization
Citations

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

Fields of papers citing papers by J.R. Llata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.R. Llata. 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 J.R. Llata. The network helps show where J.R. Llata may publish in the future.

Co-authorship network of co-authors of J.R. Llata

This figure shows the co-authorship network connecting the top 25 collaborators of J.R. Llata. A scholar is included among the top collaborators of J.R. Llata 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 J.R. Llata. J.R. Llata 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.
Llata, J.R., et al.. (2024). Optimization of Q and R Matrices with Genetic Algorithms to Reduce Oscillations in a Rotary Flexible Link System. Robotics. 13(6). 84–84. 1 indexed citations
2.
Llata, J.R., et al.. (2024). Experiment design for model basin tests with a remotely operated vehicle. Ocean Engineering. 307. 118215–118215. 1 indexed citations
3.
Becerra, Victor M., et al.. (2023). L1 Adaptive Control for Marine Structures. Mathematics. 11(16). 3554–3554.
4.
Sancibrián, Ramón, et al.. (2023). Feasibility of an Exoskeleton Armrest to Improve Ergonomics during Endoscopic Sinus and Skull Base Surgery. The Laryngoscope. 134(1). 79–86. 3 indexed citations
5.
Llata, J.R., et al.. (2021). LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter. Sensors. 21(19). 6496–6496. 5 indexed citations
6.
Llata, J.R., et al.. (2021). Dynamic positioning of floating caissons based on the UKF filter under external perturbances induced by waves. Ocean Engineering. 235. 109055–109055. 3 indexed citations
7.
Sancibrián, Ramón, et al.. (2019). DESIGN BY ANALOGY IN ENGINEERING EDUCATION: A METHOD TO IMPROVE CREATIVE IDEAS. INTED proceedings. 1. 6268–6274. 2 indexed citations
8.
Sancibrián, Ramón, et al.. (2019). Using infrared imaging for assessment of muscular activity in the forearm of surgeons in the performance of laparoscopic tasks. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 233(10). 999–1009. 3 indexed citations
9.
Torre‐Ferrero, Carlos, et al.. (2009). A similarity measure for 3D rigid registration of point clouds using image-based descriptors with low overlap. 2. 71–78. 8 indexed citations
10.
Torre‐Ferrero, Carlos, et al.. (2008). A coarse-to-fine algorithm for 3D registration based on wavelet decomposition. International Conference on Systems. 7(7). 655–664. 1 indexed citations
11.
Torre‐Ferrero, Carlos, et al.. (2007). 3D registration by using an alternative 3D shape representation. International Conference on Signal Processing. 101–106. 1 indexed citations
12.
Torre‐Ferrero, Carlos, et al.. (2006). CIRCON: An Alternative 3D Shape Representation for Surface Matching. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society. 3320–3323. 3 indexed citations
13.
14.
Llata, J.R., et al.. (2002). Three-Dimensional Robotic Vision Using Ultrasonic Sensors. Journal of Intelligent & Robotic Systems. 33(3). 267–284. 5 indexed citations
15.
Arce, J., et al.. (2002). Automatic fault detection using ultrasonic techniques: expert system vs. signal processing. 2. 558–563. 2 indexed citations
16.
Llata, J.R., et al.. (2002). Probabilistic expert systems for shape recognition applied to ultrasonics techniques. 158–163. 5 indexed citations
17.
Llata, J.R., et al.. (2001). Fuzzy expert system with double knowledge base for ultrasonic classification. Expert Systems with Applications. 20(4). 347–355. 14 indexed citations
18.
Llata, J.R., et al.. (2000). Aplicacion de Inteligencia Artificial en Sistemas Automatizados de Produccion. INTELIGENCIA ARTIFICIAL. 4(10). 2 indexed citations
19.
Llata, J.R., et al.. (1999). Ultrasonic Robotic Vision Using Fuzzy Logic for Surface Reconstruction. IFAC Proceedings Volumes. 32(2). 8480–8485.
20.
Llata, J.R., et al.. (1998). Three Dimensional Ultrasonic Vision of Surfaces for Robotic Applications. IFAC Proceedings Volumes. 31(3). 459–464. 8 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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