Jorge Azorín-López

1.4k total citations · 1 hit paper
65 papers, 773 citations indexed

About

Jorge Azorín-López is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jorge Azorín-López has authored 65 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Aerospace Engineering. Recurrent topics in Jorge Azorín-López's work include Anomaly Detection Techniques and Applications (13 papers), Video Surveillance and Tracking Methods (12 papers) and Human Pose and Action Recognition (12 papers). Jorge Azorín-López is often cited by papers focused on Anomaly Detection Techniques and Applications (13 papers), Video Surveillance and Tracking Methods (12 papers) and Human Pose and Action Recognition (12 papers). Jorge Azorín-López collaborates with scholars based in Spain, United Kingdom and Costa Rica. Jorge Azorín-López's co-authors include José García‐Rodríguez, Andrés Fuster-Guilló, Marcelo Saval-Calvo, Sergio Orts‐Escolano, Miguel Cazorla, Higinio Mora, Alberto García-García, David Gil, Julian Szymański and Francisco Gomez‐Donoso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Jorge Azorín-López

58 papers receiving 751 citations

Hit Papers

A Comprehensive Review of AI-Based Digital Twin Applicati... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Azorín-López Spain 15 339 123 101 97 96 65 773
Lingfeng Yang China 13 328 1.0× 155 1.3× 25 0.2× 61 0.6× 140 1.5× 32 801
Francesco Picariello Italy 18 180 0.5× 45 0.4× 262 2.6× 53 0.5× 127 1.3× 105 1.1k
Jingjing Meng United States 17 999 2.9× 156 1.3× 176 1.7× 108 1.1× 185 1.9× 44 1.6k
Rohit Girdhar United States 13 794 2.3× 388 3.2× 70 0.7× 120 1.2× 149 1.6× 19 1.2k
Soon Ki Jung South Korea 18 1.0k 3.0× 178 1.4× 73 0.7× 68 0.7× 114 1.2× 106 1.5k
Pier Luigi Mazzeo Italy 19 577 1.7× 228 1.9× 46 0.5× 29 0.3× 49 0.5× 64 1.3k
Patrik Kamencay Slovakia 16 429 1.3× 160 1.3× 75 0.7× 28 0.3× 26 0.3× 92 780
Dimitrios Kosmopoulos Greece 22 579 1.7× 385 3.1× 131 1.3× 41 0.4× 33 0.3× 81 1.2k
Miguel Ángel Bautista Spain 13 324 1.0× 232 1.9× 68 0.7× 35 0.4× 35 0.4× 17 735

Countries citing papers authored by Jorge Azorín-López

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Azorín-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Azorín-López. 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 Jorge Azorín-López. The network helps show where Jorge Azorín-López may publish in the future.

Co-authorship network of co-authors of Jorge Azorín-López

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Azorín-López. A scholar is included among the top collaborators of Jorge Azorín-López 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 Jorge Azorín-López. Jorge Azorín-López 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.
García‐Rodríguez, José, et al.. (2025). A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions. Electronics. 14(4). 646–646. 19 indexed citations breakdown →
2.
Mora, Higinio, et al.. (2025). Detecting Abnormal Behavior Events and Gatherings in Public Spaces Using Deep Learning: A Review. Journal of Sensor and Actuator Networks. 14(4). 69–69.
3.
Pujol, Francisco A., et al.. (2025). Decentralized Identity Management for Internet of Things (IoT) Devices Using IOTA Blockchain Technology. Future Internet. 17(1). 49–49. 3 indexed citations
4.
Jimeno-Morenilla, Antonio, et al.. (2025). AI edge cloud service provisioning for knowledge management smart applications. Scientific Reports. 15(1). 32246–32246.
5.
Mora, Higinio, et al.. (2024). Automated anthropometric measurements from 3D point clouds of scanned bodies. Image and Vision Computing. 152. 105306–105306. 1 indexed citations
6.
García‐Rodríguez, José, Jorge Azorín-López, Esther Sebastián‐González, et al.. (2024). A Video Mosaicing-Based Sensing Method for Chicken Behavior Recognition on Edge Computing Devices. Sensors. 24(11). 3409–3409. 5 indexed citations
7.
Climent-Pérez, Pau, et al.. (2024). Simultaneous, vision-based fish instance segmentation, species classification and size regression. PeerJ Computer Science. 10. e1770–e1770.
8.
Villalonga, Claudia, et al.. (2023). Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review. Lecture notes in computer science. 254–265.
9.
Azorín-López, Jorge, et al.. (2023). Anomaly detection and virtual reality visualisation in supercomputers. The International Journal of Advanced Manufacturing Technology. 133(1-2). 935–947. 3 indexed citations
10.
Azorín-López, Jorge, et al.. (2023). Visual analysis of fatigue in Industry 4.0. The International Journal of Advanced Manufacturing Technology. 133(1-2). 959–970. 5 indexed citations
11.
Fuster-Guilló, Andrés, et al.. (2020). RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. Sensors. 20(13). 3690–3690. 6 indexed citations
12.
Fuster-Guilló, Andrés, et al.. (2019). Evaluating Impact on Motivation and Academic Performance of a Game-Based Learning Experience Using Kahoot. Frontiers in Psychology. 10. 2843–2843. 65 indexed citations
13.
Saval-Calvo, Marcelo, Jorge Azorín-López, Andrés Fuster-Guilló, Víctor Villena-Martínez, & Robert B. Fisher. (2018). 3D non-rigid registration using color: Color Coherent Point Drift. Computer Vision and Image Understanding. 169. 119–135. 15 indexed citations
14.
Azorín-López, Jorge, Jose Garcia-Rodriguez, Antonio Jimeno-Morenilla, et al.. (2017). TEACHING AND LEARNING METHODOLOGIES FOR PRACTICAL ASSIGNMENTS APPLIED TO SMALL GROUPS OF SPANISH TOP-MARK STUDENTS. INTED proceedings. 1. 6825–6834. 1 indexed citations
15.
Azorín-López, Jorge, Marcelo Saval-Calvo, Andrés Fuster-Guilló, José García‐Rodríguez, & Higinio Mora. (2016). Constrained self-organizing feature map to preserve feature extraction topology. Neural Computing and Applications. 28(S1). 439–459. 6 indexed citations
16.
Azorín-López, Jorge, Marcelo Saval-Calvo, Andrés Fuster-Guilló, et al.. (2016). Group activity description and recognition based on trajectory analysis and neural networks. 1585–1592. 14 indexed citations
17.
Azorín-López, Jorge, Marcelo Saval-Calvo, Andrés Fuster-Guilló, José García‐Rodríguez, & Sergio Orts‐Escolano. (2015). Self-Organizing Activity Description Map to represent and classify human behaviour. 1–7. 5 indexed citations
18.
Saval-Calvo, Marcelo, Jorge Azorín-López, Andrés Fuster-Guilló, & José García‐Rodríguez. (2015). Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC. Applied Soft Computing. 34. 572–586. 19 indexed citations
19.
Azorín-López, Jorge, et al.. (2014). A predictive model for recognizing human behaviour based on trajectory representation. 1494–1501. 13 indexed citations
20.
Orts‐Escolano, Sergio, José García‐Rodríguez, Vicente Morell, et al.. (2014). Parallel Computational Intelligence-Based Multi-Camera Surveillance System. Journal of Sensor and Actuator Networks. 3(2). 95–112. 2 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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