José Martínez-Carranza

1.5k total citations
105 papers, 974 citations indexed

About

José Martínez-Carranza is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, José Martínez-Carranza has authored 105 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 52 papers in Aerospace Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in José Martínez-Carranza's work include Robotics and Sensor-Based Localization (44 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Robotic Path Planning Algorithms (22 papers). José Martínez-Carranza is often cited by papers focused on Robotics and Sensor-Based Localization (44 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Robotic Path Planning Algorithms (22 papers). José Martínez-Carranza collaborates with scholars based in Mexico, United Kingdom and United States. José Martínez-Carranza's co-authors include Andrew Calway, Walterio Mayol‐Cuevas, Gustavo Rodríguez‐Gómez, Caleb Rascón, René Cumplido, Israel Cruz-Vega, Jose Rangel‐Magdaleno, Alicia Morales-Reyes, Daniel Durini and Eduardo F. Morales and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Remote Sensing.

In The Last Decade

José Martínez-Carranza

101 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Martínez-Carranza Mexico 16 498 426 167 121 89 105 974
René Ranftl Switzerland 15 1.6k 3.3× 455 1.1× 231 1.4× 178 1.5× 185 2.1× 25 2.3k
Jonathan Ko United States 16 442 0.9× 482 1.1× 393 2.4× 410 3.4× 242 2.7× 44 1.5k
Alex Zihao Zhu United States 7 502 1.0× 344 0.8× 173 1.0× 39 0.3× 546 6.1× 13 1.1k
Henri Rebecq Switzerland 15 805 1.6× 650 1.5× 210 1.3× 50 0.4× 1.0k 11.5× 19 1.8k
Sergi Foix Spain 12 341 0.7× 133 0.3× 39 0.2× 67 0.6× 84 0.9× 22 799
Elias Mueggler Switzerland 17 687 1.4× 712 1.7× 147 0.9× 120 1.0× 739 8.3× 22 1.5k
Jilin Liu China 15 521 1.0× 278 0.7× 32 0.2× 18 0.1× 111 1.2× 94 849
Tae-Hyun Oh South Korea 20 1.0k 2.1× 209 0.5× 264 1.6× 32 0.3× 68 0.8× 80 1.4k
Hendrik P. A. Lensch Germany 31 2.2k 4.4× 225 0.5× 71 0.4× 64 0.5× 99 1.1× 142 3.0k
Miaomiao Liu China 21 1.3k 2.6× 199 0.5× 165 1.0× 189 1.6× 82 0.9× 67 1.6k

Countries citing papers authored by José Martínez-Carranza

Since Specialization
Citations

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

Fields of papers citing papers by José Martínez-Carranza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Martínez-Carranza. 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 José Martínez-Carranza. The network helps show where José Martínez-Carranza may publish in the future.

Co-authorship network of co-authors of José Martínez-Carranza

This figure shows the co-authorship network connecting the top 25 collaborators of José Martínez-Carranza. A scholar is included among the top collaborators of José Martínez-Carranza 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 José Martínez-Carranza. José Martínez-Carranza 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.
Martínez-Carranza, José, et al.. (2025). Unmanned aerial systems in search and rescue: A global perspective on current challenges and future applications. International Journal of Disaster Risk Reduction. 118. 105199–105199. 8 indexed citations
2.
Durini, Daniel, et al.. (2025). ViT-Based Classification and Self-Supervised 3D Human Mesh Generation from NIR Single-Pixel Imaging. Applied Sciences. 15(11). 6138–6138.
3.
Martínez-Carranza, José, et al.. (2024). Improving NIR single-pixel imaging: using deep image prior and GANs. Journal of the Optical Society of America A. 42(2). 201–201. 1 indexed citations
4.
Martínez-Carranza, Juan, Juan Martínez-Carranza, José Martínez-Carranza, José Martínez-Carranza, & Tomasz Kozacki. (2024). Efficient point cloud occlusion method for ultra wide-angle computer-generated holograms. Optics and Lasers in Engineering. 184. 108678–108678.
5.
Martínez-Carranza, José, et al.. (2024). Physics-Informed Machine Learning for UAV Control. 1–6.
6.
Martínez-Carranza, José, et al.. (2023). DeepPilot4Pose: a fast pose localisation for MAV indoor flight using the OAK-D camera. Journal of Real-Time Image Processing. 20(1). 2 indexed citations
7.
Rodríguez‐Gómez, Gustavo, et al.. (2023). Control of a Spherical Robot Rolling Over Irregular Surfaces. ZooKeys. 1 indexed citations
8.
Durini, Daniel, et al.. (2022). Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions. Micromachines. 13(5). 795–795. 12 indexed citations
9.
Murguía, J.S., et al.. (2022). Texture and Materials Image Classification Based on Wavelet Pooling Layer in CNN. Applied Sciences. 12(7). 3592–3592. 9 indexed citations
10.
Durini, Daniel, et al.. (2021). Single-pixel imaging: An overview of different methods to be used for 3D space reconstruction in harsh environments. Review of Scientific Instruments. 92(11). 111501–111501. 25 indexed citations
11.
Rangel‐Magdaleno, Jose, et al.. (2021). Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras. 1–5. 2 indexed citations
12.
Martínez-Carranza, José, et al.. (2019). Depth Estimation Using Optical Flow and CNN for the NAO Robot. Research in Computing Science. 148(11). 49–58. 2 indexed citations
13.
Martínez-Carranza, José, et al.. (2019). Towards Aerial Interaction of MAVs in GPS-Denied Environments. 92. 113–121. 3 indexed citations
14.
Martínez-Carranza, José, et al.. (2019). Overcoming the Blind Spot in CNN-based Gate Detection for Autonomous Drone Racing. 253–259. 4 indexed citations
15.
Martínez-Carranza, José, et al.. (2016). Detección de obstáculos durante vuelo autónomo de drones utilizando SLAM monocular. Research in Computing Science. 114(1). 111–124. 1 indexed citations
16.
Martínez-Carranza, José, Andrew Calway, & Walterio Mayol‐Cuevas. (2013). Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. 77 indexed citations
17.
Martínez-Carranza, José & Andrew Calway. (2012). International Conference on Robotics and Automation (ICRA). International Conference on Robotics and Automation. 59 indexed citations
18.
Martínez-Carranza, José & Leopoldo Altamirano-Robles. (2006). A new foveal Cartesian geometry approach used for object tracking. International Conference on Signal Processing. 133–139. 5 indexed citations
19.
Martínez-Carranza, José & Leopoldo Altamirano-Robles. (2006). FPGA-based Pipeline Architecture to Transform Cartesian Images into Foveal Images by Using a new Foveation Approach. 1. 1–10. 8 indexed citations
20.
Martínez-Carranza, José, et al.. (2005). Fast extraction of adaptive multiresolution meshes with guaranteed properties from volumetric data. 295–565. 12 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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