José Martínez-Carranza

1.5k citations
105 papers · 974 indexed · h-index 16
Topics
Robotics and Sensor-Based Localization (44 papers)Advanced Image and Video Retrieval Techniques (24 papers)Robotic Path Planning Algorithms (22 papers)

In The Last Decade

José Martínez-Carranza

101 papers receiving 933 citations

Peers

José Martínez-Carranza
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 498
  • Aerospace Engineering 426
  • Artificial Intelligence 167
  • Control and Systems Engineering 121
  • Electrical and Electronic Engineering 89
Replace Henri Rebecq with:
Henri Rebecq Switzerland
Jonathan Ko United States
Elias Mueggler Switzerland
Alex Zihao Zhu United States
Jilin Liu China
Yasuhiro Mukaigawa Japan
Sergi Foix Spain
Randall C. Smith United States
René Ranftl Switzerland
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José Martínez-Carranza relative to Henri Rebecq Switzerland Henri Rebecq's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
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8 12
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11 25
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13 2
14 3
15 15
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19
International Conference on Robotics and Automation (ICRA)
59
20
A new foveal Cartesian geometry approach used for object tracking
5

About José Martínez-Carranza

José Martínez-Carranza is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Instrumentation, having authored 105 papers that have together received 974 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (44 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Robotic Path Planning Algorithms (22 papers). The work is most often cited by research in Acoustics and Ultrasonics (60 citations), Computer Vision and Pattern Recognition (498 citations) and Aerospace Engineering (426 citations). José Martínez-Carranza has collaborated with scholars based in Mexico, United Kingdom and United States. Frequent 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. Their work appears in journals such as IEEE Access, Sensors and International Journal of Remote Sensing.

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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