Miguel Cazorla

3.0k citations
136 papers · 1.7k · h-index 22

Impact in

    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
  • Geology top 2%
    • 3D Surveying and Cultural Heritage

Papers in

    • Advanced Image and Video Retrieval Techniques 27
    • Advanced Vision and Imaging 23
    • Advanced Neural Network Applications 15
    • Video Surveillance and Tracking Methods 12
    • Human Pose and Action Recognition 10
    • Robotic Path Planning Algorithms 9
    • Robotics and Sensor-Based Localization 48

Miguel Cazorla

125 papers receiving 1.6k citations

Peers

Miguel Cazorla
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 775
  • Geology 199
  • Human-Computer Interaction 174
  • Computer Graphics and Computer-Aided Design 56
  • Aerospace Engineering 327
Replace Κωνσταντίνος Μουστάκας with:
Κωνσταντίνος Μουστάκας Greece
Haiwei Dong Canada
Hubert P. H. Shum United Kingdom
Caroline Pantofaru United States
Ville Kyrki Finland
Lap-Fai Yu United States
Horst–Michael Groß Germany
Hamed Pirsiavash United States
Verônica Teichrieb Brazil
Markus Vincze Austria
Miguel Cazorla relative to Κωνσταντίνος Μουστάκας Greece Κωνσταντίνος Μουστάκας's profile →
Citations per field
00.5×4.6×
Κωνσταντίνος Μουστάκας · 1×
Citations per year

Countries citing papers authored by Miguel Cazorla

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Cazorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Cazorla. 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 Miguel Cazorla. The network helps show where Miguel Cazorla may publish in the future.

Co-authors

The 25 scholars most cited alongside Miguel Cazorla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miguel Cazorla Line = papers co-authored together Miguel Cazorla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016130
2 201863
3 202061
4 201761
5 201860
6 202060
7 201956
8 201453
9 200853
10 201853
11 201338
12 201638
13 201937
14 201735
15 201933
16 201830
17 201925
18 201425
19 201523
20 202022

About Miguel Cazorla

Miguel Cazorla is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology and Control and Systems Engineering, having authored 136 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (48 papers), Advanced Image and Video Retrieval Techniques (27 papers), Advanced Vision and Imaging (23 papers), Advanced Neural Network Applications (15 papers), 3D Surveying and Cultural Heritage (15 papers), Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (10 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (775 citations), Geology (199 citations), Human-Computer Interaction (174 citations), Computer Graphics and Computer-Aided Design (56 citations) and Aerospace Engineering (327 citations). Miguel Cazorla has collaborated with scholars based in Spain, Panama and United States. Frequent co-authors include Sergio Orts‐Escolano, José García‐Rodríguez, Francisco Gomez‐Donoso, Ester Martínez-Martín, Vicente Morell, Alberto García-García, Jorge Azorín-López, Francisco Escolano, Boyán Bonev and Jesús Martínez-Gómez. Their work appears in journals such as IEEE Access, Sensors, Computational Intelligence and Neuroscience, Applied Sciences and Pattern Recognition Letters.

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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