Adrián Peñate-Sánchez

450 citations
23 papers · 277 · h-index 10

Impact in

    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image and Object Detection Techniques
    • Optical measurement and interference techniques
    • Advanced Neural Network Applications
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Adrián Peñate-Sánchez

20 papers receiving 266 citations

Peers

Adrián Peñate-Sánchez
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 190
  • Geology 41
  • Aerospace Engineering 172
  • Media Technology 21
  • Control and Systems Engineering 45
Replace Jan Heller with:
Jan Heller Czechia
Juil Sock United Kingdom
Chule Yang Singapore
Fulin Tang China
Yafei Hu United States
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Citations per year

Countries citing papers authored by Adrián Peñate-Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Peñate-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián Peñate-Sánchez. 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 Adrián Peñate-Sánchez. The network helps show where Adrián Peñate-Sánchez may publish in the future.

Co-authors

The 25 scholars most cited alongside Adrián Peñate-Sánchez, 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 Adrián Peñate-Sánchez Line = papers co-authored together Adrián Peñate-Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013102
2 201533
3 201931
4 201621
5 201516
6 201812
7 201710
8 202010
9 201510
10 20219
11 20237
12 20232
13 20202
14 20212
15 20232
16 20242
17 20142
18
SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation.
20191
19 20221
20 20231

About Adrián Peñate-Sánchez

Adrián Peñate-Sánchez is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Control and Systems Engineering and Aquatic Science, having authored 23 papers that have together received 277 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image and Object Detection Techniques (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Geology (41 citations), Aerospace Engineering (172 citations), Media Technology (21 citations) and Control and Systems Engineering (45 citations). Adrián Peñate-Sánchez has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Francesc Moreno-Noguer, Juan Andrade‐Cetto, Christopher Zach, Maurice Fallon, Minh-Tri Pham, Lorenzo Porzi, Elisa Ricci, Javier Lorenzo-Navarro, Lourdes Agapito and Modesto Castrillón-Santana. Their work appears in journals such as IEEE Robotics and Automation Letters, Pattern Recognition Letters, Animals, Advanced Engineering Informatics and Aquaculture Reports.

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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