Daniel Ponsa

1.8k citations
32 papers · 986 · 1 hit paper · h-index 14

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Advanced Vision and Imaging
    • Human Pose and Action Recognition
    • Robotics and Sensor-Based Localization

Papers in

Daniel Ponsa

30 papers receiving 952 citations

Daniel Ponsa's Hit Papers

Learning local feature descriptors with triplets and shallow convolutional neural networks 2016 · 323 citations
3230+3+6Years since publication100200300

Peers

Daniel Ponsa
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 812
  • Aerospace Engineering 322
  • Automotive Engineering 114
  • Media Technology 72
  • Artificial Intelligence 199
Replace Xingyu Zeng with:
Xingyu Zeng Hong Kong
Heinz Hertlein United Kingdom
Danda Pani Paudel Switzerland
Fatma Güney Türkiye
Peiyun Hu United States
Yeqiang Qian China
Michael D. Breitenstein Switzerland
François Rameau South Korea
Yuning Chai United States
Pengpeng Liang China
Daniel Ponsa relative to Xingyu Zeng Hong Kong Xingyu Zeng's profile →
Citations per field
00.5×1.5×
Xingyu Zeng · 1×
Citations per year

Countries citing papers authored by Daniel Ponsa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ponsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Ponsa, 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 Daniel Ponsa Line = papers co-authored together Daniel Ponsa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning local feature descriptors with triplets and shallow convolutional neural networks
Hit paper breakdown →
2016323
2 2019162
3 2013107
4 201047
5 200547
6 200846
7 201433
8 201130
9 201029
10
Unsupervised domain adaptation of virtual and real worlds for pedestrian detection
201223
11 200520
12 200915
13 200314
14 202213
15 201312
16 20199
17 20108
18 20118
19 20097
20 20106

About Daniel Ponsa

Daniel Ponsa is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Artificial Intelligence and Ocean Engineering, having authored 32 papers that have together received 986 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers), Advanced Neural Network Applications (10 papers), Autonomous Vehicle Technology and Safety (8 papers), Robotics and Sensor-Based Localization (8 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (812 citations), Aerospace Engineering (322 citations), Automotive Engineering (114 citations), Media Technology (72 citations) and Artificial Intelligence (199 citations). Daniel Ponsa has collaborated with scholars based in Spain, Egypt and United States. Frequent co-authors include Edgar Riba, Krystian Mikolajczyk, Antonio M. López, Vassileios Balntas, David Gerónimo, David Vázquez, Joan Serrat, Javier Marín, Ángel D. Sappa and Felipe Lumbreras. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Pattern Recognition and IEEE Transactions on Image Processing.

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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