Germán Ros

3.3k citations
16 papers · 2.0k · 1 hit paper · h-index 7

Impact in

    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Remote-Sensing Image Classification

Papers in

Germán Ros

16 papers receiving 1.9k citations

Germán Ros's Hit Papers

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes 2016 · 1.5k citations
1.5k0+3+6Years since publication50010001.5k

Peers

Germán Ros
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 294
  • Artificial Intelligence 695
  • Geology 93
  • Automotive Engineering 187
Replace Xuran Pan with:
Xuran Pan China
Christos Sakaridis Switzerland
Xiangtai Li China
Kuiyuan Yang China
Sixiao Zheng China
Ze Yang China
Ľubor Ladický United Kingdom
Xiaoyi Dong China
Zhiqi Li China
Dayan Guan Singapore
Germán Ros relative to Xuran Pan China Xuran Pan's profile →
Citations per field
00.5×10×20×30×40×47.3×
Xuran Pan · 1×
Citations per year

Countries citing papers authored by Germán Ros

Since Specialization
Citations

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

Fields of papers citing papers by Germán Ros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
Hit paper breakdown →
20161529
2 2018246
3 201595
4 201646
5 201523
6 202012
7 20176
8 20175
9 20155
10
Articulated particle filter for hand tracking
20124
11 20173
12 20243
13 20133
14 20242
15 20171
16 20131

About Germán Ros

Germán Ros is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Media Technology, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (294 citations), Artificial Intelligence (695 citations), Geology (93 citations) and Automotive Engineering (187 citations). Germán Ros has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include David Vázquez, Antonio M. López, Joanna Materzyńska, Riccardo Gherardi, Pablo F. Alcantarilla, Simon Stent, Roberto Arroyo, Sebastian Ramos, Amir Hoshang Bakhtiary and Jose M. Álvarez. Their work appears in journals such as Advances in computer vision and pattern recognition, Autonomous Robots, Image and Vision Computing, Lecture notes in computer science and Lecture notes in mobility.

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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