Germán Ros

3.3k total citations · 1 hit paper
12 papers, 1.7k citations indexed

About

Germán Ros is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Germán Ros has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Media Technology. Recurrent topics in Germán Ros's work include Video Surveillance and Tracking Methods (6 papers), Advanced Vision and Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Germán Ros is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Advanced Vision and Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Germán Ros collaborates with scholars based in Spain, United States and United Kingdom. Germán Ros's co-authors include Antonio M. López, David Vázquez, Joanna Materzyńska, Pablo F. Alcantarilla, Riccardo Gherardi, Roberto Arroyo, Simon Stent, Sebastian Ramos, Amir Hoshang Bakhtiary and José M. Alvarez and has published in prestigious journals such as Neurocomputing, Image and Vision Computing and Autonomous Robots.

In The Last Decade

Germán Ros

12 papers receiving 1.7k citations

Hit Papers

The SYNTHIA Dataset: A Large Collection of Synthetic Imag... 2016 2026 2019 2022 2016 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Germán Ros Spain 6 1.3k 609 269 230 154 12 1.7k
Changqian Yu China 11 1.8k 1.4× 657 1.1× 349 1.3× 153 0.7× 103 0.7× 18 2.4k
Zhuliang Yao China 8 1.6k 1.2× 752 1.2× 375 1.4× 156 0.7× 83 0.5× 9 2.5k
Jingbo Wang China 10 1.6k 1.2× 507 0.8× 318 1.2× 144 0.6× 57 0.4× 22 2.1k
Xuran Pan China 11 989 0.8× 331 0.5× 313 1.2× 256 1.1× 49 0.3× 16 1.7k
Malik United States 8 2.0k 1.6× 528 0.9× 408 1.5× 181 0.8× 56 0.4× 26 2.5k
Zhaowei Cai United States 9 1.6k 1.3× 588 1.0× 207 0.8× 260 1.1× 152 1.0× 15 2.2k
Pengfei Chen China 10 994 0.8× 340 0.6× 302 1.1× 130 0.6× 55 0.4× 18 1.6k
Zehua Huang China 13 991 0.8× 334 0.5× 304 1.1× 102 0.4× 63 0.4× 16 1.8k
Sixiao Zheng China 3 1.6k 1.3× 707 1.2× 489 1.8× 143 0.6× 38 0.2× 5 2.4k
Kuiyuan Yang China 18 1.8k 1.4× 643 1.1× 323 1.2× 156 0.7× 41 0.3× 45 2.3k

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-authorship network of co-authors of Germán Ros

This figure shows the co-authorship network connecting the top 25 collaborators of Germán Ros. A scholar is included among the top collaborators of Germán Ros 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 Germán Ros. Germán Ros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ros, Germán, et al.. (2025). All for one, and one for all: UrbanSyn Dataset, the third Musketeer of synthetic driving scenes. Neurocomputing. 637. 130038–130038. 2 indexed citations
2.
Ummenhofer, Benjamin, Yixing Lao, Kai Zhang, et al.. (2024). Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 137–147. 3 indexed citations
3.
Alcantarilla, Pablo F., Simon Stent, Germán Ros, Roberto Arroyo, & Riccardo Gherardi. (2018). Street-view change detection with deconvolutional networks. Autonomous Robots. 42(7). 1301–1322. 227 indexed citations
4.
López, Antonio M., et al.. (2017). Training my car to see using virtual worlds. Image and Vision Computing. 68. 102–118. 6 indexed citations
5.
Amutha, R., et al.. (2017). Robust object tracking using sparse based representative dictionary learning. 37. 102–107. 1 indexed citations
6.
Ros, Germán, et al.. (2016). The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. 3234–3243. 1338 indexed citations breakdown →
7.
Alcantarilla, Pablo F., Simon Stent, Germán Ros, Roberto Arroyo, & Riccardo Gherardi. (2016). Street-View Change Detection with Deconvolutional Networks. 44 indexed citations
8.
Ros, Germán & José M. Alvarez. (2015). Unsupervised image transformation for outdoor semantic labelling. 537–542. 21 indexed citations
9.
Ros, Germán, et al.. (2015). Vision-Based Offline-Online Perception Paradigm for Autonomous Driving. 231–238. 81 indexed citations
10.
Ros, Germán, Julio Guerrero, Ángel D. Sappa, Daniel Ponsa, & Antonio M. López. (2013). VSLAM pose initialization via Lie groups and Lie algebras optimization. 5740–5747. 3 indexed citations
11.
Ros, Germán, Ángel D. Sappa, Daniel Ponsa, Antonio M. López, & Julio Guerrero. (2013). Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios. 86.1–86.11. 1 indexed citations
12.
Ros, Germán, Jesús Martínez del Rincón, & Ginés Garcı́a-Mateos. (2012). Articulated particle filter for hand tracking. Research Repository (Kingston University London). 3 indexed citations

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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