Sebastian Ramos
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Aerospace Engineering top 1%
- Automotive Engineering top 1%
- Media Technology top 0.5%
- Co-authors
- Uwe FrankeMarkus EnzweilerMohamed OmranStefan RothRodrigo BenensonBernt SchieleMarius CordtsTimo Rehfeld
- Topics
- Advanced Neural Network Applications (8 papers)Video Surveillance and Tracking Methods (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionLirias (KU Leuven)
- Partner nations
- SpainGermanySwitzerland
In The Last Decade
Sebastian Ramos
12 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 5.9k
- Artificial Intelligence 2.5k
- Aerospace Engineering 775
- Automotive Engineering 765
- Media Technology 676
Countries citing papers authored by Sebastian Ramos
This map shows the geographic impact of Sebastian Ramos'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 Sebastian Ramos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Ramos more than expected).
Fields of papers citing papers by Sebastian Ramos
This network shows the impact of papers produced by Sebastian Ramos. 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 Sebastian Ramos. The network helps show where Sebastian Ramos may publish in the future.
Co-authorship network of co-authors of Sebastian Ramos
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Ramos. A scholar is included among the top collaborators of Sebastian Ramos 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 Sebastian Ramos. Sebastian Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | The Cityscapes Dataset for Semantic Urban Scene Understandingbreakdown → | 6909 |
| 3 | 19 | |
| 4 | 81 | |
| 5 | The Cityscapes Dataset | 63 |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 71 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 17 | |
| 12 | 8 |
About Sebastian Ramos
Sebastian Ramos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, having authored 12 papers that have together received 7.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Artificial Intelligence (2.5k citations) and Media Technology (676 citations). Sebastian Ramos has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include Uwe Franke, Markus Enzweiler, Mohamed Omran, Stefan Roth, Rodrigo Benenson, Bernt Schiele, Marius Cordts, Timo Rehfeld, Antonio M. López and David Vázquez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Lirias (KU Leuven).
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.