Gijs Dubbelman
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- Advanced Vision and Imaging 18
- Video Surveillance and Tracking Methods 17
- Advanced Neural Network Applications 13
- Advanced Image and Video Retrieval Techniques 10
- Multimodal Machine Learning Applications 6
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 18
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 18
- Geology top 10%
- Media Technology top 10%
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- Indoor and Outdoor Localization Technologies 9
- Co-authors
- Chenyang LuBrett BrowningRené van de MolengraftPeter H. N. de WithFrans C. A. GroenF.C.A. GroenJ.C. van den HeuvelJ.W.M. Bergmans
- Journals
- The Journal of the Acoustical Society of America (1 paper)Sensors (1 paper)Pattern Recognition (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Gijs Dubbelman
56 papers receiving 515 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 370
- Automotive Engineering 126
- Aerospace Engineering 220
- Geology 32
- Media Technology 29
Countries citing papers authored by Gijs Dubbelman
This map shows the geographic impact of Gijs Dubbelman'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 Gijs Dubbelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gijs Dubbelman more than expected).
Fields of papers citing papers by Gijs Dubbelman
This network shows the impact of papers produced by Gijs Dubbelman. 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 Gijs Dubbelman. The network helps show where Gijs Dubbelman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gijs Dubbelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 3 | |
| 13 | Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders. | 2018 | 1 |
| 14 | 2016 | 4 | |
| 15 | 2014 | 7 | |
| 16 | Online self-supervised learning for road detection | 2014 | 1 |
| 17 | 2013 | 5 | |
| 18 | 2010 | 16 | |
| 19 | 2009 | 25 | |
| 20 | 2008 | 14 |
About Gijs Dubbelman
Gijs Dubbelman is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 61 papers that have together received 533 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (18 papers), Advanced Vision and Imaging (18 papers), Robotics and Sensor-Based Localization (18 papers), Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (10 papers), Indoor and Outdoor Localization Technologies (9 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Automotive Engineering (126 citations) and Aerospace Engineering (220 citations). Gijs Dubbelman has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Chenyang Lu, Brett Browning, René van de Molengraft, Peter H. N. de With, Frans C. A. Groen, F.C.A. Groen, J.C. van den Heuvel, J.W.M. Bergmans, H. J. Wörtche and Klamer Schutte. Their work appears in journals such as The Journal of the Acoustical Society of America, Sensors and Pattern Recognition.
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.