Gijs Dubbelman

945 total citations
61 papers, 533 citations indexed

About

Gijs Dubbelman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Gijs Dubbelman has authored 61 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 18 papers in Automotive Engineering. Recurrent topics in Gijs Dubbelman's work include Autonomous Vehicle Technology and Safety (18 papers), Advanced Vision and Imaging (18 papers) and Robotics and Sensor-Based Localization (18 papers). Gijs Dubbelman is often cited by papers focused on Autonomous Vehicle Technology and Safety (18 papers), Advanced Vision and Imaging (18 papers) and Robotics and Sensor-Based Localization (18 papers). Gijs Dubbelman collaborates with scholars based in Netherlands, United States and Luxembourg. Gijs Dubbelman's co-authors include Chenyang Lu, Brett Browning, René van de Molengraft, Frans C. A. Groen, Peter H. N. de With, J.W.M. Bergmans, F.C.A. Groen, Klamer Schutte, J.C. van den Heuvel and H. J. Wörtche and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Pattern Recognition.

In The Last Decade

Gijs Dubbelman

56 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gijs Dubbelman Netherlands	13	370	220	126	105	102	61	533
Yifeng Shi China	10	388 1.0×	127 0.6×	177 1.4×	78 0.7×	64 0.6×	18	575
Bruno Steux France	11	343 0.9×	125 0.6×	99 0.8×	57 0.5×	79 0.8×	21	493
Fengchi Sun China	12	267 0.7×	181 0.8×	54 0.4×	51 0.5×	84 0.8×	49	430
Jianmin Ji China	15	404 1.1×	251 1.1×	91 0.7×	210 2.0×	46 0.5×	70	738
Hyunggi Cho United States	7	298 0.8×	134 0.6×	179 1.4×	73 0.7×	84 0.8×	7	487
Kiyosumi Kidono Japan	13	310 0.8×	156 0.7×	181 1.4×	45 0.4×	108 1.1×	33	527
Qimin Xu China	12	157 0.4×	288 1.3×	95 0.8×	188 1.8×	154 1.5×	38	544
Xunyu Zhong China	13	386 1.0×	209 0.9×	68 0.5×	63 0.6×	44 0.4×	48	519
Zayed Alsayed France	3	311 0.8×	418 1.9×	108 0.9×	65 0.6×	206 2.0×	5	609

Countries citing papers authored by Gijs Dubbelman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Gijs Dubbelman

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

All Works

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20 of 20 papers shown

Hermans, Alexander, et al.. (2025). Your ViT is Secretly an Image Segmentation Model. TU/e Research Portal. 25303–25313. 2 indexed citations

Grigorescu, Sorin, et al.. (2024). A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data. TU/e Research Portal. 41–48.

Dubbelman, Gijs, et al.. (2024). How to Benchmark Vision Foundation Models for Semantic Segmentation?. TU/e Research Portal. 1162–1171.

Orlova, Svetlana, et al.. (2024). ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. TU/e Research Portal. 15773–15782. 4 indexed citations

Lu, Chenyang, et al.. (2023). Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. TU/e Research Portal. 23631–23640. 16 indexed citations

Dubbelman, Gijs, et al.. (2023). Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4 indexed citations

Chen, Guang, et al.. (2022). Continual Pedestrian Trajectory Learning With Social Generative Replay. IEEE Robotics and Automation Letters. 8(2). 848–855. 12 indexed citations

Dubbelman, Gijs, et al.. (2022). Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation. 2022 IEEE Intelligent Vehicles Symposium (IV). 874–881. 7 indexed citations

Vélez, Gorka, et al.. (2020). Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. IEEE Intelligent Transportation Systems Magazine. 12(3). 70–80. 2 indexed citations

10.

IJsselmuiden, Joris, et al.. (2020). Pose-graph based Crowdsourced Mapping Framework. TU/e Research Portal. 6 indexed citations

11.

Dubbelman, Gijs, et al.. (2019). From stixels to asteroids: Towards a collision warning system using stereo vision. Electronic Imaging. 31(15). 34–1. 3 indexed citations

12.

Dubbelman, Gijs, et al.. (2019). Go-With-the-Flow Swarm Sensing in Inaccessible Viscous Media. IEEE Sensors Journal. 20(8). 4442–4452. 4 indexed citations

13.

Lu, Chenyang, Gijs Dubbelman, & René van de Molengraft. (2018). Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders.. arXiv (Cornell University). 1 indexed citations

14.

Dubbelman, Gijs, et al.. (2016). Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. TU/e Research Portal. 1–8. 4 indexed citations

15.

Bondarev, Egor, et al.. (2014). Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. TU/e Research Portal. 360–367. 7 indexed citations

16.

Dubbelman, Gijs, et al.. (2014). Online self-supervised learning for road detection. TU/e Research Portal. 148–155. 1 indexed citations

17.

Demi, Libertario, et al.. (2013). Environment mapping and localization with an uncontrolled swarm of ultrasound sensor motes. The Journal of the Acoustical Society of America. 134(5_Supplement). 4185–4185. 5 indexed citations

18.

Dubbelman, Gijs, et al.. (2010). Efficient trajectory bending with applications to loop closure. UvA-DARE (University of Amsterdam). 4836–4842. 16 indexed citations

19.

Dubbelman, Gijs & Frans C. A. Groen. (2009). Bias reduction for stereo based motion estimation with applications to large scale visual odometry. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2222–2229. 25 indexed citations

20.

Dubbelman, Gijs, et al.. (2008). Accurate and robust ego-motion estimation using expectation maximization. UvA-DARE (University of Amsterdam). 1496 1998. 3914–3920. 14 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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