Luc Van Gool

1.0k total citations
11 papers, 238 citations indexed

About

Luc Van Gool is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Luc Van Gool has authored 11 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Luc Van Gool's work include Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Vision and Imaging (4 papers). Luc Van Gool is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Vision and Imaging (4 papers). Luc Van Gool collaborates with scholars based in Switzerland, Belgium and Italy. Luc Van Gool's co-authors include Jüergen Gall, Angela Yao, Gabriele Fanelli, Hayko Riemenschneider, Reinhard Koch, Marc Pollefeys, Nima Razavi, Riccardo Leonardi, Nikolay Kobyshev and Alberto Signoroni and has published in prestigious journals such as Institutional Research Information System (Università degli Studi di Brescia), Lirias (KU Leuven) and The Journal of Visualization and Computer Animation.

In The Last Decade

Luc Van Gool

11 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luc Van Gool Switzerland	6	212	56	50	49	44	11	238
Erwan Guillou France	4	218 1.0×	36 0.6×	36 0.7×	33 0.7×	39 0.9×	8	247
Ryo Hachiuma Japan	8	113 0.5×	17 0.3×	22 0.4×	38 0.8×	55 1.3×	33	179
Buyu Liu United States	10	185 0.9×	39 0.7×	34 0.7×	8 0.2×	67 1.5×	18	244
Thomas Mörwald Austria	9	192 0.9×	119 2.1×	13 0.3×	32 0.7×	44 1.0×	14	288
Daniel Herrera C. Finland	2	254 1.2×	152 2.7×	34 0.7×	22 0.4×	7 0.2×	3	319
Omid Hosseini Jafari Germany	3	197 0.9×	58 1.0×	14 0.3×	18 0.4×	19 0.4×	6	219
Yusuke Yoshiyasu Japan	10	177 0.8×	67 1.2×	7 0.1×	22 0.4×	52 1.2×	37	249
Jiehong Lin China	5	103 0.5×	55 1.0×	19 0.4×	28 0.6×	67 1.5×	7	197
Ingo Schiller Germany	6	154 0.7×	79 1.4×	16 0.3×	35 0.7×	7 0.2×	9	258
Andrew J. Davison United Kingdom	6	127 0.6×	129 2.3×	9 0.2×	9 0.2×	20 0.5×	13	221

Countries citing papers authored by Luc Van Gool

Since Specialization

Citations

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

Fields of papers citing papers by Luc Van Gool

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Van Gool. 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 Luc Van Gool. The network helps show where Luc Van Gool may publish in the future.

Co-authorship network of co-authors of Luc Van Gool

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

All Works

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11 of 11 papers shown

Liu, Ce, Shuhang Gu, Luc Van Gool, & Radu Timofte. (2021). Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. 2 indexed citations

Kobyshev, Nikolay, Hayko Riemenschneider, & Luc Van Gool. (2014). Matching Features Correctly through Semantic Understanding. Lirias (KU Leuven). 472–479. 14 indexed citations

Riemenschneider, Hayko, et al.. (2014). A unified framework for content-aware view selection and planning through view importance. Institutional Research Information System (Università degli Studi di Brescia). 69.1–69.11. 25 indexed citations

Timofte, Radu, et al.. (2013). Robust Scene Stitching in Large Scale Mobile Mapping. Lirias (KU Leuven). 107.1–107.11. 1 indexed citations

Riemenschneider, Hayko, et al.. (2013). Overlapping camera clustering through dominant sets for scalable 3D reconstruction. Lirias (KU Leuven). 120.1–120.11. 5 indexed citations

Razavi, Nima, et al.. (2012). Sparsity Potentials for Detecting Objects with the Hough Transform. Lirias (KU Leuven). 11.1–11.10. 3 indexed citations

Prasad, Mukta, Jan Knopp, & Luc Van Gool. (2011). Class-specific 3D localization using constellations of object parts. Lirias (KU Leuven). 34.1–34.11. 3 indexed citations

Yao, Angela, Jüergen Gall, Gabriele Fanelli, & Luc Van Gool. (2011). Does Human Action Recognition Benefit from Pose Estimation?. Lirias (KU Leuven). 67.1–67.11. 126 indexed citations

Gall, Jüergen, Nima Razavi, & Luc Van Gool. (2010). On-line Adaption of Class-specific Codebooks for Instance Tracking. Lirias (KU Leuven). 55.1–55.12. 21 indexed citations

10.

Gool, Luc Van, Bastian Leibe, Pascal Müller, Maarten Vergauwen, & Thibaut Weise. (2007). 3D Challenges and a Non-In-Depth Overview of Recent Progress. 21. 118–132. 10 indexed citations

11.

Koch, Reinhard, Marc Pollefeys, & Luc Van Gool. (2000). Realistic surface reconstruction of 3D scenes from uncalibrated image sequences. The Journal of Visualization and Computer Animation. 11(3). 115–127. 28 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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