Michael Van den Bergh

1.5k total citations
11 papers, 722 citations indexed

About

Michael Van den Bergh is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Michael Van den Bergh has authored 11 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Human-Computer Interaction and 2 papers in Control and Systems Engineering. Recurrent topics in Michael Van den Bergh's work include Hand Gesture Recognition Systems (5 papers), Advanced Vision and Imaging (4 papers) and Human Pose and Action Recognition (4 papers). Michael Van den Bergh is often cited by papers focused on Hand Gesture Recognition Systems (5 papers), Advanced Vision and Imaging (4 papers) and Human Pose and Action Recognition (4 papers). Michael Van den Bergh collaborates with scholars based in Switzerland, Belgium and Germany. Michael Van den Bergh's co-authors include Luc Van Gool, Xavier Boix, Gemma Roig, Daniel Carton, Jüergen Gall, Dirk Wollherr, Martin Buss, Santiago Manén, Esther Koller-Meier and Paolo Robuffo Giordano and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Control Systems Technology and Lirias (KU Leuven).

In The Last Decade

Michael Van den Bergh

10 papers receiving 675 citations

Peers

Michael Van den Bergh

CVPR

HI

CSE

MT

BE

Taehyun Rhee New Zealand

Ido Leichter Israel

Lars Bretzner Sweden

A. Thayananthan United Kingdom

Zaid Omar Malaysia

Youngwoo Yoon South Korea

Tong Zheng China

Kenny Mitchell United Kingdom

Kazuhiko Sumi Japan

Céline Loscos France

Taehyun Rhee New Zealand

Michael Van den Bergh

567 ×1.2

CVPR

308 ×0.9

HI

188 ×1.3

CSE

73 ×0.7

MT

27 ×0.3

BE

Citations per year, relative to Michael Van den Bergh Michael Van den Bergh (= 1×) peers Taehyun Rhee

Countries citing papers authored by Michael Van den Bergh

Since Specialization

Citations

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

Fields of papers citing papers by Michael Van den Bergh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Van den Bergh. 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 Michael Van den Bergh. The network helps show where Michael Van den Bergh may publish in the future.

Co-authorship network of co-authors of Michael Van den Bergh

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Van den Bergh. A scholar is included among the top collaborators of Michael Van den Bergh 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 Michael Van den Bergh. Michael Van den Bergh 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

1.

Bergh, Michael Van den, Xavier Boix, Gemma Roig, & Luc Van Gool. (2014). SEEDS: Superpixels Extracted Via Energy-Driven Sampling. International Journal of Computer Vision. 111(3). 298–314. 184 indexed citations

2.

Bergh, Michael Van den, Gemma Roig, Xavier Boix, Santiago Manén, & Luc Van Gool. (2013). Online Video SEEDS for Temporal Window Objectness. Lirias (KU Leuven). 377–384. 49 indexed citations

3.

Bergh, Michael Van den, Daniel Carton, & Luc Van Gool. (2013). Depth SEEDS: Recovering incomplete depth data using superpixels. Lirias (KU Leuven). 7. 363–368. 15 indexed citations

4.

Bergh, Michael Van den & Luc Van Gool. (2012). Real-time stereo and flow-based video segmentation with superpixels. Lirias (KU Leuven). 89–96. 13 indexed citations

5.

Luca, Alessandro De, R. Mattone, Paolo Robuffo Giordano, et al.. (2012). Motion Control of the CyberCarpet Platform. IEEE Transactions on Control Systems Technology. 21(2). 410–427. 13 indexed citations

6.

Gall, Jüergen, et al.. (2011). Real-time sign language letter and word recognition from depth data. Lirias (KU Leuven). 73 indexed citations

7.

Bergh, Michael Van den, et al.. (2011). Real-time 3D hand gesture interaction with a robot for understanding directions from humans. Lirias (KU Leuven). 357–362. 127 indexed citations

8.

Bergh, Michael Van den & Luc Van Gool. (2011). Combining RGB and ToF cameras for real-time 3D hand gesture interaction. Lirias (KU Leuven). 66–72. 221 indexed citations

9.

Bergh, Michael Van den, Esther Koller-Meier, & Luc Van Gool. (2009). Real-Time Body Pose Recognition Using 2D or 3D Haarlets. International Journal of Computer Vision. 83(1). 72–84. 19 indexed citations

10.

Bergh, Michael Van den, et al.. (2009). A Novel Camera-Based System for Collaborative Interaction with Multi-Dimensional Data Models. Lirias (KU Leuven). 19–28. 1 indexed citations

11.

Bergh, Michael Van den, Esther Koller-Meier, & Luc Van Gool. (2008). Fast Body Posture Estimation using Volumetric Features. 3. 1–8. 7 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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