Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
20101.4k citationsMarc Van Droogenbroeck et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Marc Van Droogenbroeck
Since
Specialization
Citations
This map shows the geographic impact of Marc Van Droogenbroeck'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 Marc Van Droogenbroeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Van Droogenbroeck more than expected).
Fields of papers citing papers by Marc Van Droogenbroeck
This network shows the impact of papers produced by Marc Van Droogenbroeck. 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 Marc Van Droogenbroeck. The network helps show where Marc Van Droogenbroeck may publish in the future.
Co-authorship network of co-authors of Marc Van Droogenbroeck
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Van Droogenbroeck.
A scholar is included among the top collaborators of Marc Van Droogenbroeck 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 Marc Van Droogenbroeck. Marc Van Droogenbroeck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Droogenbroeck, Marc Van, et al.. (2016). Enhancing Cover Song Identification with Hierarchical Rank Aggregation. Open Repository and Bibliography (University of Liège). 136–142.5 indexed citations
5.
Pierard, Sébastien, et al.. (2015). Assessment of physical therapy and activity in multiple sclerosis (APTAIMS): development, reliability and validity of a new questionnaire. Open Repository and Bibliography (University of Liège).
6.
Pierard, Sébastien, Rémy Phan-Ba, & Marc Van Droogenbroeck. (2015). Understanding how people with MS get tired while walking. Multiple Sclerosis Journal. 23.1 indexed citations
7.
Pierard, Sébastien, Rémy Phan-Ba, & Marc Van Droogenbroeck. (2014). Machine learning techniques to assess the performance of a gait analysis system. The European Symposium on Artificial Neural Networks. 80(2). 159–65.2 indexed citations
8.
Pierard, Sébastien, et al.. (2014). Diagnosing multiple sclerosis with a gait measuring system, an analysis of the motor fatigue, and machine learning. Open Repository and Bibliography (University of Liège).
9.
Droogenbroeck, Marc Van, et al.. (2014). Performances of low-level audio classifiers for large-scale music similarity. International Conference on Systems, Signals and Image Processing. 91–94.4 indexed citations
10.
Pierard, Sébastien, et al.. (2014). Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. Open Repository and Bibliography (University of Liège).1 indexed citations
11.
Pierard, Sébastien, et al.. (2013). Relative Contribution of Walking Speed, Ataxia and Gait asymmetry to the Composition of Gait in Multiple Sclerosis. Multiple Sclerosis Journal. 19.2 indexed citations
12.
Pierard, Sébastien, et al.. (2013). GAIMS: A Reliable Non-Intrusive Gait Measuring System. Open Repository and Bibliography (University of Liège). 95.3 indexed citations
13.
Droogenbroeck, Marc Van. (2013). Digital Image and Video Processing. Open Repository and Bibliography (University of Liège).
14.
Pierard, Sébastien, et al.. (2013). Using GAit Measuring System (GAIMS) to discriminate patients with multiple sclerosis from healthy person. Open Repository and Bibliography (University of Liège).1 indexed citations
15.
Pierard, Sébastien, et al.. (2012). Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis. Multiple Sclerosis Journal. 18.5 indexed citations
16.
Pierard, Sébastien, et al.. (2010). 3D information is valuable for the detection of humans in video streams. Open Repository and Bibliography (University of Liège).3 indexed citations
17.
Droogenbroeck, Marc Van. (2004). Partial Encryption Of Images For Real-Time Applications. Open Repository and Bibliography (University of Liège).22 indexed citations
18.
Droogenbroeck, Marc Van & Hugues Talbot. (2003). Segmentation by Adaptive Prediction and Region Merging. Open Repository and Bibliography (University of Liège). 561–570.4 indexed citations
19.
Droogenbroeck, Marc Van. (1992). Shape coding with an optimized morphological region description. Open Repository and Bibliography (University of Liège).1 indexed citations
20.
Maes, Stéphane & Marc Van Droogenbroeck. (1992). Edge characterization in hierarchical subband coding schemes. Open Repository and Bibliography (University of Liège).3 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.