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.
Hyperspectral Remote Sensing Data Analysis and Future Challenges
20131.6k citationsPaul Scheunders, Jocelyn Chanussot et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Paul Scheunders
Since
Specialization
Citations
This map shows the geographic impact of Paul Scheunders'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 Paul Scheunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Scheunders more than expected).
This network shows the impact of papers produced by Paul Scheunders. 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 Paul Scheunders. The network helps show where Paul Scheunders may publish in the future.
Co-authorship network of co-authors of Paul Scheunders
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Scheunders.
A scholar is included among the top collaborators of Paul Scheunders 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 Paul Scheunders. Paul Scheunders is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scheunders, Paul, et al.. (2012). Improving PLCA-based score-informed source separation with invertible Constant-Q Transforms. European Signal Processing Conference. 2634–2638.3 indexed citations
15.
Scheunders, Paul, et al.. (2010). Source Separation By Score Synthesis. The Journal of the Abraham Lincoln Association. 2010. 462–465.23 indexed citations
16.
Spanhove, Toon, et al.. (2010). Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 25-30 July 2010, Honolulu, Hawai, USA..1 indexed citations
17.
Verdoolaege, Geert, Steve De Backer, & Paul Scheunders. (2008). Geodesic distance between multivariate generalized Gaussian models of image wavelet statistics: an application to colour texture retrieval. Ghent University Academic Bibliography (Ghent University).2 indexed citations
18.
Blanc-Talon, Jacques, Wilfried Philips, Dan C. Popescu, & Paul Scheunders. (2006). Advanced Concepts for Intelligent Vision Systems: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks.2 indexed citations
19.
Pižurica, Aleksandra, Paul Scheunders, & Wilfried Philips. (2004). Multiresolution multispectral image denoising based on probability of presence of features of interest. Ghent University Academic Bibliography (Ghent University). 357–364.7 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.