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.
Visual Analysis of Large Graphs: State‐of‐the‐Art and Future Research Challenges
2011345 citationsArjan Kuijper, Dieter W. Fellner et al.profile →
ElasticFace: Elastic Margin Loss for Deep Face Recognition
2022150 citationsFadi Boutros, Naser Damer et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Arjan Kuijper'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 Arjan Kuijper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjan Kuijper more than expected).
This network shows the impact of papers produced by Arjan Kuijper. 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 Arjan Kuijper. The network helps show where Arjan Kuijper may publish in the future.
Co-authorship network of co-authors of Arjan Kuijper
This figure shows the co-authorship network connecting the top 25 collaborators of Arjan Kuijper.
A scholar is included among the top collaborators of Arjan Kuijper 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 Arjan Kuijper. Arjan Kuijper is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuijper, Arjan, et al.. (2020). Table of Contents. 5–6.1 indexed citations
11.
Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2020). Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 215–222.5 indexed citations
Zhou, Yayun, Arjan Kuijper, & Lin He. (2008). Multiphase level set method and its application in cell segmentation. International Conference on Signal Processing. 134–139.1 indexed citations
16.
Kuijper, Arjan & Ilkka Havukkala. (2007). Computationally efficient matching of microRNA shapes using mutual symmetry. 477–482.1 indexed citations
17.
Olsen, Ole Fogh, Luc Florack, & Arjan Kuijper. (2006). Deep Structure, Singularities, and Computer Vision: First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers (Lecture Notes in Computer Science). Springer eBooks.5 indexed citations
18.
Kuijper, Arjan & Luc Florack. (2002). Logical Filtering in Scale Space. Utrecht University Repository (Utrecht University).8 indexed citations
19.
Kuijper, Arjan, et al.. (2001). Scale Space Hierarchy. TU/e Research Portal (Eindhoven University of Technology).3 indexed citations
20.
Kuijper, Arjan & Luc Florack. (2001). The application of catastrophe theory to image analysis. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 117(20). 846–846.6 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.