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.
Comparative study of retinal vessel segmentation methods on a new publicly available database
2004585 citationsMeindert Niemeijer, Joes Staal et al.Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIEprofile →
A Review of Domain Adaptation without Target Labels
2019374 citationsWouter M. Kouw, Marco LoogIEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
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 Marco Loog'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 Marco Loog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Loog more than expected).
This network shows the impact of papers produced by Marco Loog. 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 Marco Loog. The network helps show where Marco Loog may publish in the future.
Co-authorship network of co-authors of Marco Loog
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Loog.
A scholar is included among the top collaborators of Marco Loog 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 Marco Loog. Marco Loog is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kouw, Wouter M., et al.. (2016). Feature-level domain adaptation. Journal of Machine Learning Research. 17(1). 5943–5974.39 indexed citations
9.
Fränti, Pasi, et al.. (2014). Structural, Syntactic, and Statistical Pettern Recognition: S+SSPR 2014. Lecture notes in computer science. 8621.1 indexed citations
10.
Loog, Marco, Marcel Reinders, Dick de Ridder, & Lodewyk F.A. Wessels. (2011). Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics.5 indexed citations
11.
Loog, Marco & François Lauze. (2010). The Improbability of Harris Interest Points. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(6). 1141–1147.29 indexed citations
Lobo, Niels da Vitoria, Takis Kasparis, Michael Georgiopoulos, et al.. (2008). Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings ... Vision, Pattern Recognition, and Graphics). Springer eBooks.
15.
Loog, Marco. (2008). On the Equivalence of Linear Dimensionality-Reducing Transformations. Journal of Machine Learning Research. 9(82). 2489–2490.2 indexed citations
16.
Huang, De-Shuang, Laurent Heutte, & Marco Loog. (2007). Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: Third International Conference. Springer eBooks.4 indexed citations
17.
Loog, Marco. (2007). A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion. Journal of Machine Learning Research. 8(72). 2121–2123.5 indexed citations
Niemeijer, Meindert, Joes Staal, Bram van Ginneken, Marco Loog, & Michael D. Abràmoff. (2004). Comparative study of retinal vessel segmentation methods on a new publicly available database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 648–648.585 indexed citations breakdown →
20.
Loog, Marco, et al.. (2002). Non-Iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data From Fisher to Chernoff.4 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.