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.
Shape matching and object recognition using shape contexts
20024.3k citationsSerge Belongie, Jitendra Malik et al.profile →
Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
Countries citing papers authored by Serge Belongie
Since
Specialization
Citations
This map shows the geographic impact of Serge Belongie'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 Serge Belongie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serge Belongie more than expected).
This network shows the impact of papers produced by Serge Belongie. 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 Serge Belongie. The network helps show where Serge Belongie may publish in the future.
Co-authorship network of co-authors of Serge Belongie
This figure shows the co-authorship network connecting the top 25 collaborators of Serge Belongie.
A scholar is included among the top collaborators of Serge Belongie 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 Serge Belongie. Serge Belongie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yang, Guandao, Tomasz Malisiewicz, & Serge Belongie. (2019). Learning Data-Adaptive Interest Points through Epipolar Adaptation.. Computer Vision and Pattern Recognition. 1–7.1 indexed citations
4.
Guo, Sheng, Weilin Huang, Xiao Zhang, et al.. (2019). The iMaterialist Fashion Attribute Dataset. Research at the University of Copenhagen (University of Copenhagen). 3113–3116.40 indexed citations
Christiansen, Eric, et al.. (2012). Locally Uniform Comparison Image Descriptor. Neural Information Processing Systems. 25. 1–9.38 indexed citations
16.
Babenko, Boris, et al.. (2011). Multiple Instance Learning with Manifold Bags. International Conference on Machine Learning. 81–88.29 indexed citations
Agarwal, Sameer, Josh Wills, Lawrence Cayton, et al.. (2007). Generalized Non-metric Multidimensional Scaling.. International Conference on Artificial Intelligence and Statistics. 11–18.79 indexed citations
19.
Belongie, Serge, Jitendra Malik, & Jan Puzicha. (2000). Shape Context: A New Descriptor for Shape Matching and Object Recognition. Neural Information Processing Systems. 13. 831–837.320 indexed citations
20.
Belongie, Serge, Chad Carson, Hayit Greenspan, & Jitendra Malik. (1998). Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.. 675–682.39 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.