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 descriptors for non-rigid shapes with a single closed contour
2002574 citationsLongin Jan Latecki et al.profile →
Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
2019287 citationsQuan Zhou, Xiaofu Wu 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 Longin Jan Latecki
Since
Specialization
Citations
This map shows the geographic impact of Longin Jan Latecki'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 Longin Jan Latecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longin Jan Latecki more than expected).
Fields of papers citing papers by Longin Jan Latecki
This network shows the impact of papers produced by Longin Jan Latecki. 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 Longin Jan Latecki. The network helps show where Longin Jan Latecki may publish in the future.
Co-authorship network of co-authors of Longin Jan Latecki
This figure shows the co-authorship network connecting the top 25 collaborators of Longin Jan Latecki.
A scholar is included among the top collaborators of Longin Jan Latecki 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 Longin Jan Latecki. Longin Jan Latecki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Latecki, Longin Jan, et al.. (2015). Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering. Asian Conference on Machine Learning. 362–377.15 indexed citations
7.
Zhou, Yu, Xiang Bai, Wenyu Liu, & Longin Jan Latecki. (2012). Fusion with Diffusion for Robust Visual Tracking. Neural Information Processing Systems. 25. 2978–2986.34 indexed citations
8.
Li, Nan & Longin Jan Latecki. (2012). Clustering Aggregation as Maximum-Weight Independent Set. Neural Information Processing Systems. 25. 782–790.7 indexed citations
9.
Wang, Xinggang, Xiang Bai, Xing‐Wei Yang, Wenyu Liu, & Longin Jan Latecki. (2011). Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning. Neural Information Processing Systems. 24. 864–872.5 indexed citations
10.
Liu, Hairong, Longin Jan Latecki, & Shuicheng Yan. (2010). Robust Clustering as Ensembles of Affinity Relations. National University of Singapore. 23. 1414–1422.35 indexed citations
11.
Latecki, Longin Jan, et al.. (2008). Multiscale Random Fields with Application to Contour Grouping. Neural Information Processing Systems. 21. 913–920.5 indexed citations
Latecki, Longin Jan, et al.. (1993). Orientation and Qualitative Angle for Spatial Reasoning.. International Joint Conference on Artificial Intelligence. 1544–1549.9 indexed citations
20.
Latecki, Longin Jan, et al.. (1992). On hybrid reasoning for processing spatial expressions. European Conference on Artificial Intelligence. 389–393.3 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.