Longin Jan Latecki

11.6k total citations · 2 hit papers
212 papers, 7.0k citations indexed

About

Longin Jan Latecki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Longin Jan Latecki has authored 212 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 28 papers in Aerospace Engineering. Recurrent topics in Longin Jan Latecki's work include Advanced Image and Video Retrieval Techniques (78 papers), Image Retrieval and Classification Techniques (56 papers) and Medical Image Segmentation Techniques (47 papers). Longin Jan Latecki is often cited by papers focused on Advanced Image and Video Retrieval Techniques (78 papers), Image Retrieval and Classification Techniques (56 papers) and Medical Image Segmentation Techniques (47 papers). Longin Jan Latecki collaborates with scholars based in United States, China and Germany. Longin Jan Latecki's co-authors include Rolf Lakämper, Xiang Bai, Wenyu Liu, Xing‐Wei Yang, Quan Zhou, Song Bai, Dragoljub Pokrajac, Xinggang Wang, Aleksandar Lazarević and Xiaofu Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Longin Jan Latecki

204 papers receiving 6.8k citations

Hit Papers

Shape descriptors for non... 2002 2026 2010 2018 2002 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Longin Jan Latecki United States 43 5.4k 1.5k 696 638 449 212 7.0k
Bernard Ghanem Saudi Arabia 41 7.0k 1.3× 3.0k 2.1× 1.1k 1.6× 871 1.4× 476 1.1× 206 9.6k
Patrick Pérez France 39 4.4k 0.8× 1.8k 1.2× 427 0.6× 1.0k 1.6× 644 1.4× 136 6.3k
Song Bai China 42 5.6k 1.0× 2.4k 1.6× 702 1.0× 855 1.3× 691 1.5× 115 8.1k
Alessandro Verri Italy 31 3.5k 0.6× 1.0k 0.7× 442 0.6× 895 1.4× 655 1.5× 138 6.0k
Yunde Jia China 33 3.4k 0.6× 961 0.7× 666 1.0× 942 1.5× 421 0.9× 193 4.7k
Victor Lempitsky Russia 38 6.3k 1.1× 1.7k 1.2× 512 0.7× 649 1.0× 1.0k 2.2× 74 7.9k
Lizhuang Ma China 38 3.5k 0.6× 941 0.6× 600 0.9× 244 0.4× 709 1.6× 321 4.9k
Jianzhuang Liu China 43 6.2k 1.1× 1.6k 1.1× 393 0.6× 589 0.9× 1.5k 3.2× 204 7.6k
Olga Veksler Canada 23 6.2k 1.1× 856 0.6× 546 0.8× 946 1.5× 1.1k 2.6× 50 7.7k
Jan Puzicha Germany 16 5.1k 0.9× 914 0.6× 514 0.7× 979 1.5× 585 1.3× 27 6.4k

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
2.
Lewis, Theodore, et al.. (2024). Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. Computer Science Review. 53. 100657–100657. 3 indexed citations
3.
Zhou, Quan, et al.. (2022). BANet: Boundary-Assistant Encoder-Decoder Network for Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 23(12). 25259–25270. 39 indexed citations
4.
Wu, Xiaofu, Suofei Zhang, Quan Zhou, et al.. (2021). Entropy Minimization Versus Diversity Maximization for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 2896–2907. 49 indexed citations
5.
Zhou, Quan, Xiaofu Wu, Suofei Zhang, et al.. (2021). Contextual ensemble network for semantic segmentation. Pattern Recognition. 122. 108290–108290. 72 indexed citations
6.
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
12.
Bai, Xiang, Longin Jan Latecki, & Wenyu Liu. (2007). Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(3). 449–462. 287 indexed citations
13.
Latecki, Longin Jan, et al.. (2006). Topological Equivalence between a 3D Object and the Reconstruction of Its Digital Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(1). 126–140. 38 indexed citations
14.
Latecki, Longin Jan, et al.. (2005). <title>Image retrieval and reversible illumination normalization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5670. 99–110. 9 indexed citations
15.
Latecki, Longin Jan & Rolf Lakaemper. (2004). Building Polygonal Maps from Laser Range Data. 6 indexed citations
16.
Latecki, Longin Jan, Daniel DeMenthon, & Amir Rosenfeld. (2002). Extraction of key frames from videos by polygon simplification. 2. 643–646. 5 indexed citations
17.
Melter, Robert A., Angela Y. Wu, & Longin Jan Latecki. (1997). Vision Geometry VI. 3168. 2 indexed citations
18.
Latecki, Longin Jan, et al.. (1995). <title>Nearly continuous functions in digital images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2356. 22–33. 1 indexed citations
19.
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.

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