World's Best Scientists 2026 revealed!
Longin Jan Latecki

Longin Jan Latecki

D-Index & Metrics

Computer Science

D-Index
64
Citations
14395
World Ranking
2633
National Ranking
1305

Longin Jan Latecki publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Longin Jan Latecki sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 310 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Longin Jan Latecki D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Longin Jan Latecki sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Longin Jan Latecki is a researcher affiliated with Temple University in the United States. Their research primarily focuses on computer science, with a significant number of publications in the subfield of computer vision and pattern recognition.

Their work covers various main topics, including:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Dental Radiography and Imaging

Latecki has contributed to numerous papers, with some of the recent publications listed below along with their year and venue:

  • AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network, 2020, Applied Soft Computing
  • Contextual ensemble network for semantic segmentation, 2021, Pattern Recognition
  • Entropy Minimization Versus Diversity Maximization for Domain Adaptation, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • BANet: Boundary-Assistant Encoder-Decoder Network for Semantic Segmentation, 2022, IEEE Transactions on Intelligent Transportation Systems
  • DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention, 2024, IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors collaborating with Latecki include:

  • Xiaofu Wu
  • Quan Zhou
  • Huitong Pan
  • Eduard Dragut
  • Daniel Carlos Guimarães Pedronette

The researcher has published extensively in the following venues, reflecting their active engagement in the scholarly community:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Access
  • IEEE Transactions on Image Processing

Best Publications

  • Shape descriptors for non-rigid shapes with a single closed contour

    L.J. Latecki;R. Lakamper;T. Eckhardt

  • Shape similarity measure based on correspondence of visual parts

    L.J. Latecki;R. Lakamper

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Incremental Local Outlier Detection for Data Streams

    D. Pokrajac;A. Lazarevic;L.J. Latecki

  • Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution

    Longin Jan Latecki;Rolf Lakämper

  • Path Similarity Skeleton Graph Matching

    Xiang Bai;L.J. Latecki

  • Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

    Yu Wang;Quan Zhou;Jia Liu;Jian Xiong

  • Learning Context-Sensitive Shape Similarity by Graph Transduction

    Xiang Bai;Xingwei Yang;L.J. Latecki;Wenyu Liu

  • Outlier Detection with Kernel Density Functions

    Longin Jan Latecki;Aleksandar Lazarevic;Dragoljub Pokrajac

  • GIFT: A Real-Time and Scalable 3D Shape Search Engine

    Song Bai;Xiang Bai;Zhichao Zhou;Zhaoxiang Zhang

  • Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval

    Xingwei Yang;Suzan Koknar-Tezel;Longin Jan Latecki

  • Maximum weight cliques with mutex constraints for video object segmentation

    Tianyang Ma;Longin Jan Latecki

  • Shape matching and classification using height functions

    Junwei Wang;Xiang Bai;Xinge You;Wenyu Liu

  • Bag of contour fragments for robust shape classification

    Xinggang Wang;Bin Feng;Xiang Bai;Wenyu Liu

  • Improving Shape Retrieval by Learning Graph Transduction

    Xingwei Yang;Xiang Bai;Xiang Bai;Longin Jan Latecki;Zhuowen Tu

  • DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks.

    Chao Li;Xinggang Wang;Wenyu Liu;Longin Jan Latecki

  • Affinity Learning with Diffusion on Tensor Product Graph

    Xingwei Yang;L. Prasad;L. J. Latecki

  • Weakly supervised mitosis detection in breast histopathology images using concentric loss.

    Chao Li;Xinggang Wang;Wenyu Liu;Longin Jan Latecki

  • Application of planar shape comparison to object retrieval in image databases

    Longin Jan Latecki;Rolf Lakämper

  • Well-composed sets

    Longin Latecki;Ulrich Eckhardt;Azriel Rosenfeld

  • Balancing deformability and discriminability for shape matching

    Haibin Ling;Xingwei Yang;Longin Jan Latecki

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Song Bai
Song Bai ByteDance
David M. Mount
David M. Mount University of Maryland, College Park
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Haibin Ling
Haibin Ling Westlake University
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Qi Tian
Qi Tian Huawei Technologies (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhuowen Tu
Zhuowen Tu University of California, San Diego

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