Pattern Recognition Letters

297.4k citations
8.6k papers · · active since 1982

Impact in

    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques
    • Handwritten Text Recognition Techniques
    • Face and Expression Recognition
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Biometric Identification and Security

Papers in

    • Image Retrieval and Classification Techniques 865
    • Medical Image Segmentation Techniques 560
    • Digital Image Processing Techniques 507
    • Advanced Image and Video Retrieval Techniques 485
    • Face and Expression Recognition 470
    • Handwritten Text Recognition Techniques 469
    • Advanced Neural Network Applications 425
    • Advanced Clustering Algorithms Research 498

Pattern Recognition Letters

8.3k papers receiving 281.3k citations

Peers

Pattern Recognition Letters
Comparison fields: 5 of 247
  • Computer Vision and Pattern Recognition 119.8k
  • Signal Processing 19.4k
  • Artificial Intelligence 61.5k
  • Media Technology 12.1k
  • Computational Mathematics 448
Replace Proceedings of the IEEE with:
Proceedings of the IEEE United States
Multimedia Tools and Applications China
Neurocomputing China
IEEE Transactions on Intelligent Transportation Systems China
Pattern Recognition China
Neural Computation United States
ACM Computing Surveys United States
Sensors China
Neural Networks China
Applied Sciences China
Pattern Recognition Letters relative to Proceedings of the IEEE United States Proceedings of the IEEE's profile →
Citations per field
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Citations per year

Countries where authors publish in Pattern Recognition Letters

Since Specialization
Citations

This map shows the geographic impact of research published in Pattern Recognition Letters. 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 papers published in Pattern Recognition Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pattern Recognition Letters more than expected).

Fields of papers published in Pattern Recognition Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Pattern Recognition Letters. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Pattern Recognition Letters.

About Pattern Recognition Letters

The 8.6k papers published in Pattern Recognition Letters in the last decades have received a total of 297.4k indexed citations . Papers published in Pattern Recognition Letters usually cover Computer Vision and Pattern Recognition (5.1k papers), Artificial Intelligence (2.3k papers), Signal Processing (495 papers), Computer Graphics and Computer-Aided Design (144 papers) and Media Technology (237 papers) specifically the topics of Image Retrieval and Classification Techniques (865 papers), Medical Image Segmentation Techniques (560 papers), Digital Image Processing Techniques (507 papers), Advanced Clustering Algorithms Research (498 papers), Advanced Image and Video Retrieval Techniques (485 papers), Face and Expression Recognition (470 papers), Handwritten Text Recognition Techniques (469 papers) and Advanced Neural Network Applications (425 papers). The most active scholars publishing in Pattern Recognition Letters are Tom E. Fawcett, Anil Kumar Jain, Robert P. W. Duin, Horst Bunke A, Josef Kittler, Azriel Rosenfeld, Pavel Pudil, Jana Novovičová, Witold Pedrycz and Arun A. Ross.

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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