Pattern Recognition Letters

288.0k citations
8.5k papers · · active since 1950

Impact in

    • Image Retrieval and Classification Techniques
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Video Surveillance and Tracking Methods
    • Remote-Sensing Image Classification

Papers in

    • Image Retrieval and Classification Techniques 1.3k
    • Advanced Image and Video Retrieval Techniques 1.2k
    • Medical Image Segmentation Techniques 970
    • Face and Expression Recognition 960
    • Advanced Vision and Imaging 754
    • Image and Object Detection Techniques 635
    • Video Surveillance and Tracking Methods 505

Pattern Recognition Letters

8.2k papers receiving 270.8k citations

Peers

Pattern Recognition Letters
Comparison fields: 5 of 246
  • Computer Vision and Pattern Recognition 149.3k
  • Media Technology 31.2k
  • Signal Processing 38.1k
  • Artificial Intelligence 84.2k
  • Human-Computer Interaction 8.4k
Replace Multimedia Tools and Applications with:
Multimedia Tools and Applications China
Proceedings of the IEEE United States
Sensors China
Neurocomputing China
Pattern Recognition China
IEEE Transactions on Intelligent Transportation Systems China
Applied Sciences China
Neural Computation United States
ACM Computing Surveys United States
Neural Networks China
Pattern Recognition Letters relative to Multimedia Tools and Applications China Multimedia Tools and Applications's profile →
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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 8.5k papers published in Pattern Recognition Letters in the last decades have received a total of 288.0k indexed citations . Papers published in Pattern Recognition Letters usually cover Computer Vision and Pattern Recognition (5.9k papers), Media Technology (956 papers), Signal Processing (1.2k papers), Artificial Intelligence (2.8k papers) and Computer Graphics and Computer-Aided Design (261 papers) specifically the topics of Image Retrieval and Classification Techniques (1.3k papers), Advanced Image and Video Retrieval Techniques (1.2k papers), Medical Image Segmentation Techniques (970 papers), Face and Expression Recognition (960 papers), Advanced Vision and Imaging (754 papers), Image and Object Detection Techniques (635 papers), Neural Networks and Applications (512 papers) and Video Surveillance and Tracking Methods (505 papers). The most active scholars publishing in Pattern Recognition Letters are Tom Fawcett, Anil K. Jain, Horst Bunke, Robert P. W. Duin, Josef Kittler, Azriel Rosenfeld, Pavel Pudil, Jana Novovičová, Witold Pedrycz and Arun 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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