Pattern Recognition

564.2k citations
13.2k 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
    • Handwritten Text Recognition Techniques
    • Video Surveillance and Tracking Methods
    • Remote-Sensing Image Classification

Papers in

    • Advanced Image and Video Retrieval Techniques 2.1k
    • Face and Expression Recognition 2.0k
    • Image Retrieval and Classification Techniques 1.9k
    • Medical Image Segmentation Techniques 1.2k
    • Advanced Vision and Imaging 954
    • Video Surveillance and Tracking Methods 939
    • Handwritten Text Recognition Techniques 797
    • Image and Object Detection Techniques 775

Pattern Recognition

12.2k papers receiving 530.2k citations

Peers

Pattern Recognition
Comparison fields: 5 of 246
  • Computer Vision and Pattern Recognition 341.2k
  • Media Technology 74.3k
  • Signal Processing 67.8k
  • Artificial Intelligence 164.5k
  • Human-Computer Interaction 16.9k
Replace Proceedings of the IEEE with:
Proceedings of the IEEE United States
Neurocomputing China
IEEE Transactions on Image Processing China
IEEE Access China
Pattern Recognition Letters China
Sensors China
International Journal of Computer Vision United States
Communications of the ACM United States
IEEE Transactions on Pattern Analysis and Machine Intelligence United States
Expert Systems with Applications China
Pattern Recognition relative to Proceedings of the IEEE United States Proceedings of the IEEE's profile →
Citations per field
00.5×2.6×
Proceedings of the IEEE · 1×
Citations per year

Countries where authors publish in Pattern Recognition

Since Specialization
Citations

This map shows the geographic impact of research published in Pattern Recognition. 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 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 more than expected).

Fields of papers published in Pattern Recognition

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Pattern Recognition. 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.

About Pattern Recognition

The 13.2k papers published in Pattern Recognition in the last decades have received a total of 564.2k indexed citations . Papers published in Pattern Recognition usually cover Computer Vision and Pattern Recognition (9.5k papers), Media Technology (1.6k papers), Artificial Intelligence (4.7k papers), Signal Processing (1.4k papers) and Computational Mathematics (65 papers) specifically the topics of Advanced Image and Video Retrieval Techniques (2.1k papers), Face and Expression Recognition (2.0k papers), Image Retrieval and Classification Techniques (1.9k papers), Medical Image Segmentation Techniques (1.2k papers), Advanced Vision and Imaging (954 papers), Video Surveillance and Tracking Methods (939 papers), Handwritten Text Recognition Techniques (797 papers) and Image and Object Detection Techniques (775 papers). The most active scholars publishing in Pattern Recognition are Andrew P. Bradley, Anil K. Jain, D.H. Ballard, Matti Pietikäinen, David Zhang, Timo Ojala, Patrick Henry Winston, Zhi‐Hua Zhou, David Harwood and T. Warren Liao.

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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