Pattern Recognition

578.5k citations
13.7k papers · · active since 2016

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 2.0k
    • Medical Image Segmentation Techniques 1.2k
    • Advanced Vision and Imaging 958
    • Video Surveillance and Tracking Methods 953
    • Handwritten Text Recognition Techniques 800

Pattern Recognition

12.5k papers receiving 545.8k citations

Peers

Pattern Recognition
Comparison fields: 5 of 246
  • Computer Vision and Pattern Recognition 346.1k
  • Media Technology 75.4k
  • Signal Processing 68.4k
  • Artificial Intelligence 167.8k
  • Human-Computer Interaction 17.1k
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
00.5×2×2.7×
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 13.7k papers published in Pattern Recognition in the last decades have received a total of 578.5k indexed citations . Papers published in Pattern Recognition usually cover Computer Vision and Pattern Recognition (9.6k papers), Media Technology (1.6k papers), Artificial Intelligence (4.8k papers), Signal Processing (1.5k papers) and Computational Mathematics (66 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 (2.0k papers), Medical Image Segmentation Techniques (1.2k papers), Advanced Vision and Imaging (958 papers), Video Surveillance and Tracking Methods (953 papers), Handwritten Text Recognition Techniques (800 papers) and Domain Adaptation and Few-Shot Learning (789 papers). The most active scholars publishing in Pattern Recognition are Andrew P. Bradley, Anil Kumar 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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