Pattern Recognition

12.7k papers and 499.7k indexed citations

About

The 12.7k papers published in Pattern Recognition in the last decades have received a total of 499.7k indexed citations. Papers published in Pattern Recognition usually cover Computer Vision and Pattern Recognition (9.3k papers), Artificial Intelligence (4.5k papers) and Media Technology (1.6k papers) specifically the topics of Advanced Image and Video Retrieval Techniques (2.0k papers), Face and Expression Recognition (1.9k papers) and Image Retrieval and Classification Techniques (1.9k 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, Zhi‐Hua Zhou, T. Warren Liao, David Harwood and Nikhil R. Pal.

In The Last Decade

Pattern Recognition

11.9k papers receiving 469.1k citations

Peers

Pattern Recognition
Comparison fields: 5 of 245
  • Computer Vision and Pattern Recognition 303.4k
  • Artificial Intelligence 145.7k
  • Media Technology 68.0k
  • Signal Processing 58.7k
  • Biomedical Engineering 29.3k
Replace Neurocomputing with:
Neurocomputing China
IEEE Transactions on Image Processing China
Pattern Recognition Letters China
Expert Systems with Applications China
Communications of the ACM United States
IEEE Transactions on Pattern Analysis and Machine Intelligence United States
International Journal of Computer Vision United States
Multimedia Tools and Applications China
Information Sciences China
Proceedings of the IEEE United States
Neurocomputing China View profile →
Citations per field, relative to Pattern Recognition
Pattern Recognition · 1×
Citations per year, relative to Pattern Recognition
Pattern Recognition · 1×

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.

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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