Computer Vision and Image Understanding

140.8k citations
3.3k papers · · active since 1950

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques
    • Face and Expression Recognition

Papers in

Computer Vision and Image Understanding

3.1k papers receiving 132.5k citations

Peers

Computer Vision and Image Understanding
Comparison fields: 5 of 232
  • Computer Vision and Pattern Recognition 106.9k
  • Human-Computer Interaction 10.5k
  • Media Technology 13.8k
  • Computer Graphics and Computer-Aided Design 4.5k
  • Geology 5.8k
Replace Image and Vision Computing with:
Image and Vision Computing China
IEEE Transactions on Multimedia China
ACM Computing Surveys United States
IEEE Computer Graphics and Applications United States
The International Journal of Robotics Research United States
Journal of Visual Communication and Image Representation China
IEEE Transactions on Visualization and Computer Graphics United States
International Journal of Computer Vision United States
Artificial Intelligence United States
Computer Graphics Forum United States
Computer Vision and Image Understanding relative to Image and Vision Computing China Image and Vision Computing's profile →
Citations per field
00.5×1.5×
Image and Vision Computing · 1×
Citations per year

Countries where authors publish in Computer Vision and Image Understanding

Since Specialization
Citations

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

Fields of papers published in Computer Vision and Image Understanding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Vision and Image Understanding. 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 Computer Vision and Image Understanding.

About Computer Vision and Image Understanding

The 3.3k papers published in Computer Vision and Image Understanding in the last decades have received a total of 140.8k indexed citations . Papers published in Computer Vision and Image Understanding usually cover Computer Vision and Pattern Recognition (2.9k papers), Computer Graphics and Computer-Aided Design (168 papers), Media Technology (373 papers), Human-Computer Interaction (173 papers) and Aerospace Engineering (459 papers) specifically the topics of Advanced Vision and Imaging (777 papers), Advanced Image and Video Retrieval Techniques (688 papers), Video Surveillance and Tracking Methods (485 papers), Human Pose and Action Recognition (444 papers), Robotics and Sensor-Based Localization (409 papers), Medical Image Segmentation Techniques (398 papers), Image Retrieval and Classification Techniques (382 papers) and Advanced Neural Network Applications (240 papers). The most active scholars publishing in Computer Vision and Image Understanding are Luc Van Gool, Tinne Tuytelaars, Herbert Bay, Andreas Ess, T.F. Cootes, Chris Taylor, James Graham, D. H. Cooper, Dariu M. Gavrila and Thomas B. Moeslund.

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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