Journal of Visual Communication and Image Representation · 1×
×0.628k/51kCVPR
×0.56k/11kMT
×2.52k/936GEOLO
×1.12k/2kHI
×2.23k/1kIME
Citations per year
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Countries where authors publish in Machine Vision and Applications
Since Specialization
Citations
This map shows the geographic impact of research published in Machine Vision and Applications. 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 Machine Vision and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machine Vision and Applications more than expected).
Fields of papers published in Machine Vision and Applications
This network shows the impact of papers published in Machine Vision and Applications. 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 Machine Vision and Applications.
About Machine Vision and Applications
The 2.9k papers published in Machine Vision and Applications in the last decades have received a total of 43.8k indexed citations . Papers published in Machine Vision and Applications usually cover Computer Vision and Pattern Recognition (2.2k papers), Media Technology (338 papers), Human-Computer Interaction (145 papers), Geology (125 papers) and Computer Graphics and Computer-Aided Design (77 papers) specifically the topics of Advanced Vision and Imaging (583 papers), Video Surveillance and Tracking Methods (413 papers), Advanced Image and Video Retrieval Techniques (394 papers), Robotics and Sensor-Based Localization (379 papers), Image and Object Detection Techniques (297 papers), Image Retrieval and Classification Techniques (255 papers), Human Pose and Action Recognition (232 papers) and Optical measurement and interference techniques (220 papers). The most active scholars publishing in Machine Vision and Applications are Thomas B. Moeslund, Pascal Fua, Paul J. Besl, Paul L. Rosin, Mubarak Shah, Rikke Gade, Olivier Faugeras, Frédéric Devernay, Ernst D. Dickmanns and K. Krishna Reddy.
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.