Journal of Real-Time Image Processing

1.5k papers and 13.1k indexed citations i.

About

The 1.5k papers published in Journal of Real-Time Image Processing in the last decades have received a total of 13.1k indexed citations. Papers published in Journal of Real-Time Image Processing usually cover Computer Vision and Pattern Recognition (1.2k papers), Signal Processing (260 papers) and Media Technology (218 papers) specifically the topics of Advanced Vision and Imaging (378 papers), Advanced Neural Network Applications (224 papers) and Video Surveillance and Tracking Methods (223 papers). The most active scholars publishing in Journal of Real-Time Image Processing are Sergio Saponara, Nasser Kehtarnavaz, Dimitrios Makris, Georgios Mastorakis, Khalid M. Hosny, Antonio Plaza, Ching‐Nung Yang, Chen Chen, Kostas E. Psannis and Abdussalam Elhanashi.

In The Last Decade

Fields of papers published in Journal of Real-Time Image Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Real-Time Image Processing. 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 Journal of Real-Time Image Processing.

Countries where authors publish in Journal of Real-Time Image Processing

Since Specialization
Citations

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

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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