Multimedia Systems

2.0k papers and 20.4k indexed citations
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About

The 2.0k papers published in Multimedia Systems in the last decades have received a total of 20.4k indexed citations. Papers published in Multimedia Systems usually cover Computer Vision and Pattern Recognition (1.4k papers), Artificial Intelligence (394 papers) and Computer Networks and Communications (346 papers) specifically the topics of Advanced Image and Video Retrieval Techniques (277 papers), Video Analysis and Summarization (265 papers) and Multimedia Communication and Technology (212 papers). The most active scholars publishing in Multimedia Systems are Hao Zhang, Stephen W. Smoliar, Mohan Kankanhalli, Thomas S. Huang, Abdulmotaleb El Saddik, Xiang Sean Zhou, Atreyi Kankanhalli, Pradeep K. Atrey, M. Anwar Hossain and Jonathan Foote.

In The Last Decade

Multimedia Systems

1.6k papers receiving 18.7k citations

Fields of papers published in Multimedia Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Multimedia Systems. 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 Multimedia Systems.

Countries where authors publish in Multimedia Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Multimedia Systems. 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 Multimedia Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multimedia Systems 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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