International Journal of Multimedia Information Retrieval

307 papers and 3.7k indexed citations i.

About

The 307 papers published in International Journal of Multimedia Information Retrieval in the last decades have received a total of 3.7k indexed citations. Papers published in International Journal of Multimedia Information Retrieval usually cover Computer Vision and Pattern Recognition (258 papers), Artificial Intelligence (94 papers) and Signal Processing (48 papers) specifically the topics of Advanced Image and Video Retrieval Techniques (138 papers), Image Retrieval and Classification Techniques (89 papers) and Multimodal Machine Learning Applications (63 papers). The most active scholars publishing in International Journal of Multimedia Information Retrieval are Michael S. Lew, Theodoros Georgiou, Abdul Mueed Hafiz, G. Mohiuddin Bhat, Yanming Guo, Yu Liu, K. Balasamy, V. Seethalakshmi, S. Suganyadevi and R. P. Maheshwari.

In The Last Decade

Fields of papers published in International Journal of Multimedia Information Retrieval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Multimedia Information Retrieval. 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 International Journal of Multimedia Information Retrieval.

Countries where authors publish in International Journal of Multimedia Information Retrieval

Since Specialization
Citations

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