International Journal of Image and Data Fusion

271 papers and 4.2k indexed citations i.

About

The 271 papers published in International Journal of Image and Data Fusion in the last decades have received a total of 4.2k indexed citations. Papers published in International Journal of Image and Data Fusion usually cover Media Technology (129 papers), Computer Vision and Pattern Recognition (74 papers) and Environmental Engineering (64 papers) specifically the topics of Remote-Sensing Image Classification (101 papers), Advanced Image Fusion Techniques (70 papers) and Remote Sensing in Agriculture (41 papers). The most active scholars publishing in International Journal of Image and Data Fusion are Jixian Zhang, Ruisheng Wang, Amin Beiranvand Pour, Jixian Zhang, Mazlan Hashim, Peter Reinartz, Jón Atli Benediktsson, Xiangguo Lin, Manfred Ehlers and Sascha Klonus.

In The Last Decade

Fields of papers published in International Journal of Image and Data Fusion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Image and Data Fusion. 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 Image and Data Fusion.

Countries where authors publish in International Journal of Image and Data Fusion

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Image and Data Fusion. 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 Image and Data Fusion 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 Image and Data Fusion 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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