Applied Intelligence

6.3k papers and 78.6k indexed citations i.

About

The 6.3k papers published in Applied Intelligence in the last decades have received a total of 78.6k indexed citations. Papers published in Applied Intelligence usually cover Artificial Intelligence (3.4k papers), Computer Vision and Pattern Recognition (2.1k papers) and Information Systems (809 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (505 papers), Face and Expression Recognition (412 papers) and Anomaly Detection Techniques and Applications (361 papers). The most active scholars publishing in Applied Intelligence are Seyedali Mirjalili, Harish Garg, Yong Deng, Shahrzad Saremi, Shyi‐Ming Chen, Ibrahim Aljarah, Fuyuan Xiao, Gehad Ismail Sayed, Igor Kononenko and Mohammed M. Abdelsamea.

In The Last Decade

Fields of papers published in Applied Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Intelligence. 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 Applied Intelligence.

Countries where authors publish in Applied Intelligence

Since Specialization
Citations

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