Intelligent Automation & Soft Computing

2.4k papers and 12.0k indexed citations

About

The 2.4k papers published in Intelligent Automation & Soft Computing in the last decades have received a total of 12.0k indexed citations. Papers published in Intelligent Automation & Soft Computing usually cover Artificial Intelligence (677 papers), Computer Networks and Communications (486 papers) and Computer Vision and Pattern Recognition (478 papers) specifically the topics of Network Security and Intrusion Detection (105 papers), IoT and Edge/Fog Computing (104 papers) and Fuzzy Logic and Control Systems (88 papers). The most active scholars publishing in Intelligent Automation & Soft Computing are T. Lin, Yiyu Yao, Danial Shahmirzadi, Caro Lucas, Lynne E. Parker, D. Tian, Mehedi Masud, Simon X. Yang, Honghao Gao and R.H. Lasseter.

In The Last Decade

Intelligent Automation & Soft Computing

2.0k papers receiving 10.8k citations

Fields of papers published in Intelligent Automation & Soft Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Intelligent Automation & Soft Computing. 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 Intelligent Automation & Soft Computing.

Countries where authors publish in Intelligent Automation & Soft Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Intelligent Automation & Soft Computing. 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 Intelligent Automation & Soft Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intelligent Automation & Soft Computing 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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2026