Expert Systems with Applications

24.3k papers and 685.2k indexed citations i.

About

The 24.3k papers published in Expert Systems with Applications in the last decades have received a total of 685.2k indexed citations. Papers published in Expert Systems with Applications usually cover Artificial Intelligence (9.6k papers), Computer Vision and Pattern Recognition (4.4k papers) and Management Science and Operations Research (4.0k papers) specifically the topics of Multi-Criteria Decision Making (1.6k papers), Metaheuristic Optimization Algorithms Research (1.2k papers) and Stock Market Forecasting Methods (958 papers). The most active scholars publishing in Expert Systems with Applications are Shyi‐Ming Chen, Abdülhamit Subaşı, Shu-Hsien Liao, Seyedali Mirjalili, Wei‐Wen Wu, Gwo‐Hshiung Tzeng, Cengiz Kahraman, Amir H. Gandomi, Ingoo Han and Dirk Van den Poel.

In The Last Decade

Fields of papers published in Expert Systems with Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Expert Systems with Applications. 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 Expert Systems with Applications.

Countries where authors publish in Expert Systems with Applications

Since Specialization
Citations

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