Soft Computing

9.2k papers and 128.0k indexed citations i.

About

The 9.2k papers published in Soft Computing in the last decades have received a total of 128.0k indexed citations. Papers published in Soft Computing usually cover Artificial Intelligence (3.8k papers), Management Science and Operations Research (2.0k papers) and Computational Theory and Mathematics (2.0k papers) specifically the topics of Multi-Criteria Decision Making (1.3k papers), Metaheuristic Optimization Algorithms Research (1.1k papers) and Rough Sets and Fuzzy Logic (867 papers). The most active scholars publishing in Soft Computing are Yaochu Jin, Satvir Singh, Sankalap Arora, Dongshu Wang, Lei Liu, Francisco Herrera, Bijan Davvaz, Cengiz Kahraman, Yong Deng and James J. Buckley.

In The Last Decade

Fields of papers published in Soft Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Soft Computing

Since Specialization
Citations

This map shows the geographic impact of research published in 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 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 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025