Abstract
A Soft Computing technique is one of the essential problems solving techniques for the researchers present in the world. Compared to other issues solving techniques, the Soft Computing domain gives outstanding performance, so the researchers are concentrating the Soft Computing domain for solving problems. Soft Computing domain categorizes into many sub-domains, like Neural Networks, Machine Learning, and Genetic Algorithm. Through this paper, we considered to study the impact produced by the Institutions as well as authors in the domain of Soft Computing from the year 1999 to 2019 for PubMed database. From the overall study, we found that China has made more number of publications, author productivity, and influential authors. Some countries, like Russia, Saudi Arabia, and Turkey, with minimum author productivity and minimum publications from the Asian continent in the Soft Computing-related domains. From the research, we determined that china dominates in terms of Institutions wise and Author productivity in the field of Soft Computing domain.
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Acknowledgements
The authors would like to acknowledge Department of Science and Technology, Government of India for financial support vide Reference No (NSTMIS/2019/342) under NSTMIS to carry out this work.
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This study was funded by Department of Science and Technology, Government of India for financial support (Reference No: NSTMIS/2019/342) under National Science and Technology Management Information System (NSTMIS).
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Kesavan, M.B., Ramkumar, S., Kartheeswaran, S. et al. A scientometric study on components of Soft Computing methods from 1999 to 2019 for top most populated countries from Asian Continent. Appl Nanosci 13, 3015–3040 (2023). https://doi.org/10.1007/s13204-022-02380-2
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DOI: https://doi.org/10.1007/s13204-022-02380-2