Dragan Pamucar

Dragan Pamucar|Dragan Pamucar - Editor|Dr. Dragan Pamucar is a Professor at the University of Belgrade, Faculty of Organizational Sciences. Dr. Pamucar received a Ph.D. in Applied Mathematics specializing in multi-criteria modeling and soft computing techniques frm the University of Defence in Belgrade, Serbia, in 2013 and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest is in Computational Intelligence, Multi-criteria decision-making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, and neutrosophic theory. Application areas include a wide range of logistics and engineering problems. Dr. Pamucar has five books and over 300 research papers published in SCI indexed International Journals, including Experts Systems with Applications, Applied Soft Computing, Soft Computing, computational Intelligence, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions of Fuzzy Systems, IEEE Transactions on Transportation Electrification, Information Sciences and research and so on, and many more. According to Scopus and Stanford University, he is among the World top 2% of scientists as of 2021. According to WoS and Clarivate, he is among the top 1% of highly cited researchers. Read More Read Less

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Computational Intelligence for Engineering and Management Applications37 %
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Computational Intelligence for Modern Business Systems37 %
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Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 202337 %
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Reliability and Risk Modeling of Engineering Systems37 %
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Reliability and Risk Modeling of Engineering Systems37 %
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Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications4 % NR
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Optimization of Industrial Systems12 % NR
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Dynamics under Uncertainty18 % NR
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Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications
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Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications
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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.03 % NR
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Optimization, Machine Learning, and Fuzzy Logic16 % NR
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Handbook of Nature Inspired Algorithms34 % NR
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Computational Intelligence for Modern Business Systems7 % NR
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