Panagiotis Mangenakis | Mathematics | Innovative Research Award

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Mr. Panagiotis Mangenakis | Mathematics | Innovative Research Award

Democritus University of Thrace | Greece

Mr. Panagiotis Mangenakis is a rapidly emerging researcher in the fields of fuzzy logic, fuzzy implications, fuzzy negations, and copula theory, known for advancing mathematically rigorous frameworks that bridge theoretical foundations with practical applications. His research focuses primarily on constructing novel classes of strict and strong fuzzy negations, two-branched fuzzy implications, and highly generalizable copula structures derived through innovative monotone and convex function compositions. He has contributed significantly to the mathematical analysis and systematic classification of fuzzy connections, providing new methodological pathways for the design, evaluation, and integration of fuzzy operators across analytical, computational, and decision-support applications. His work demonstrates strong originality, particularly in developing unified frameworks for fuzzy implications and copulas that enhance both modeling flexibility and interpretability in fuzzy systems. Mangenakis has published influential articles in reputable journals such as Mathematics, with growing citation visibility across major indexing platforms. His research output is supported by Scopus and Google Scholar citation records, which include peer-reviewed articles, conference contributions, and extended abstracts in international mathematics and applied-analysis events. Citation counts continue to rise, demonstrating increasing recognition of his theoretical contributions within the fuzzy-logic research community. His scholarly documents indexed in Scopus and Google Scholar further reflect early but steady academic impact, with developing h-index metrics that correspond to his growing presence in computational mathematics and fuzzy systems theory. As a researcher dedicated to innovative mathematical structures, he is a strong candidate for recognition such as the Innovative Research Award, particularly for his groundbreaking work in constructing unified frameworks in fuzzy implications and copulas, which has helped refine the understanding of functional composition in fuzzy-logic operators and inspired ongoing research in the broader field of uncertainty modeling.

Publication Profile

Orcid

Featured Publications

  • Mangenakis, P. G., & Papadopoulos, B. (2024). Innovative methods of constructing strict and strong fuzzy negations, fuzzy implications and new classes of copulas. Mathematics, 12(14), 2254.

  • Mangenakis, P., & Papadopoulos, B. K. (2025). A unified framework for constructing two-branched fuzzy implications and copulas via monotone and convex function composition. Mathematics, 13(22), 3604.