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New Mathematics and Natural Computation - World Scientific | 2024 Impact Factor:1.1 | Cite Score:1.7 | Q3

New Mathematics and Natural Computation Journal With Cite Score

Cite Score and Journal Rank of New Mathematics and Natural Computation

  • About: The New Mathematics and Natural Computation (NMNC) journal is a peer-reviewed publication focusing on the intersection of mathematics and natural computation. Published by World Scientific Publishing, the journal addresses research in theoretical and applied mathematics, as well as its connections to natural computation, including topics like evolutionary computation, neural networks, and other nature-inspired algorithms.
  • Objective:
    The objective of NMNC is to advance the understanding and application of mathematical techniques in natural computation. The journal aims to publish high-quality research that bridges the gap between mathematical theory and computational methods inspired by natural processes, promoting innovation in areas such as algorithm design, optimization, and computational modeling.
  • Interdisciplinary Approach:
    NMNC employs an interdisciplinary approach by combining mathematical theory with computational methods derived from natural phenomena. This approach facilitates exploration into novel computational techniques and mathematical models, fostering advancements in both fields and encouraging the development of innovative solutions to complex problems.
  • Impact and Significance:
    The journal has a significant impact on the fields of mathematics and natural computation by providing a platform for groundbreaking research and cross-disciplinary collaboration. NMNC contributes to the advancement of computational methods and mathematical theories by highlighting research that integrates mathematical rigor with natural computational strategies, leading to new insights and applications.

  • Editor-in-Chief:  Shu-Heng Chen

  • Scope: The New Mathematics and Natural Computation journal is dedicated to exploring advancements in the fields of mathematics and computational theories that intersect with natural phenomena and processes. The journal emphasizes novel methodologies and applications that contribute to both theoretical and applied aspects of these disciplines.
  • Mathematical Theory and Models: Research on new mathematical theories, models, and techniques that advance understanding in pure and applied mathematics.
  • Natural Computation: Exploration of computational models and algorithms inspired by natural processes, including evolutionary algorithms, swarm intelligence, and neural networks.
  • Computational Mathematics: Studies on numerical methods, algorithms, and software for solving mathematical problems, including computational algebra, differential equations, and optimization.
  • Algorithm Design and Analysis: Research on the design, analysis, and performance evaluation of algorithms, with a focus on novel approaches and their mathematical foundations.
  • Complex Systems and Dynamics: Exploration of mathematical and computational models for complex systems, including chaos theory, dynamical systems, and network dynamics.
  • Biological and Ecological Modeling: Studies on mathematical and computational models of biological and ecological systems, including population dynamics, ecosystem modeling, and bioinformatics.
  • Data Analysis and Statistical Methods: Research on mathematical and computational techniques for data analysis, including statistical methods, data mining, and machine learning.
  • Artificial Intelligence and Machine Learning: Exploration of mathematical foundations and computational techniques used in artificial intelligence and machine learning, including deep learning, reinforcement learning, and neural networks.
  • Optimization and Decision Making: Studies on mathematical optimization techniques and decision-making processes, including linear and nonlinear programming, game theory, and multi-objective optimization.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1793-0057

    Electronic ISSN:  1793-7027

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  1.1

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Science Applications, Human-Computer Interaction, Mathematics, Applied Mathematics, Computational Mathematics

  • Publication Frequency:  

  • H Index:  20

  • Best Quartile:

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    Q3:  Applied Mathematics

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  • Cite Score:  1.7

  • SNIP:  0.831

  • Journal Rank(SJR):  0.258