Annales Mathematicae et Informaticae

Scope & Guideline

Unveiling innovative insights in mathematical and computational realms.

Introduction

Delve into the academic richness of Annales Mathematicae et Informaticae with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1787-5021
PublisherE K F LICEUM KIADO
Support Open AccessNo
CountryHungary
TypeJournal
Convergefrom 1997 to 2023
AbbreviationANN MATH INFORM / Ann. Math. Inform.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressESZTERHAZY TER 1, EGER 3300, HUNGARY

Aims and Scopes

The journal 'Annales Mathematicae et Informaticae' focuses on a diverse range of mathematical and computational topics, emphasizing both theoretical developments and practical applications. Its core areas reflect a blend of traditional mathematical research and contemporary computational methodologies, catering to a broad audience from academia to industry.
  1. Mathematical Theory and Applications:
    The journal publishes research that explores foundational mathematical theories, as well as their applications in various fields such as physics, computer science, and engineering.
  2. Computational Methods and Algorithms:
    A significant focus is placed on the development and analysis of algorithms, particularly in the context of data science, machine learning, and optimization techniques.
  3. Interdisciplinary Research:
    The journal encourages interdisciplinary studies that integrate mathematics with other domains such as education technology, health informatics, and environmental science.
  4. Educational Challenges in Mathematics and Computing:
    Research addressing pedagogical approaches and challenges in teaching mathematics and computing is a consistent theme, reflecting the journal's engagement with educational methodologies.
  5. Graph Theory and Combinatorics:
    The exploration of graph theory, combinatorial structures, and their applications in network analysis is a recurring area of interest.
Recent publications in 'Annales Mathematicae et Informaticae' reveal a significant evolution in research themes, showcasing areas that are gaining traction and reflecting contemporary challenges and innovations in the field. These emerging topics highlight the journal's responsiveness to the dynamic landscape of mathematics and informatics.
  1. Artificial Intelligence and Machine Learning:
    There is a noticeable increase in research related to AI and machine learning, specifically in applications such as natural language processing and computer vision, indicating a strong trend towards integrating mathematics with advanced computational techniques.
  2. Blockchain and Cryptography:
    Emerging themes around blockchain technology and cryptographic techniques are gaining attention, reflecting the growing relevance of secure digital transactions and data integrity in the modern world.
  3. Health Informatics and eHealth Solutions:
    Research on health informatics, particularly in the context of pandemic responses and smart health monitoring systems, has become increasingly prominent, showcasing the journal's engagement with real-world applications.
  4. Educational Technology in Mathematics:
    The integration of technology in mathematics education, including studies on the use of programming and machine learning in teaching, reflects a growing interest in enhancing educational methodologies.
  5. Quantum Computing Applications:
    With the rise of quantum computing, there is a trend towards exploring its applications in various fields, indicating an emerging area of research that combines mathematics with cutting-edge technology.

Declining or Waning

In contrast to its emerging themes, certain areas have seen a decline in publication frequency, indicating a potential shift in research focus within the journal. These waning scopes may reflect changing interests among researchers or advancements in related fields that have overshadowed them.
  1. Traditional Algebraic Structures:
    Research on classical algebraic structures, such as group theory and ring theory, appears less frequently, possibly due to the growing interest in computational approaches and applications.
  2. Basic Statistical Methods:
    Papers focusing on traditional statistical methods are becoming less common, as newer methodologies in data science and machine learning gain prominence.
  3. Elementary Number Theory:
    While still relevant, publications in elementary number theory have decreased, possibly as researchers shift towards more complex applications and computational techniques.

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