FORUM MATHEMATICUM

Scope & Guideline

Connecting Ideas: A Hub for Mathematical Excellence

Introduction

Delve into the academic richness of FORUM MATHEMATICUM 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.
LanguageMulti-Language
ISSN0933-7741
PublisherWALTER DE GRUYTER GMBH
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 1989 to 2024
AbbreviationFORUM MATH / Forum Math.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGENTHINER STRASSE 13, D-10785 BERLIN, GERMANY

Aims and Scopes

FORUM MATHEMATICUM is dedicated to publishing high-quality papers that contribute to various branches of mathematics. The journal emphasizes both theoretical and applied aspects across a wide array of mathematical disciplines.
  1. Algebra and Number Theory:
    This area includes studies on algebraic structures, representation theory, and number-theoretic functions, often exploring the relationships between different algebraic entities and their applications.
  2. Geometry and Topology:
    Research in this scope focuses on geometric structures, topological properties, and their implications in various mathematical contexts, including differential geometry and algebraic topology.
  3. Analysis and PDEs:
    The journal publishes works on real and complex analysis, functional analysis, and partial differential equations (PDEs), particularly those that involve new techniques or applications.
  4. Mathematical Physics:
    This encompasses papers that bridge mathematics and physics, particularly in areas like quantum mechanics, statistical mechanics, and the mathematical foundations of physical theories.
  5. Combinatorics and Graph Theory:
    This area explores combinatorial structures, graph properties, and their applications in optimization and computer science.
  6. Probability and Stochastic Processes:
    Research on stochastic analysis, random processes, and their applications in various fields, including finance and statistical physics.
  7. Mathematical Logic:
    This includes works on foundational aspects of mathematics, model theory, and set theory, contributing to the understanding of mathematical reasoning.
Recent publications in FORUM MATHEMATICUM have highlighted several emerging themes that reflect current trends in mathematical research. These themes often intersect with technology and other scientific disciplines.
  1. Nonlinear Analysis:
    There is a growing interest in nonlinear equations and systems, particularly in the context of applied mathematics and engineering, leading to new methodologies and applications.
  2. Mathematical Machine Learning:
    The intersection of mathematics and machine learning is rapidly expanding, with an emphasis on developing algorithms and theoretical frameworks that support data-driven approaches.
  3. Quantum Mathematics:
    Research related to quantum theories and their mathematical foundations is trending, as the field of quantum computing and quantum information theory gains traction.
  4. Geometric Analysis:
    This area is witnessing significant growth, particularly studies that combine techniques from differential geometry with analysis to solve complex problems in mathematical physics.
  5. Topological Data Analysis:
    The application of topology in data science is emerging as a vital area of research, focusing on the shape and structure of data and its implications for understanding complex systems.

Declining or Waning

As the journal continues to evolve, certain themes that were previously more prominent are beginning to see a decline in publication frequency. This reflects shifts in research interests and emerging areas of focus.
  1. Classical Geometry:
    While still a relevant area, classical geometric studies have seen a decrease in publications compared to the rise of more abstract and algebraic geometric approaches.
  2. Elementary Number Theory:
    Research specifically in elementary approaches to number theory seems to be waning as more complex and abstract techniques gain popularity.
  3. Traditional Combinatorial Techniques:
    While combinatorial mathematics remains important, traditional methods are being overshadowed by more modern approaches that incorporate algebraic and topological perspectives.

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