EXPERIMENTAL MATHEMATICS

Scope & Guideline

Advancing Theories with Innovative Experimental Insights

Introduction

Immerse yourself in the scholarly insights of EXPERIMENTAL MATHEMATICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageMulti-Language
ISSN1058-6458
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1992 to 2024
AbbreviationEXP MATH / Exp. Math.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The journal 'Experimental Mathematics' focuses on the intersection of theoretical mathematics and computational experimentation, emphasizing the utility of numerical and experimental techniques in the advancement of mathematical theory. It aims to foster a deeper understanding of mathematical concepts through practical applications and computational methods.
  1. Computational Techniques in Mathematics:
    The journal publishes research that utilizes computational methods to explore and solve mathematical problems, highlighting the importance of numerical evidence in supporting theoretical results.
  2. Theoretical Investigations with Experimental Validation:
    A core aim is to bridge the gap between theoretical mathematics and practical experimentation, where conjectures and theorems are often supported by computational experiments.
  3. Interdisciplinary Applications:
    The scope includes the application of mathematical concepts across various fields, integrating areas such as physics, computer science, and engineering to demonstrate the versatility of mathematical methods.
  4. Innovative Algorithm Development:
    Research on the development of new algorithms for solving complex mathematical problems, particularly in areas like number theory, algebra, and geometry, is a key focus.
  5. Exploration of Mathematical Conjectures:
    The journal serves as a platform for exploring and providing numerical evidence for various mathematical conjectures, often leading to new insights or discoveries.
Recent publications in 'Experimental Mathematics' indicate a dynamic evolution in research themes, with several emerging areas gaining prominence. These trends highlight the journal's adaptability and responsiveness to contemporary mathematical challenges.
  1. Numerical Analysis and Simulations:
    A growing emphasis on numerical simulations and analysis is evident, as researchers increasingly rely on computational methods to validate theoretical findings and explore complex mathematical phenomena.
  2. Algebraic Geometry and Its Applications:
    Recent papers reflect a robust interest in algebraic geometry, particularly its connections to other fields such as number theory and physics, signaling an interdisciplinary approach to research.
  3. Machine Learning and Data-Driven Mathematics:
    The incorporation of machine learning techniques into mathematical research is emerging as a significant theme, demonstrating the interplay between mathematics and data science.
  4. Topological Data Analysis:
    There is an increasing focus on topological methods in data analysis, reflecting a trend towards understanding the shape and structure of data through mathematical frameworks.
  5. Experimental Approaches to Theoretical Physics:
    The journal is witnessing a rise in publications that leverage experimental mathematics to tackle problems in theoretical physics, indicating a trend towards collaborative research across disciplines.

Declining or Waning

In recent years, certain themes within 'Experimental Mathematics' have shown a decline in publication frequency. This may reflect a shift in research focus or the evolving interests of the mathematical community.
  1. Classical Geometric Constructions:
    There has been a noticeable decrease in papers focusing on classical geometric problems, indicating a potential shift towards more abstract or computational approaches in geometry.
  2. Elementary Number Theory:
    While still relevant, topics directly related to elementary number theory appear less frequently, possibly as researchers explore more complex or computational aspects of number theory.
  3. Discrete Mathematics and Graph Theory:
    Research in discrete mathematics and graph theory, although foundational, seems to be waning in favor of more applied and computationally intensive studies, reflecting a broader trend in mathematics.

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