BULLETIN OF MATHEMATICAL BIOLOGY

Scope & Guideline

Elevating Research in Mathematical Biology Since 1973

Introduction

Delve into the academic richness of BULLETIN OF MATHEMATICAL BIOLOGY 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
ISSN0092-8240
PublisherSPRINGER
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1973 to 2024
AbbreviationB MATH BIOL / Bull. Math. Biol.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The Bulletin of Mathematical Biology focuses on the intersection of mathematics and biology, providing a platform for research that employs mathematical modeling to explore biological processes. The journal covers a wide range of topics, emphasizing the development and application of mathematical techniques to solve complex biological problems.
  1. Mathematical Modeling of Biological Processes:
    The journal publishes papers that develop mathematical models to describe a variety of biological phenomena, including population dynamics, disease spread, and cellular interactions.
  2. Interdisciplinary Approaches:
    Contributions often adopt interdisciplinary methods, integrating mathematics with biology, epidemiology, ecology, and bioinformatics to address real-world biological challenges.
  3. Stochastic and Deterministic Models:
    Both stochastic and deterministic models are featured, allowing for the examination of variability and uncertainty in biological systems.
  4. Application to Health and Disease:
    Research often focuses on health-related topics, including disease modeling, treatment strategies, and public health interventions, making significant contributions to medical and epidemiological understanding.
  5. Phylogenetics and Evolutionary Biology:
    The journal includes studies related to phylogenetics, evolutionary dynamics, and the mathematical foundations of biological diversity, contributing to our understanding of evolutionary processes.
  6. Modeling Techniques and Computational Methods:
    Papers frequently discuss novel mathematical techniques and computational methods for simulating biological systems, enhancing the understanding of complex interactions and dynamics.
The Bulletin of Mathematical Biology has shown a responsiveness to emerging trends in both mathematics and biological sciences. This section outlines the current trending and emerging themes that reflect the evolving landscape of research in mathematical biology.
  1. Complex Systems and Network Theory:
    There is an increasing focus on the application of complex systems theory and network analysis to biological problems, particularly in understanding interactions within ecosystems and disease spread.
  2. Machine Learning and Data-Driven Approaches:
    The integration of machine learning techniques into mathematical modeling is gaining traction, with researchers using these approaches to enhance predictions and model parameterization.
  3. Multiscale Modeling:
    Emerging studies are increasingly exploring multiscale modeling approaches that consider biological processes at different scales, from molecular to population levels, reflecting the complexity of biological systems.
  4. Epidemiological Modeling in Response to Global Health Crises:
    The journal has seen a surge in publications related to modeling infectious diseases, especially in light of the COVID-19 pandemic, indicating a growing interest in public health-related mathematical biology.
  5. Mathematical Ecology and Conservation Biology:
    Research in mathematical ecology, particularly related to conservation efforts and the dynamics of species interactions within ecosystems, is becoming more prominent.

Declining or Waning

While the Bulletin of Mathematical Biology continues to thrive in many areas, certain themes have shown a decline in publication frequency over time. This section highlights these waning scopes, reflecting shifts in research focus and interest within the mathematical biology community.
  1. Basic Theoretical Biology:
    There appears to be a decrease in purely theoretical contributions that do not apply mathematical models to specific biological questions, indicating a trend towards more applied research.
  2. Simplistic Models of Disease Dynamics:
    Models that utilize overly simplistic frameworks without accounting for the complexities of real-world scenarios are less frequently published, as the field moves towards more comprehensive and realistic modeling approaches.
  3. Non-interactive Models:
    Research focusing on non-interactive or isolated models, which do not consider the interactions between multiple species or factors, seems to be declining in favor of more integrative studies.
  4. Single-Domain Studies:
    There is a noticeable reduction in studies that focus strictly within one biological domain (e.g., only ecological models) without incorporating cross-disciplinary insights.

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