Information For Librarians

BEMO · LIBRARY INFORMATION

Supporting Scholarly Discovery

Connecting academic libraries with advances in mathematical modelling and optimization.

Bioenvironmental Modelling and Optimization (BEMO) invites academic and research librarians to include the journal in their institutional electronic journal collections, library catalogues, and scholarly resource directories.

BEMO focuses on advancing mathematical modelling, dynamical systems, mathematical analysis, numerical methods, and optimization, particularly in biological and environmental systems. Its scholarly content is relevant to researchers, faculty members, postgraduate students, and academic communities working in applied mathematics and interdisciplinary mathematical research.

Library Collection and Discovery

Librarians are encouraged to facilitate the discovery of BEMO through institutional library catalogues, electronic journal listings, research guides, and relevant academic information services. Accurate journal metadata and links to the official journal website can support scholarly visibility and access.

Publication Information

Journal Title:
Bioenvironmental Modelling and Optimization (BEMO)

Primary Discipline: Applied Mathematics

Research Focus: Mathematical Modelling, Dynamical Systems, Mathematical Analysis, and Optimization

Application Areas: Biological and Environmental Systems

Publication Frequency: Biannual (June and December)

Journal Website: BEMO Official Website

Scholarly Publishing Infrastructure

BEMO operates through Open Journal Systems (OJS), an open-source journal management and publishing platform developed by the Public Knowledge Project (PKP).

Libraries interested in supporting scholarly publishing initiatives may explore OJS as a platform for managing and hosting academic journals.

Explore Open Journal Systems

Learn More About OJS

BEMO welcomes the support of academic libraries in promoting the discoverability, accessibility, and dissemination of mathematical modelling research.

Advancing Mathematical Modelling and Optimization in Biological and Environmental Systems.