Overview
Evolutionary processes encompass the mechanisms by which populations of organisms change genetically over time, including natural selection, genetic drift, mutation, and gene flow. Research published in this journal examines these processes through diverse lenses, from theoretical modeling to applied investigations. Studies have explored the mathematical frameworks underlying mutational dynamics in populations, providing quantitative approaches to understanding how genetic variation accumulates and spreads. The journal has published work on genetic drift methodologies for inferring evolutionary trajectories and extinction risks based on allele frequency changes. Investigations have extended to unusual environmental contexts, such as the potential interactions between natural nuclear reactors and microbial evolution, examining how extreme radiation environments may influence genetic change. Phylogenetic analyses have been applied to specific populations, including studies assessing genetic relationships within disease-affected animal groups. Additionally, the journal has featured conceptual examinations of evolutionary theory itself, revisiting foundational principles and their contemporary interpretations. This body of work reflects the interdisciplinary nature of evolutionary research, integrating genetics, mathematics, ecology, and theoretical biology to advance understanding of how life diversifies and adapts across time scales and environmental conditions.
Research published in this journal
5 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Conservation, Creation, and Evolution: Revising the Darwinian Project
Genetic-Mathematical Modelling of Mutational Processes in a Population
Allele Based Inference on Evolution and Extinction; A Genetic Drift Approach
Evaluations of phylogenetic proximity in a group of 67 dogs with osteosarcoma: a pilot study
How this research is being cited
The 5 articles above have been cited 33 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2025 · Communications Biology
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2025 · Artificial Life
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2025 · Scientific Reports
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2025 · Communications Biology
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2025 · Ethical Review of Social Sciences
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2025 · Scientific Reports
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2024 · Nature Communications
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2024 · SSRN Electronic Journal
A sample of recent works citing this journal's research on Evolutionary Processes, linking to each citing work.