Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2025

The editorial office of Machine Learning and Knowledge Extraction would like to extend its sincere gratitude to all reviewers who contributed to the improvement of the journal quality by providing their expert opinion and evaluation of the submitted research.

We appreciate that thorough peer review demands considerable time and intellectual investment from our reviewers. In 2025, Machine Learning and Knowledge Extraction received 1176 review reports from contributors across 63 countries and territories, demonstrating the breadth of international expertise and scholarly engagement that has strengthened our publication standards.

The reviewers who agreed to have their names published this year are listed below in alphabetical order by first name. The editorial team acknowledges with gratitude all reviewers, named and anonymous alike, for their vital role in maintaining the scholarly standards of Machine Learning and Knowledge Extraction.