BOHR International Journal of Scientometrics and Machine Learning (BIJSML) is an open access peer-reviewed journal that publishes articles which contribute new results in all the areas of Scientometrics and Machine Learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in this area.