Field-normalized scores based on Web of Science and Microsoft Academic data - A case study in computer sciences

In the present study, we tackle the issue of field-normalization for the first time in Microsoft Academic and with a large dataset. We analyze the publications of an anonymous computer science institute with a field-normalized indicator in MA and WoS, thereby assessing the convergent validity of MA. We receive comparable normalized scores and other statistical measures in both databases. Thus, MA data seems suitable for field-normalization.