  Gender bias, a systemic and unfair difference in how men and women are
treated in a given domain, is widely studied across different academic fields.
Yet, there are barely any studies of the phenomenon in the field of academic
information systems (IS), which is surprising especially in the light of the
proliferation of such studies in the Science, Technology, Mathematics and
Technology (STEM) disciplines. To assess potential gender bias in the IS field,
this paper outlines a study to estimate the impact of scholarly citations that
female IS academics accumulate vis-\`a-vis their male colleagues. Drawing on a
scientometric study of the 7,260 papers published in the most prestigious IS
journals (known as the AIS Basket of Eight), our analysis aims to unveil
potential bias in the accumulation of citations between genders in the field.
We use panel regression to estimate the gendered citations accumulation in the
field. By doing so we propose to contribute knowledge on a core dimension of
gender bias in academia, which is, so far, almost completely unexplored in the
IS field.
