Cognitive similarity is a fundamental concept in the peer review process and the research funding programs. It can help to find qualified experts in a field in the refereeing or evaluation process. The main objective of this work is to find an automatic way to determine cognitive similarity based on bibliographic information retrieval using the Scopus database. In this paper, we will compare different measures of cognitive similarity between pairs of authors through the whole publication portfolio of both. These measures are based on the authors’ publications and citations, at different levels of depth of authorship and citation networks. We have applied bibliographic coupling and text-based techniques. We have expressed these measures as cosine similarity. For this work, we use a small empirical case study with authors in the fields related to artificial intelligence to compare the measures of cognitive similarity. The results of this study show that the use of combined measures using bibliographic coupling and text-based can provide more information on the cognitive similarity between a pair of authors.