The Covid-19 pandemic has been one of the significant factors in supply chain disruptions worldwide, and research in this domain has gained considerable attention during the last few years. However, it is crucial to understand the amount of attention each industry and problem gets to improve the quality of future research and identify research gaps. In this literature survey, 574 research papers from the Scopus database were retrieved and pre-processed to perform the analyses. A bibliometric study using keywords was conducted to unveil the various research themes in the current literature related to supply chains and Covid-19. Moreover, topic modelling was implemented using abstracts to contrast the results from the bibliometric analysis. From the studies, the frequent research streams are identified, clustered, and discussed. Moreover, future research avenues are highlighted. Additionally, it can be observed that both methodologies complement each other. On one side, the bibliometric study provides a broad perspective of the topics; on the other side, the modelling reveals more detailed themes. Hence, researchers could employ both approaches simultaneously when performing an analysis of the state-of-the-art to present an enriched research panorama. This study also highlights the use of both methods to accelerate the review process and attain better insights.