Moving beyond traditional electronic design automation: Data-driven design of analog circuits

Abstract

Understanding the relation between the characteristics of the referenced ideas (as expressed by the cited papers) and the expected impact of a new design (as measured by the received citation count) is important in maximizing the outcomes of the spent design effort, time, and resources. This paper presents a new methodology and the related metrics and procedures to analyze this connection. The approach was utilized to study the distinguishing features of highly-cited papers on switched capacitor filter design. A set of pattern specific to these papers are discussed in the paper.