Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact
Yinyu Jin, Sha Yuan, Zhou Shao, Wendy Hall, Jie Tang

TL;DR
This study analyzes the careers and impact of 72 Turing Award laureates, revealing patterns in their educational backgrounds, collaboration, age, and publication behavior, highlighting the evolution of computer science as a discipline.
Contribution
It provides the first comprehensive bibliometric analysis of Turing Award winners, uncovering development patterns and new insights into the field's evolution and recognition criteria.
Findings
Most laureates have strong mathematical backgrounds.
High productivity and h-index are not primary award indicators.
International collaboration among laureates has surged recently.
Abstract
The Turing Award is recognized as the most influential and prestigious award in the field of computer science(CS). With the rise of the science of science (SciSci), a large amount of bibliographic data has been analyzed in an attempt to understand the hidden mechanism of scientific evolution. These include the analysis of the Nobel Prize, including physics, chemistry, medicine, etc. In this article, we extract and analyze the data of 72 Turing Award laureates from the complete bibliographic data, fill the gap in the lack of Turing Award analysis, and discover the development characteristics of computer science as an independent discipline. First, we show most Turing Award laureates have long-term and high-quality educational backgrounds, and more than 61% of them have a degree in mathematics, which indicates that mathematics has played a significant role in the development of computer…
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