Discovering characteristics implicated in scientific reward activities: a multi-dimensional observation of prestigious scientific awards

Despite scientific awards have received increasing interest of researchers, studies involving the regularities implicated in scientific reward activities aimed at combining multiple dimensions, which include award distribution, award age, peak age, collaboration pattern, award delay and award fields, have not yet been sufficiently performed. To address this limitation, this research starts from the perspective of high prestige scientific awards and focuses on F-L-P-T awards from different Science and Technology (S&T) fields as empirical objects for a multi-dimensional quantitative analysis. This study revealed several regularities and characteristics of scientific reward activities, such as the Pareto Principle of the distribution of winners, award aging, award delay between discovery and recognition, innovation peak age in scientific discovery, and the tendency of award fields. By uncovering these regularities, academia can gain a better understanding of scientific discovery and its characteristics, which could inform evidence-based policies for research evaluation and talent cultivation.