Visualization Supporting Talent Portrait Generation:an Empirical Study

TL;DR

This paper explores how visualization techniques can support the generation of talent portraits by analyzing scientists' career trajectories, research achievements, collaborations, and academic inheritance to understand their development patterns.

Contribution

It introduces an empirical approach to visualize scientists' career data, providing insights into their academic trajectories and collaborative networks.

Findings

Visualization reveals patterns in scientists' career development

Correlations between personal trajectories and research output are identified

Enhanced understanding of academic inheritance and collaboration networks

Abstract

In today' s era of scientific and technological advancements, the importance of talent resources is increasingly highlighted. This article will attempt to summarize the academic trajectories and successes of numerous scientists from both past and present, aiming to reproduce the correlation between scientists' personal development and their academic output. Firstly, this article analyzes the life trajectories of researchers, visualizing their research accomplishments, collaborative partners, and research inheritance, and analyze based on the results.