{"title":"遗传学棱镜:基于引文的学术研究进化的多面可视化。","authors":"Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia, Lei Shi","doi":"10.1109/TVCG.2025.3589485","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding the evolution of scholarly research is essential for many real-life decision-making processes in academia, such as research planning, frontier exploration, and award selection. Popular platforms like Google Scholar and Web of Science rely on numerical indicators that are too abstract to convey the context and content of scientific research, while most existing visualization approaches on mapping science do not consider the presentation of individual scholars' research evolution using curated self-citation data. This paper builds on our previous work and proposes an integrated pipeline to visualize a scholar's research evolution from multiple topic facets. A novel 3D prism-shaped visual metaphor is introduced as the overview of a scholar's research profile, whilst their scientific evolution on each topic is displayed in a more structured manner. Additional designs by topic chord diagram, streamgraph visualization, and inter-topic flow map, optimized by an elaborate layout algorithm, assist in perceiving the scholar's scientific evolution across topics. A new six-degree-impact glyph metaphor highlights key interdisciplinary works driving the evolution. The proposed visualization methods are evaluated through case studies analyzing the careers of prestigious Turing award laureates, one major visualization venue, and a focused user study. The GeneticPrism web application is publicly available at https://genetic-flow.com.</p>","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GeneticPrism: Multifaceted Visualization of Citation-based Scholarly Research Evolution.\",\"authors\":\"Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia, Lei Shi\",\"doi\":\"10.1109/TVCG.2025.3589485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding the evolution of scholarly research is essential for many real-life decision-making processes in academia, such as research planning, frontier exploration, and award selection. Popular platforms like Google Scholar and Web of Science rely on numerical indicators that are too abstract to convey the context and content of scientific research, while most existing visualization approaches on mapping science do not consider the presentation of individual scholars' research evolution using curated self-citation data. This paper builds on our previous work and proposes an integrated pipeline to visualize a scholar's research evolution from multiple topic facets. A novel 3D prism-shaped visual metaphor is introduced as the overview of a scholar's research profile, whilst their scientific evolution on each topic is displayed in a more structured manner. Additional designs by topic chord diagram, streamgraph visualization, and inter-topic flow map, optimized by an elaborate layout algorithm, assist in perceiving the scholar's scientific evolution across topics. A new six-degree-impact glyph metaphor highlights key interdisciplinary works driving the evolution. The proposed visualization methods are evaluated through case studies analyzing the careers of prestigious Turing award laureates, one major visualization venue, and a focused user study. The GeneticPrism web application is publicly available at https://genetic-flow.com.</p>\",\"PeriodicalId\":94035,\"journal\":{\"name\":\"IEEE transactions on visualization and computer graphics\",\"volume\":\"PP \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on visualization and computer graphics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TVCG.2025.3589485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on visualization and computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TVCG.2025.3589485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
了解学术研究的演变对于学术界许多现实生活中的决策过程至关重要,例如研究规划、前沿探索和奖项选择。谷歌Scholar和Web of Science等流行平台依赖于数字指标,这些指标过于抽象,无法传达科学研究的背景和内容,而大多数现有的科学可视化方法都没有考虑使用精心整理的自引用数据来呈现单个学者的研究演变。本文以我们之前的工作为基础,提出了一个集成的管道,从多个主题方面可视化学者的研究演变。一个新颖的三维棱镜形视觉隐喻被引入作为学者研究概况的概述,同时他们在每个主题上的科学演变以更结构化的方式展示。通过主题和弦图、流图可视化和主题间流程图的附加设计,通过精心设计的布局算法优化,帮助感知学者跨主题的科学演变。一个新的六度影响象形隐喻突出了推动进化的关键跨学科工作。本文通过分析著名图灵奖得主的职业生涯、一个主要的可视化场所和一个集中的用户研究来评估所提出的可视化方法。GeneticPrism web应用程序可在https://genetic-flow.com公开获取。
GeneticPrism: Multifaceted Visualization of Citation-based Scholarly Research Evolution.
Understanding the evolution of scholarly research is essential for many real-life decision-making processes in academia, such as research planning, frontier exploration, and award selection. Popular platforms like Google Scholar and Web of Science rely on numerical indicators that are too abstract to convey the context and content of scientific research, while most existing visualization approaches on mapping science do not consider the presentation of individual scholars' research evolution using curated self-citation data. This paper builds on our previous work and proposes an integrated pipeline to visualize a scholar's research evolution from multiple topic facets. A novel 3D prism-shaped visual metaphor is introduced as the overview of a scholar's research profile, whilst their scientific evolution on each topic is displayed in a more structured manner. Additional designs by topic chord diagram, streamgraph visualization, and inter-topic flow map, optimized by an elaborate layout algorithm, assist in perceiving the scholar's scientific evolution across topics. A new six-degree-impact glyph metaphor highlights key interdisciplinary works driving the evolution. The proposed visualization methods are evaluated through case studies analyzing the careers of prestigious Turing award laureates, one major visualization venue, and a focused user study. The GeneticPrism web application is publicly available at https://genetic-flow.com.