1992-2021 Bibliographic data on scheduling algorithms research extracted from Scopus

This dataset contained 12,644 peer-reviewed documents extracted from the Scopus database. The search string for extracting the data:( TITLE-ABS-KEY ( "Scheduling Algorithm*" ) AND TITLE-ABS-KEY ( "Multilevel queue" OR "Round Robin" OR "Shortest Job First" OR "First Come First Serve" OR "Shortest Remaining Time" OR "Priority queue" OR "Makespan" OR "average waiting time" OR "turnaround time" OR "Context Switch*" OR "Completion time" OR "Resource allocation" OR "Time Quantum" OR "Grid computing" OR "Cloud Computing" OR "Edge Computing" OR "Fuzzy Computing" OR "Evolutionary Computing" OR "Green Computing" ) ) AND ( EXCLUDE ( SRCTYPE , "Undefined" ) ) AND ( EXCLUDE ( PUBSTAGE , "aip" ) ) AND ( LIMIT-TO (PUBYEAR > 1991 AND PUBYEAR < 2022)) AND ( LIMIT-TO ( LANGUAGE , "English" ) ). The data can be used to examine the development status of the field of Scheduling Algorithms, the growth rate, emerging thematic areas for further research, institutions, and country collaborations. It also identified the most impactful and leading authors, keywords, sources, and publications in this field. The findings can help both budding and established researchers to find new research focus, collaboration opportunities and make an informed decision as they research the field of scheduling algorithms and their applications.本数据集包含从Scopus数据库（Scopus）中提取的12644篇同行评议文献（peer-reviewed documents）。本次数据提取所用的检索逻辑为：通过标题-摘要-关键词字段（TITLE-ABS-KEY）匹配包含调度算法（Scheduling Algorithm*）的文献，且同时通过该字段匹配包含以下任一主题的文献：多级队列（Multilevel queue）、轮转调度（Round Robin）、最短作业优先（Shortest Job First）、先来先服务（First Come First Serve）、最短剩余时间优先（Shortest Remaining Time）、优先级队列（Priority queue）、总完工时间（Makespan）、平均等待时间（average waiting time）、周转时间（turnaround time）、上下文切换（Context Switch*）、完成时间（Completion time）、资源分配（Resource allocation）、时间片（Time Quantum）、网格计算（Grid computing）、云计算（Cloud Computing）、边缘计算（Edge Computing）、模糊计算（Fuzzy Computing）、进化计算（Evolutionary Computing）、绿色计算（Green Computing）；同时排除文献类型（SRCTYPE）为「未定义」的条目，排除出版阶段（PUBSTAGE）为「aip」的文献；限定出版年份（PUBYEAR）为1992至2021年；限定语言（LANGUAGE）为英语。 本数据集可用于剖析调度算法领域的发展现状、增长速率、可供后续研究的新兴主题方向，以及机构与国家间的合作态势。 此外，本数据集还可用于识别该领域内影响力最显著的核心作者、关键词、文献来源与高影响力出版物。 相关研究结果可帮助初入该领域的新手研究者与资深学者，在调度算法及其应用的研究过程中，发掘新的研究方向与合作机遇，并做出更具依据的研究决策。