Mohammad Sadegh Khorshidi, José M. Merigó, Ghassan Beydoun
{"title":"Half a Century of Information Processing & Management: A bibliometric retrospective","authors":"Mohammad Sadegh Khorshidi, José M. Merigó, Ghassan Beydoun","doi":"10.1016/j.ipm.2025.104238","DOIUrl":null,"url":null,"abstract":"<div><div>Established in 1963 under the title Information Storage and Retrieval, the journal adopted its current name, Information Processing & Management (IPM), in 1975, reflecting a broadening scope aligned with computational and cognitive developments in information science. This study uses data from Web of Science and Scopus databases to deliver a longitudinal, multi-perspective bibliometric and science mapping analysis of IPM’s evolution from 1963 to 2023. Employing co-citation analysis, bibliographic coupling, keyword co-occurrence, and thematic mapping via VOSviewer and Bibliometrix, the analysis delineates the structural, conceptual, and topical transformation of the journal content. Co-citation networks uncover foundational cores in information retrieval, relevance theory, and evaluation methodologies, while also revealing temporal shifts toward natural language processing, deep learning, and social media analytics. Bibliographic coupling identifies coherent intellectual clusters centered on GNN-based recommendation systems, blockchain-secured infrastructures, and sentiment-aware retrieval frameworks. Keyword co-occurrence and topic evolution trajectories illustrate the journal’s recent pivot toward transformer models, misinformation detection, ethical AI, and interdisciplinary convergence across cognitive science, machine learning, and computational linguistics. Regional co-word analysis underscores epistemological diversity and geographic differentiation across North America, Europe, and East Asia. Productivity and influence metrics highlight the ascent of East Asian institutions and the emergence of globally distributed citation impact. Finally, SciVal-based topic and topic cluster analyses reveal the journal’s role in advancing highly cited research (as measured by FWCI) in areas such as ABSA, multi-view clustering, and health informatics. This work not only charts IPM’s conceptual landscape and disciplinary diffusion but also provides actionable intelligence on the journal’s strategic positioning within the broader information and computational sciences.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"62 6","pages":"Article 104238"},"PeriodicalIF":7.4000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing & Management","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306457325001797","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Established in 1963 under the title Information Storage and Retrieval, the journal adopted its current name, Information Processing & Management (IPM), in 1975, reflecting a broadening scope aligned with computational and cognitive developments in information science. This study uses data from Web of Science and Scopus databases to deliver a longitudinal, multi-perspective bibliometric and science mapping analysis of IPM’s evolution from 1963 to 2023. Employing co-citation analysis, bibliographic coupling, keyword co-occurrence, and thematic mapping via VOSviewer and Bibliometrix, the analysis delineates the structural, conceptual, and topical transformation of the journal content. Co-citation networks uncover foundational cores in information retrieval, relevance theory, and evaluation methodologies, while also revealing temporal shifts toward natural language processing, deep learning, and social media analytics. Bibliographic coupling identifies coherent intellectual clusters centered on GNN-based recommendation systems, blockchain-secured infrastructures, and sentiment-aware retrieval frameworks. Keyword co-occurrence and topic evolution trajectories illustrate the journal’s recent pivot toward transformer models, misinformation detection, ethical AI, and interdisciplinary convergence across cognitive science, machine learning, and computational linguistics. Regional co-word analysis underscores epistemological diversity and geographic differentiation across North America, Europe, and East Asia. Productivity and influence metrics highlight the ascent of East Asian institutions and the emergence of globally distributed citation impact. Finally, SciVal-based topic and topic cluster analyses reveal the journal’s role in advancing highly cited research (as measured by FWCI) in areas such as ABSA, multi-view clustering, and health informatics. This work not only charts IPM’s conceptual landscape and disciplinary diffusion but also provides actionable intelligence on the journal’s strategic positioning within the broader information and computational sciences.
《信息存储与检索》创刊于1963年,当时的名称是《信息处理与检索》。管理(IPM), 1975年,反映了与信息科学的计算和认知发展相一致的扩大范围。本研究利用Web of Science和Scopus数据库的数据,对1963年至2023年IPM的演变进行了纵向、多视角的文献计量学和科学制图分析。利用共被引分析、书目耦合、关键词共现以及通过VOSviewer和Bibliometrix进行的专题映射,该分析描绘了期刊内容的结构、概念和主题转变。共引网络揭示了信息检索、关联理论和评估方法的基本核心,同时也揭示了自然语言处理、深度学习和社交媒体分析的时间变化。书目耦合识别以基于gnn的推荐系统、区块链安全基础设施和情感感知检索框架为中心的连贯智能集群。关键词共现和主题演变轨迹表明,该期刊最近转向了变形模型、错误信息检测、伦理人工智能以及认知科学、机器学习和计算语言学的跨学科融合。区域共词分析强调了北美、欧洲和东亚的认识论多样性和地理差异。生产力和影响力指标突出了东亚机构的崛起和全球分布式引文影响的出现。最后,基于scivar的主题和主题聚类分析揭示了该期刊在ABSA、多视图聚类和健康信息学等领域推动高被引研究(由FWCI衡量)方面的作用。这项工作不仅描绘了IPM的概念景观和学科扩散,而且还为期刊在更广泛的信息和计算科学中的战略定位提供了可操作的情报。
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.