This article analyzes research outputs in ergonomics and human factors engineering (EHFE), revealing its intellectual structure via bibliometric techniques, co-word analysis, network analysis and science visualization tools. The population comprises 23,472 records published during 2000–2018 in 19 core journals of the human factors and ergonomics subject category in Scopus. Findings showed that in EHFE fields ‘the United States’, ‘University of Central Florida’ and ‘Stanton NA’ were the most productive country, university and author, respectively. It was also found that ‘ergonomics’ was the most frequent keyword and ‘ergonomics × human factor’ the most frequent co-occurring keywords in EHFE documents. Hierarchical cluster analysis led to creation of eight topical clusters, including among others ‘biomechanics ergonomics’, ‘work-related musculoskeletal disorders & work system design’ and ‘performance’. The results indicated that ‘biomechanics ergonomics’ was a well-matured cluster while ‘human machine interaction’, ‘ergonomics design’, ‘macro-ergonomics’ and ‘cognitive ergonomics’ were found to be emerging or declining clusters.

本文分析了人体工程学和人因工程学 (EHFE) 的研究成果，通过文献计量技术、共词分析、网络分析和科学可视化工具揭示了其知识结构。该人口包括 2000 年至 2018 年期间在 Scopus 中人为因素和人体工程学学科类别的 19 种核心期刊上发表的 23,472 条记录。调查结果显示，在 EHFE 领域，“美国”、“中央佛罗里达大学”和“斯坦顿 NA”分别是生产力最高的国家、大学和作者。还发现“人体工程学”是最常见的关键词，“人体工程学×人为因素”是 EHFE 文档中最常见的共现关键词。分层聚类分析导致创建八个主题聚类，其中包括“生物力学人体工程学”，“与工作相关的肌肉骨骼疾病和工作系统设计”和“性能”。结果表明，“生物力学工效学”是一个成熟的集群，而“人机交互”、“工效学设计”、“宏观工效学”和“认知工效学”被发现是新兴或衰落的集群。