This study set out to explore the basic features of the field by using scientific articles in the field of Technology and Engineering Management (TEM). In this context, publication data indexed in Web of Science (WoS) were used. The obtained data were recorded in the relational database and prepared for analysis. In the analysis of the data, the R programming language, the CiteSpace and the Ggplot2 library were used. Social Network Analysis (SNA) and Bibliometric were used as methods. Accordingly, the longest-running journal in the field is IEEE-TEM. We identified 6 basic clusters in TEM studies; Open innovation, management practices, bibliometric analysis, corporate opinion, academic success creation and health technology literature. Author collaboration in the TEM field shows an increasing trend. For 2018, the average number of authors per publication was calculated as 2.98. In the area of TEM, literature obsolescence (aging) ranges from 12 to 18 years. In terms of the topics discussed in the field, a change has been observed since 2003. In other words, number of researches on the topics in SMEs, regional information system, efficiency measurement model and strategic information system clusters has been decreasing since 2003.
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机译：这项研究旨在通过使用技术和工程管理（TEM）领域的科学文章探索该领域的基本特征。在这种情况下，使用在Web of Science（WoS）中建立索引的出版物数据。将获得的数据记录在关系数据库中，并准备进行分析。在数据分析中，使用了R编程语言，CiteSpace和Ggplot2库。使用社交网络分析（SNA）和文献计量法作为方法。因此，该领域中运行时间最长的期刊是IEEE-TEM。我们在TEM研究中确定了6个基本簇。开放式创新，管理实践，文献计量分析，公司意见，学术成就创造和卫生技术文献。 TEM领域中的作者合作显示出上升的趋势。对于2018年，每个出版物的平均作者人数为2.98。在TEM领域，文献的过时（老化）范围为12到18年。在该领域中讨论的主题方面，自2003年以来观察到了变化。换句话说，自2003年以来，有关中小企业，区域信息系统，效率测量模型和战略信息系统集群的主题的研究数量一直在减少。
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