Oosthuizen, RudolphPretorius, L2021-01-042021-01-042020-07Oosthuizen, R., and Pretorius, L. 2020. A bibliometric method for analysis of systems engineering research. 30th Annual INCOSE International Symposium, Cape Town, 18 - 23 July 2020, 15pp.https://www.incose.org/events-and-news/incose-and-se-news/2018/05/30/2020-international-symposium-in-cape-townhttp://hdl.handle.net/10204/11697This is the full text version of the work.Since systems engineering is still a relatively young and growing discipline, it requires a periodic analysis, taking into account past research to derive the requirements for future growth. Published research provides a good indication on the progress and maturity of a scientific discipline. Bibliometric analysis is a valuable tool to assess published research. This paper establishes a method to determine the main research topics published in the Systems Engineering Journal (INCOSE) since its inception. The research and associated analysis method applies Natural Language Processing with Topic Modelling to extract the main topics from the abstracts of all the papers published in the journal. The analyzed data provides the trends in topic coverage over time.enSystems EngineeringBibliometricsTopic modellingNatural Language ProcessingConference PresentationOosthuizen, R., & Pretorius, L. (2020). A bibliometric method for analysis of systems engineering research. International Council on Systems Engineering (INCOSE). http://hdl.handle.net/10204/11697Oosthuizen, Rudolph, and L Pretorius. "A bibliometric method for analysis of systems engineering research." (2020): http://hdl.handle.net/10204/11697Oosthuizen R, Pretorius L, A bibliometric method for analysis of systems engineering research; International Council on Systems Engineering (INCOSE); 2020. http://hdl.handle.net/10204/11697 .TY - Conference Presentation AU - Oosthuizen, Rudolph AU - Pretorius, L AB - Since systems engineering is still a relatively young and growing discipline, it requires a periodic analysis, taking into account past research to derive the requirements for future growth. Published research provides a good indication on the progress and maturity of a scientific discipline. Bibliometric analysis is a valuable tool to assess published research. This paper establishes a method to determine the main research topics published in the Systems Engineering Journal (INCOSE) since its inception. The research and associated analysis method applies Natural Language Processing with Topic Modelling to extract the main topics from the abstracts of all the papers published in the journal. The analyzed data provides the trends in topic coverage over time. DA - 2020-07 DB - ResearchSpace DP - CSIR KW - Systems Engineering KW - Bibliometrics KW - Topic modelling KW - Natural Language Processing LK - https://researchspace.csir.co.za PY - 2020 T1 - A bibliometric method for analysis of systems engineering research TI - A bibliometric method for analysis of systems engineering research UR - http://hdl.handle.net/10204/11697 ER -