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A bibliometric method for analysis of systems engineering research

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dc.contributor.author Oosthuizen, Rudolph
dc.contributor.author Pretorius, L
dc.date.accessioned 2021-01-04T11:24:00Z
dc.date.available 2021-01-04T11:24:00Z
dc.date.issued 2020-07
dc.identifier.citation Oosthuizen, 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. en_US
dc.identifier.uri https://www.incose.org/events-and-news/incose-and-se-news/2018/05/30/2020-international-symposium-in-cape-town
dc.identifier.uri http://hdl.handle.net/10204/11697
dc.description This is the full text version of the work. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher International Council on Systems Engineering (INCOSE) en_US
dc.relation.ispartofseries Worklist;23985
dc.subject Systems Engineering en_US
dc.subject Bibliometrics en_US
dc.subject Topic modelling en_US
dc.subject Natural Language Processing en_US
dc.title A bibliometric method for analysis of systems engineering research en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Oosthuizen, R., & Pretorius, L. (2020). A bibliometric method for analysis of systems engineering research. International Council on Systems Engineering (INCOSE). http://hdl.handle.net/10204/11697 en_ZA
dc.identifier.chicagocitation Oosthuizen, Rudolph, and L Pretorius. "A bibliometric method for analysis of systems engineering research." (2020): http://hdl.handle.net/10204/11697 en_ZA
dc.identifier.vancouvercitation Oosthuizen 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 . en_ZA
dc.identifier.ris 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 - en_ZA


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