Bibliometric analysis is a common and rigorous method for examining and analyzing large volumes of scientific data which can reveal the evolving nuances of a particular field while highlighting new areas within that field. There have been many bibliometric studies focusing on durum wheat; however, to our knowledge, there is no study on bibliometric analysis of durum wheat studies adressed in Türkiye. Therefore, we performed a comphrensive bibliometric analysis on durum wheat articles adressed in Türkiye. The literature search on durum wheat studies in Türkiye was conducted using only Web of Science (WOS) database. Publication date interval was limited between 01/01/2000 and 31/12/2023. Web of Science Index, document type and language were limited as Science Citation Index Expanded (SCI-Expanded), Article, and English, respectively. The data shows that there are totally 486 articles related to durum wheat addressed in Türkiye from 01/01/2000 to 31/12/2023 in 186 sources. Totally 1354 authors contributed this number of publications and number of single-authored articles was 65. On the other hand, number of co-authors per article was 4.31 and international co-authorships was 24.69%. Evaluating this data, the most productive years were 2019, 2018, and 2017 with 41, 33, 30 articles, respectively. The poorest years for article production were 2001, 2002, 2005, 2013, 2014, and 2000 with <10 articles. The top 10 keywords have been durum-wheat (86 times used), quality (51), cultivars (47), yield (47), winter-wheat (42), growth (41), grain-yield (39), plants (39), wheat (35) and genotypes (31), respectively. Collaboration network analysis illustrates that there are eight different strong author groups and especially Çukurova University, Sabancı University and Hacettepe University have collaborated many times with other organizations in Türkiye to conduct studies about durum wheat. Although there has been a slight fluctuation in recent years, it is understood that durum wheat research has increased from the past to the present in Türkiye, but studies strengthened with statistical models are needed to provide a more concrete data.
We thank to Dr. Mehmet TEKİN for his contribution to bibliometric analysis in R environment.
Primary Language | English |
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Subjects | Biostatistics |
Journal Section | Research Articles |
Authors | |
Early Pub Date | September 29, 2024 |
Publication Date | September 30, 2024 |
Submission Date | September 9, 2024 |
Acceptance Date | September 23, 2024 |
Published in Issue | Year 2024 Volume: 8 Issue: 2 |