Matematiksel Modelleme ile Gerçekleştirilen Bilimsel Çalışmaların Bibliyometrik Analizi

Year 2024, Volume: 11 Issue: 3, 107 - 136

Elif Boran , Nezihe Korkmaz Güler , Kamuran Tarım

https://doi.org/10.17278/ijesim.1503365

Abstract

Bu bibliyometrik çalışma, eğilimleri ve temel katkıda bulunanları belirlemek için matematiksel modelleme alanındaki bilimsel yayınları analiz etmektedir. Araştırmalar son on yılda yükseliş eğilimi gösterirken, 2018'den bu yana özellikle İngilizce yayınlarda bir düşüş kaydedilmiştir. Uluslararası alanda tanınan kurumlar, genellikle büyük yayıncılar tarafından yayınlanan katkılarda başı çekmektedir. Çalışma, gelecekteki araştırmalara potansiyel olarak rehberlik edecek geniş bir genel bakış sunmaktadır. Dağılım analizi, ABD'nin başı çektiği ancak Çin, Endonezya ve İspanya'dan kayda değer girdilerin olduğu katkıları ve ülke eğilimlerini dikkate almaktadır. Yazarlar ve bağlı oldukları kurumlar arasındaki atıf ağları sık sık işbirliği yapıldığını göstermektedir. Sonuç olarak, bu çalışma matematiksel modelleme alanındaki araştırma dinamiklerini aydınlatmakta ve gelecekteki çalışmalar için zemin hazırlamaktadır.

Keywords

Matematiksel Modelleme, Bibliyometrik Analiz, STEM Eğitimi, Problem Çözme, Gerçek Dünya Problemleri

Bibliometric Analysis of Scientific Studies Performed with Mathematical Modelling

Abstract

This bibliometric study analyzes scientific publications in mathematical modeling to identify trends and key contributors. While research showed an upward trajectory over the past decade, a decline since 2018 was noted, primarily in English publications. Internationally recognized institutions lead in contributions, often published by major publishers. The study offers a broad overview, potentially guiding future research. Distribution analysis considers contributions and country trends, with the United States leading but notable input from China, Indonesia, and Spain. Citation networks among authors and their affiliated institutions demonstrate frequent collaboration. In conclusion, this study illuminates research dynamics in mathematical modeling, laying groundwork for future endeavors.

Keywords

Mathematical Modelling, Bibliometric Analysis, STEM Education, Problem Solving, Real-World Problems

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