
The aim of this study is to examine the scientific research literature on international trade and environment through bibliometric analysis. The Web of Science database was used for the study data, covering the period 1991-2023. The data were analyzed using VOSviewer 1.6.20 software. A cluster analysis was performed on the analysis results. According to the findings of the analysis, the most co-authored author is Manfred Lenzen, the most cited author is Thomas Wiedmann, the most co-cited author is John Barrett, and the three most used keywords are trade, China, and climate. The author with the highest link strength is Manfred Lenzen and the country with the highest number of co-citations is the United States of America. The journal with the highest number of publications related to the researched area is Ecological Economics. This study is of particular importance for researchers who want to gain a holistic perspective on international trade and environment by identifying key indicators in the scientific literature on international trade and environment.
Uluslararası İktisat (Diğer), Dış ticaret;çevresel sonuçlar;VOSviewer;bibliyometrik analiz, Foreign Trade;Environmental Consequences;VOSviewer;Bibliometric Analysis, International Economics (Other)
Uluslararası İktisat (Diğer), Dış ticaret;çevresel sonuçlar;VOSviewer;bibliyometrik analiz, Foreign Trade;Environmental Consequences;VOSviewer;Bibliometric Analysis, International Economics (Other)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
