Mapping Hotspots and Emerging Trends in Global Wetlands Research: A Scientometric Analysis (2002–2022)
Notice bibliographique
Résumé
Recent studies have focused on wetlands due to their benefits for human spiritual satisfaction and mental health. This paper conducted a scientometric analysis of 2,388 studies published in the Web of Science database between 2002 and 2022. Using VOSviewer, Origin, and CiteSpace software, this study identified research hotspots and emerging trends in wetland research. The analysis revealed an upward trend in global wetland research publications, with notable contributions from researchers in the United States, China, Australia, Canada, and India. Network keyword co-occurrence analysis highlighted primary research themes, including constructed wetlands, climate change, wastewater treatment, phytoremediation, restoration, and hydrology. The United States emerged as the central hotspot for wetland research, with China, Canada, Australia, and other countries following. Given the growing recognition of wetlands' importance, wetland research is expected to gain even more global attention. Moreover, improvements in the quality of wetland tourism research are recommended, as most related publications have low citation rates. This paper provides a methodological overview of scientometric techniques applicable to global wetland research, offering scholars a framework for using scientometric analysis to enhance their future research. The increasing recognition of wetlands' crucial role in human well-being, encompassing both spiritual satisfaction and mental health, has led to a surge in research interest in this field. This study presents a comprehensive scientometric analysis of 2,388 wetland-related publications indexed in the Web of Science database between 2002 and 2022. Employing VOSviewer, Origin, and CiteSpace software, we mapped research hotspots and identified emerging trends within global wetland research. Our analysis reveals a significant upward trend in the volume of publications, highlighting the growing international attention to wetland ecosystems. The United States, China, Australia, Canada, and India have emerged as leading contributors to this research landscape. A network keyword co-occurrence analysis identified core research themes such as constructed wetlands, climate change, wastewater treatment, phytoremediation, ecological restoration, and hydrology. The United States is a central hub for wetland research, with China, Canada, and Australia also demonstrating substantial research activity. Given the escalating importance of wetlands in addressing global challenges, this research area is expected to attract further scholarly attention. We recommend a greater emphasis on enhancing the quality and impact of wetland tourism research, which currently exhibits low citation rates. Furthermore, this paper provides a methodological framework, demonstrating the application of scientometric techniques in global wetland research, thus empowering scholars to utilise such analytical approaches to refine their research. Our study offers a valuable and comprehensive overview of the key research areas, emerging topics, and influential contributors within the field of global wetland research.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,010 | 0,027 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».