4.7 Article

A scientometric analysis of agricultural pollution by using bibliometric software VoSViewer and Histcite™

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 29, 期 25, 页码 37882-37893

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-18491-w

关键词

Agricultural pollution; Soil pollution; Water pollution; Environmental pollution; Scientometric analysis; Network analysis

资金

  1. National Natural Science Foundation of China [51961125102, 31771680, 31871840, 71904064]
  2. Beijing Municipal Natural Science Foundation [6182012]
  3. Fundamental Research Funds for the Central Universities of China [JUSRP51730A]
  4. Modern Agriculture Funds of Jiangsu Province [BE2018334, BK20190580]
  5. 111 Project [B12018]
  6. Research Funds for New Faculty of Jiangnan University

向作者/读者索取更多资源

This study conducted a scientometric analysis of agricultural pollution by analyzing a large number of publications in the field. The research identified hot topics in agricultural pollution research, such as soil, agriculture, contamination, environment, lead, and balance. Additionally, five leading research co-cited reference clusters were identified, as well as the recent research trend.
While modern agriculture brings more food to people, it causes environmental pollution as well. Agricultural pollution has attracted extensive public attention. A lot of reviews on agricultural research were conducted from different research aspects, but there is a lack of work on analyzing the research trend from large volumes of publications in the field of agricultural pollution. In the present work, a scientometric analysis of agricultural pollution was conducted to fill the gap by using the software of VoSviewer and HistCite (TM). The datasets are collected from the core database of Web of Science from 1991 to 2019, totally 1338 records on the topic of agricultural pollutions. In most years (1996, 1999, 2002, 2006, 2009, 2011, and 2013), the total local citation score (TLCS) and total global citation score (TGCS) have coincident peaks. Zhang, Ju, and Zhu have the highest TLCS and TGCS. In terms of institutes, Chinese Acad Sci and China Agr Univ are the leading institutes in this field. The Univ Calif Davis, INRA, and USDA ARS have very high global impacts. From the research hot topics, the representative words include soil, agriculture, contamination, environment, lead, and balance. Representative words like heavy-metals, groundwater, land-use, and water are emerging in the latter time period. Five leading research co-cited reference clusters are identified, including environment management, underground water, monitoring and alarming for the agriculture-environment standards, intrinsic mechanism to the circulatory system, and ecology system and land use. The recent trend is revealed from the bibliographical-coupling network, focusing on classical and old-fashion research, like pollution chemicals including N management, pesticides, and heavy metal. This work provides a holistic picture on the research in the field of agriculture pollution.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据