The scientific research on aquaculture efficiency and productivity has been increasing over the years. This study aims to identify the publication trends and growth potential of aquaculture efficiency and productivity studies. A bibliometric analysis was employed for a sample of 85 scientific articles published during the 1998–2020 period. The findings show that authors and institutions have close groups in collaboration networks. Through the citation analysis, three clusters were obtained that were related to the use of stochastic frontier analysis in an empirical application, Norwegian salmon aquaculture, and different types of farms. For the temporal evolution of the keywords, earlier existing studies adopted a stochastic translog production function to assess the technical efficiency of aquaculture production, whereas later studies used data envelopment analyses, which focused on more diverse research objectives. The farms or subsectors of aquaculture in Norway, Bangladesh, and Vietnam have been analyzed in-depth for the efficiency and productivity in the existing studies. Education, experience, and age are often used as determinants to explain the variations in technical efficiency. The present study concludes that aquaculture efficiency and productivity research is not moving toward a mature stage. Several of the discovered issues are only focused on specific countries, and there is still room for methodological improvement in assessing aquaculture efficiency and productivity. Nevertheless, research collaborations are growing, and new research trends that are related to environmental regulation and pollution show great interest in aquaculture efficiency and productivity. This study provides a clear roadmap for researchers and practitioners to understand the publication patterns and hotspots in the research in this field.

多年来，有关水产养殖效率和生产力的科学研究一直在增加。本研究旨在确定水产养殖效率和生产力研究的出版趋势和增长潜力。1998年至2020年间发表的85篇科学文章的样本采用了文献计量分析。研究结果表明，作者和机构在协作网络中有紧密的联系。通过引文分析，获得了三个集群，它们与在经验应用，挪威鲑鱼养殖和不同类型的养殖场中的随机前沿分析的使用有关。对于关键字的时间演变，较早的现有研究采用了随机的对数生产函数来评估水产养殖生产的技术效率，而后来的研究则使用数据包络分析，这些分析着重于更多样化的研究目标。在现有研究中，已经对挪威，孟加拉国和越南的水产养殖场或分部门进行了深入分析，以提高效率和生产力。教育程度，经验和年龄通常被用作解释技术效率变化的决定因素。本研究得出的结论是，水产养殖效率和生产力的研究尚未进入成熟阶段。一些发现的问题仅针对特定国家，在评估水产养殖效率和生产力方面仍有方法上的改进空间。不过，研究合作在不断发展，与环境调节和污染有关的新研究趋势显示出对水产养殖效率和生产力的浓厚兴趣。这项研究为研究人员和从业人员提供了清晰的路线图，以了解该领域研究的出版方式和热点。