Inicio  /  Energies  /  Vol: 12 Núm: 15 Par: August- (2019)  /  Artículo
ARTÍCULO
TITULO

Mapping Knowledge in the Economic Areas of Green Building Using Scientometric Analysis

 Artículos similares

       
 
Ming Li, Yang Wang, Jukui Zhang, Binshuo Liu, Honghai Xue, Lei Wu and Zhonghe Li    
High-rate algal ponds (HRAPs) are a highly promoted wastewater treatment system that uses sunlight as an energy source to provide the oxygen needed in the system through photosynthesis and has a high nutrient and organic matter removal capacity. In addit... ver más
Revista: Water

 
Lidriana Pinheiro, Antônio Rodrigues Ximenes Neto, Francisco Assis Aquino Bezerra Filho, Cassia Rosane Silveira Pinto, Laldiane de Souza Pinheiro, Paulo Pessoa, Regimário Lima Filho, Regina Balbino da Silva, Jáder Morais, Adryane Gorayeb, Lorenzo Bramanti and Sergio Rossi    
Seascape mapping is critical to understanding ecosystem services and managing areas with potential for fishing, power generation, mining, and tourism. Despite advances in marine geophysics, the necessary equipment to make underwater cartography can be ex... ver más
Revista: Water

 
Konstantina Ragazou, Ioannis Passas, Alexandros Garefalakis, Emilios Galariotis and Constantin Zopounidis    
Organizations may examine both past and present data with the aid of information management, giving them access to all the knowledge they need to make sound strategic choices. For the majority of contemporary enterprises, using data to make relevant, val... ver más

 
Lihong Zhang, Saeed Reza Mohandes, Yizhuo Tong, Clara Cheung, Saeed Banihashemi and Miyuan Shan    
Although many studies have focused on digital transformation and sustainability within the realm of project management, there has been a lack of research that comprehensively reviews the current state of the art of the aforementioned subject using a holi... ver más
Revista: Buildings

 
Ryunosuke Komura and Masayuki Matsuoka    
Malaria is a major public health concern, and accurate mapping of malaria risk is essential to effectively managing the disease. However, current models are unable to predict malaria risk with high temporal and spatial resolution. This study describes a ... ver más