18 research outputs found
Co-Authorship and Bibliographic Coupling Network Effects on Citations
Climate change adaptation (CCA) has recently emerged as a new fundamental dimension to be considered in the planning and management of water resources. Because of the need to consider the already perceived changes in climate trends, variability and extremes, and their interactions with evolving social and ecological systems, water management is now facing new challenges. The research community is expected to contribute with innovative methods and tools to support to decision- and policy-makers. Decision Support Systems (DSSs), have a relatively long history in the water management sector. They are usually developed upon pre-existing hydrologic simulation models, providing interfaces for facilitated use beyond the limited group of model developers, and specific routines for decision making (e.g. optimization methods). In recent years, the traditional focus of DSS research has shifted away from the software component, towards the process of structuring problems and aiding decisions, thus including in particular robust methods for stakeholders' participation. The paper analyses the scientific literature, identifies the main open issues, and proposes an innovative operational approach for the implementation of participatory planning and decision-making processes for CCA in the water domain
Lagrangian Simulation of Primary Production in the Physical Environment — The Deep Chlorophyll Maximum and Nutricline
Improvements in Productivity based on Co-authorship: A Case Study of Published Articles in China
[[abstract]]The issue of primary interest to this study is the collaboration that has taken place in science and technology (S&T) research in China. Due to our empirical evidences, the regions with higher relationship (network) capital enjoy higher knowledge productivity in terms of published articles. Our purpose in this paper is to investigate the relationships that exist between regional published articles and co-authorship in China covering the period from 1998 to 2007 by using Stata to investigate the relation between the regional publications and co-authored published articles. As main findings, the greater the number of co-authored articles that a region has, the greater their success, in terms of the number of articles published. Indeed, both domestic and international co-authorship have had positive effects on published article levels in China.[[journaltype]]國外[[incitationindex]]SCI[[incitationindex]]SSCI[[countrycodes]]HU