Neurophysiological Approaches to Understanding Motor Control in DCD: Current Trends and Future Directions

2019 ◽  
Vol 6 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Christian Hyde ◽  
Ian Fuelscher ◽  
Jacqueline Williams
2019 ◽  
Vol 8 (3) ◽  
pp. 202-202
Author(s):  
Emma E. McGee ◽  
Rama Kiblawi ◽  
Mary C. Playdon ◽  
A. Heather Eliassen

2017 ◽  
Vol 23 (3) ◽  
pp. 555-573 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Shan Jiang ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.


2011 ◽  
Vol 69 (2) ◽  
pp. 104-112 ◽  
Author(s):  
Amy Deep-Soboslay ◽  
Francine M. Benes ◽  
Vahram Haroutunian ◽  
Justin K. Ellis ◽  
Joel E. Kleinman ◽  
...  

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