Institution
Shiv Nadar University
Education•Dadri, Uttar Pradesh, India•
About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.
Topics: Population, Graphene, Plasmodium falciparum, Chemistry, Computer science
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors examined the characteristics (source regions, pathways, vertical profiles) as well as the meteorological conditions and the role of the Inter-Tropical Convergence Zone (ITCZ) during a dust event on 1-3 July 2014 over southwest (SW) Asia.
41 citations
TL;DR: In this article, the authors analyse the spatio-temporal evolution and decadal trend of Aerosol Optical Depth (AOD) from Terra and Aqua MODIS sensors, to identify different types and origin of aerosols, and explore the link between aerosols and solar radiation.
41 citations
TL;DR: In this paper, a new turbine design is evaluated to optimize its parameters such as diameter and location with respect to train, considering SMRT's (Singapore Mass Rapid Transit) circle line in Singapore.
41 citations
TL;DR: In this article, simultaneous measurements of number concentration of condensation nuclei (NCCN) and NCCN activation were obtained at Nainital, in the Gangetic-Himalayan (GH) region, during the frameworks of Ganges Valley Aerosol Experiment (GVAX), June 2011 to March 2012.
41 citations
TL;DR: In this article, the authors investigate the relationship between the average growth rate and volatility of growth rates, both over time and across countries, and exhaustively investigate this relationship for various definitions of growth rate.
Abstract: The empirical relationship between the average growth rate and volatility of growth rates, both over time and across countries, has important policy implications, which depend critically on the sign of the relationship. Following Ramey and Ramey (1995) a wide consensus has been building that, in the post WWII data, the correlation is negative. We replicate their result and then find that it is not robust to either the definition of growth rate or the composition of the sample. We show that the use of log difference as growth rates, as in Ramey and Ramey, creates a strong bias towards finding a negative relationship. Further, we exhaustively investigate this relationship for various definitions of growth rates, several datasets, across time, across countries, within groups of countries, and within US. We use different methods and control variables for this inquiry. Our analysis suggests that there is no significant relationship between the two variables in question.
41 citations
Authors
Showing all 1055 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Dinesh Mohan | 79 | 283 | 35775 |
| Vijay Kumar Thakur | 74 | 375 | 17719 |
| Robert A. Taylor | 62 | 572 | 15877 |
| Himanshu Pathak | 56 | 259 | 11203 |
| Gurmit Singh | 54 | 270 | 8565 |
| Vijay Kumar | 51 | 773 | 10852 |
| Dimitris G. Kaskaoutis | 43 | 135 | 5248 |
| Ken Haenen | 39 | 288 | 6296 |
| Vikas Dudeja | 39 | 143 | 4733 |
| P. K. Giri | 38 | 158 | 4528 |
| Swadesh M Mahajan | 38 | 255 | 5389 |
| Rohini Garg | 37 | 88 | 4388 |
| Rajendra Bhatia | 36 | 154 | 9275 |
| Rakesh Ganguly | 35 | 240 | 4415 |
| Sonal Singhal | 34 | 180 | 4174 |