Institution
Sharda University
Education•Greater Noida, Uttar Pradesh, India•
About: Sharda University is a education organization based out in Greater Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Medicine. The organization has 1276 authors who have published 2012 publications receiving 16188 citations.
Topics: Computer science, Medicine, Chemistry, Population, Electrolyte
Papers
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8 citations
TL;DR: In this article , the authors present the advantages of telepsychiatry over in-person visits in outpatient psychiatry especially in conflict setting, where online visits seem a particularly suitable alternative to inperson visits.
8 citations
TL;DR: Novel inhibitors of MurA were identified using an in silico approach and all four compounds achieved a differing level of stability during the 50ns MD simulation, and could be considered as potential inhibitors for MTB after successful experimental validation.
8 citations
TL;DR: This paper found that firms with the presence of foreign directors on board reduce the gender pay gap of the firms in Britain, and this result is more pronounced with the profitable firms, and with those that have less than 5000 employees.
8 citations
Proceedings Article•
16 Mar 2016TL;DR: This paper proposes a new job recommendation framework which handle Big data effectively and explored recent work on job recommender system and the research gap between current abilities and new requirements were identified.
Abstract: The war on talent, supply demand issues, shifting growth paradigms across different sectors form part of the ecosystem in which we live and operate, which is constantly evolving, adaptating and increasing the use of advanced technologies to solve problems across the Talent supply chain domain. Innovations and value added extensions and services are required at a corporate and individual level. At present, we have number of online services which impact our lives in different ways. E-recruitment is one of the known and popular online service for the job seekers as well as for the employers. Past proposed job recommender systems worked with small and structured data sets. But today we have large amount of heterogeneous and unstructured data in comparison to structured data which is growing at tremendous speed. Past proposed techniques of job recommender system does not work adequately on Big Data. Hence, we need more advanced techniques for handling Big data. In this paper, we explored recent work on job recommender system and the research gap between current abilities and new requirements were identified. We proposes a new job recommendation framework which handle Big data effectively.
8 citations
Authors
Showing all 1348 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Sanjay Kumar | 120 | 2052 | 82620 |
| Bharat Bhushan | 116 | 1276 | 62506 |
| Manish Sharma | 82 | 1407 | 33361 |
| Bhim Singh | 76 | 2335 | 35726 |
| Pradeep Kumar | 61 | 1390 | 19257 |
| Ramesh P. Singh | 49 | 263 | 8576 |
| Seyed E. Hasnain | 46 | 256 | 7480 |
| Dimitris G. Kaskaoutis | 43 | 135 | 5248 |
| Suman K Mishra | 38 | 240 | 4989 |
| S. K. Maurya | 37 | 121 | 3488 |
| Shankar Narayanan | 36 | 152 | 4060 |
| R.M. Mehra | 33 | 142 | 3649 |
| Baishnab C. Tripathy | 33 | 106 | 3414 |
| Narsingh Bahadur Singh | 33 | 194 | 4062 |
| Kamal Dua | 32 | 401 | 5480 |