Institution
Metropolitan University
Education•San Juan, Puerto Rico, United States•
About: Metropolitan University is a education organization based out in San Juan, Puerto Rico, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 3595 authors who have published 4067 publications receiving 43067 citations.
Papers published on a yearly basis
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TL;DR: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates, and there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries.
5,802 citations
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as discussed by the authors, the authors used the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data.
5,792 citations
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as mentioned in this paper, the authors estimated the quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013.
4,510 citations
Christopher J L Murray1, Christopher J L Murray2, Christopher J L Murray3, Aleksandr Y. Aravkin2 +2269 more•Institutions (286)
TL;DR: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure.
3,059 citations
TL;DR: This paper explores the determination of semantic similarity by a number of information sources, which consist of structural semantic information from a lexical taxonomy and information content from a corpus.
Abstract: Semantic similarity between words is becoming a generic problem for many applications of computational linguistics and artificial intelligence. This paper explores the determination of semantic similarity by a number of information sources, which consist of structural semantic information from a lexical taxonomy and information content from a corpus. To investigate how information sources could be used effectively, a variety of strategies for using various possible information sources are implemented. A new measure is then proposed which combines information sources nonlinearly. Experimental evaluation against a benchmark set of human similarity ratings demonstrates that the proposed measure significantly outperforms traditional similarity measures.
1,138 citations
Authors
Showing all 3629 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Susumu Kitagawa | 125 | 809 | 69594 |
| Ben C. Sheldon | 92 | 308 | 28661 |
| Paul K.S. Lam | 87 | 485 | 25614 |
| Ian Parker | 85 | 432 | 28166 |
| Guilherme Borges | 79 | 446 | 60833 |
| Arben Merkoçi | 77 | 334 | 20825 |
| Thomas Hansen | 75 | 327 | 33818 |
| Peter Güntert | 68 | 242 | 21339 |
| Carlos Castillo-Chavez | 64 | 363 | 17333 |
| Masahiro Yamashita | 58 | 573 | 15371 |
| Yoshikazu Mizuguchi | 53 | 357 | 12028 |
| Keijiro Otsuka | 53 | 301 | 9375 |
| Masamitsu Wada | 51 | 215 | 11091 |
| Hideki Masuda | 50 | 349 | 15502 |
| Leonardo Salviati | 50 | 160 | 8932 |