Institution
University of Tulsa
Education•Tulsa, Oklahoma, United States•
About: University of Tulsa is a education organization based out in Tulsa, Oklahoma, United States. It is known for research contribution in the topics: Population & Two-phase flow. The organization has 3859 authors who have published 7892 publications receiving 177497 citations. The organization is also known as: Tulsa University.
Topics: Population, Two-phase flow, Multiphase flow, Slug flow, Poison control
Papers published on a yearly basis
Papers
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Gregory A. Roth1, Gregory A. Roth2, Degu Abate3, Kalkidan Hassen Abate4 +1025 more•Institutions (333)
TL;DR: Non-communicable diseases comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2).
5,211 citations
Jeffrey D. Stanaway1, Ashkan Afshin1, Emmanuela Gakidou1, Stephen S Lim1 +1050 more•Institutions (346)
TL;DR: This study estimated levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs) by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017 and explored the relationship between development and risk exposure.
2,910 citations
01 Jan 2005
2,215 citations
TL;DR: In this paper, the authors examined the usefulness of factor analysis in developing and evaluating personality scales that measure limited domain constructs and concluded that factor analysis can make an important contribution to programmatic research in personality psychology.
Abstract: The purpose of this paper is to examine the usefulness of factor analysis in developing and evaluating personality scales that measure limited domain constructs The approach advocated follows from several assumptions that a single scale ought to measure a single construct, that factor analysis ought to be applied routinely to new personality scales, and that the factors of a scale are important if it can be demonstrated that they are differentially related to other measures A detailed study of the Self-Monitoring Scale illustrates how factor analysis can help us to understand what a scale measures A second example uses the self-esteem literature to illustrate how factor analysis can clarify the proliferation of scales within a single content domain Both examples show how factor analysis can be used to identify important conceptual distinctions Confirmatory techniques are also introduced as a means for testing specific hypotheses It is concluded that factor analysis can make an important contribution to programmatic research in personality psychology
2,108 citations
TL;DR: A review of 190 work-family studies published in IO/OB journals from 1980 to 2002 is presented in this paper, with a discussion of recurring themes in the literature and the identification of blind spots in the IO/O perspective on work and family.
1,886 citations
Authors
Showing all 3930 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Reza Malekzadeh | 118 | 900 | 139272 |
| Martin P. Paulus | 95 | 524 | 33272 |
| Brent W. Roberts | 82 | 229 | 36195 |
| William J. Murphy | 80 | 293 | 25360 |
| Eric A. Posner | 77 | 377 | 16572 |
| Willard S. Moore | 75 | 248 | 19044 |
| A. Parasuraman | 70 | 133 | 103401 |
| Garry D. Bruton | 64 | 150 | 17157 |
| Michael R. Kessler | 53 | 253 | 16248 |
| Edmund H. Durfee | 53 | 306 | 11193 |
| Jerzy Bodurka | 52 | 176 | 9038 |
| Gregory F. Moore | 51 | 188 | 7664 |
| Albert C. Reynolds | 49 | 245 | 9341 |
| Elizabeth W. Twamley | 48 | 173 | 8570 |
| Mary Bomberger Brown | 48 | 239 | 8237 |