Institution
University of Oklahoma
Education•Norman, Oklahoma, United States•
About: University of Oklahoma is a education organization based out in Norman, Oklahoma, United States. It is known for research contribution in the topics: Population & Radar. The organization has 25269 authors who have published 52609 publications receiving 1821706 citations. The organization is also known as: OU & Oklahoma University.
Papers published on a yearly basis
Papers
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TL;DR: The performance of the ATLAS muon reconstruction during the LHC run withpp collisions at s=7–8 TeV in 2011–2012 is presented, focusing mainly on data collected in 2012.
Abstract: This paper presents the performance of the ATLAS muon reconstruction during the LHC run with pp collisions at root s = 7-8 TeV in 2011-2012, focusing mainly on data collected in 2012. Measurements ...
305 citations
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TL;DR: In this paper, the authors quantitatively evaluate the successive Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products and further explore the improvements and error propagation of the latest 3B42V7 algorithm relative to its predecessor 3b42V6 using the Coupled Routing and Excess Storage (CREST) hydrologic model in the mountainous Wangchu Basin of Bhutan.
305 citations
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TL;DR: A contingent model is proposed in which the effect of training on IS implementation success is a function of technical complexity and task interdependence, explaining the inconsistent findings reported in the literature.
Abstract: Research has investigated the main effect of training on information systems implementation success. However, empirical support for this model is inconsistent. We propose a contingent model in which the effect of training on IS implementation success is a function of technical complexity and task interdependence. A meta-analysis of the literature finds strong support for the model, explaining the inconsistent findings reported in the literature. Implications for theory and practice are discussed.
305 citations
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TL;DR: The development of constant pH molecular dynamics methods, which have recently been applied to the calculations of protein pK(a) values and the studies of pH-dependent peptide and protein folding, are presented.
304 citations
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TL;DR: A more nuanced view of OCBs while highlighting the dark side of citizenship behavior has been presented in this paper, where the authors discuss the conditions under which OCB does more harm than good.
Abstract: Summary
In recent years, there has been increasing interest in positive organizational scholarship in general, including positive organizational behavior (POB) in particular. This work identifies organizational citizenship behavior (OCB) as a prototypical POB. Conceptualizing OCBs in this way is sensible in light of more than 30 years of research highlighting the desirable aspects of such behavior. At the same time, some researchers have raised questions about positive organizational scholarship and have called for a more balanced view of ostensibly positive behaviors. The purpose of this paper, then, is to take a more nuanced view of OCBs while highlighting the dark side of citizenship behavior. In doing so, we review conceptual and empirical work that has challenged the idea that OCBs are inherently positive. We also discuss research that seeks to develop a deeper understanding of the conditions under which OCB does more harm than good. Finally, important areas for future research and the practical realities facing scholars who seek to publish research investigating the dark side of citizenship are addressed as well. Copyright © 2012 John Wiley & Sons, Ltd.
304 citations
Authors
Showing all 25490 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Michael A. Strauss | 185 | 1688 | 208506 |
Derek R. Lovley | 168 | 582 | 95315 |
Ashok Kumar | 151 | 5654 | 164086 |
Peter J. Schwartz | 147 | 647 | 107695 |
Peter Buchholz | 143 | 1181 | 92101 |
Robert Hirosky | 139 | 1697 | 106626 |
Elizabeth Barrett-Connor | 138 | 793 | 73241 |
Brad Abbott | 137 | 1566 | 98604 |
Lihong V. Wang | 136 | 1118 | 72482 |
Itsuo Nakano | 135 | 1539 | 97905 |
Phillip Gutierrez | 133 | 1391 | 96205 |
P. Skubic | 133 | 1573 | 97343 |
Elizaveta Shabalina | 133 | 1421 | 92273 |
Richard Brenner | 133 | 1108 | 87426 |