Institution
Drexel University
Education•Philadelphia, Pennsylvania, United States•
About: Drexel University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 26770 authors who have published 51438 publications receiving 1949443 citations. The organization is also known as: Drexel & Drexel Institute.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors examined the relation between managerial ownership and the probability of being a target firm, and the impact of managerial ownership on target shareholder returns, and found that targets have lower managerial ownership than either their industry counterparts or randomly selected nontargets.
Abstract: This paper examines the relation between managerial ownership and the probability of being a target firm, and the impact of managerial ownership on target shareholder returns. The paper finds that targets have lower managerial ownership than either their industry counterparts or randomly selected nontargets. Managerial ownership is significantly lower in contested compared to uncontested offers, and in unsuccessful compared to successful cases. Managerial ownership is significantly related to abnormal returns in contested cases that are ultimately successful. The results are consistent with a positive impact of managerial ownership where it is used to negotiate, but not ultimately block, an acquisition.
305 citations
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TL;DR: A new visual analytic method for analyzing, comparing, and contrasting characteristics of publication portfolios is introduced and a novel design of dual‐map thematic overlays on global maps of science is introduced.
Abstract: Portfolio analysis of the publication profile of a unit of interest, ranging from individuals and organizations to a scientific field or interdisciplinary programs, aims to inform analysts and decision makers about the position of the unit, where it has been, and where it may go in a complex adaptive environment. A portfolio analysis may aim to identify the gap between the current position of an organization and a goal that it intends to achieve or identify competencies of multiple institutions. We introduce a new visual analytic method for analyzing, comparing, and contrasting characteristics of publication portfolios. The new method introduces a novel design of dual-map thematic overlays on global maps of science. Each publication portfolio can be added as one layer of dual-map overlays over 2 related, but distinct, global maps of science: one for citing journals and the other for cited journals. We demonstrate how the new design facilitates a portfolio analysis in terms of patterns emerging from the distributions of citation threads and the dynamics of trajectories as a function of space and time. We first demonstrate the analysis of portfolios defined on a single source article. Then we contrast publication portfolios of multiple comparable units of interest; namely, colleges in universities and corporate research organizations. We also include examples of overlays of scientific fields. We expect that our method will provide new insights to portfolio analysis.
304 citations
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TL;DR: In this article, the relationship between perceived participative decision making and employee performance was examined in matched samples of employees from the Hong Kong and U.S. branches of one organization. Self...
Abstract: The relationship between perceived participative decision making and employee performance was examined in matched samples of employees from the Hong Kong and U.S. branches of one organization. Self...
304 citations
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TL;DR: In this article, the authors examined the regional localization of corticotropin-releasing factor (CRF)- and 5-hydroxytryptamine (5-HT)-immunoreactive (IR) fibers within the rat dorsal raphe nucleus (DRN) using immunohistochemistry.
304 citations
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TL;DR: This is the first study to empirically investigate the documentation of the use of the WoS platform in published academic papers in both scientometric and linguistic terms.
Abstract: Clarivate Analytics’s Web of Science (WoS) is the world’s leading scientific citation search and analytical information platform. It is used as both a research tool supporting a broad array of scientific tasks across diverse knowledge domains as well as a dataset for large-scale data-intensive studies. WoS has been used in thousands of published academic studies over the past 20 years. It is also the most enduring commercial legacy of Eugene Garfield. Despite the central position WoS holds in contemporary research, the quantitative impact of WoS has not been previously examined by rigorous scientific studies. To better understand how this key piece of Eugene Garfield’s heritage has contributed to science, we investigated the ways in which WoS (and associated products and features) is mentioned in a sample of 19,478 English-language research and review papers published between 1997 and 2017, as indexed in WoS databases. We offered descriptive analyses of the distribution of the papers across countries, institutions and knowledge domains. We also used natural language processingtechniques to identify the verbs and nouns in the abstracts of these papers that are grammatically connected to WoS-related phrases. This is the first study to empirically investigate the documentation of the use of the WoS platform in published academic papers in both scientometric and linguistic terms.
304 citations
Authors
Showing all 26976 results
Name | H-index | Papers | Citations |
---|---|---|---|
John Q. Trojanowski | 226 | 1467 | 213948 |
Peter Libby | 211 | 932 | 182724 |
Virginia M.-Y. Lee | 194 | 993 | 148820 |
Yury Gogotsi | 171 | 956 | 144520 |
Dennis R. Burton | 164 | 683 | 90959 |
M.-Marsel Mesulam | 150 | 558 | 90772 |
Edward G. Lakatta | 146 | 858 | 88637 |
Gordon T. Richards | 144 | 613 | 110666 |
David Price | 138 | 1687 | 93535 |
Joseph Sodroski | 138 | 542 | 77070 |
Hannu Kurki-Suonio | 138 | 433 | 99607 |
Jun Lu | 135 | 1526 | 99767 |
Stephen F. Badylak | 133 | 530 | 57083 |
Michael E. Thase | 131 | 923 | 75995 |
Edna B. Foa | 129 | 588 | 73034 |