Institution
Worcester Polytechnic Institute
Education•Worcester, Massachusetts, United States•
About: Worcester Polytechnic Institute is a education organization based out in Worcester, Massachusetts, United States. It is known for research contribution in the topics: Population & Data envelopment analysis. The organization has 6270 authors who have published 12704 publications receiving 332081 citations. The organization is also known as: WPI.
Topics: Population, Data envelopment analysis, Supply chain, Nonlinear system, Finite element method
Papers published on a yearly basis
Papers
More filters
TL;DR: The new measures of energy efficiency suggested in this study do provide some additional insights and could be helpful if used alongside the traditional measure ofEnergy efficiency based on energy intensity.
204 citations
TL;DR: In this article, the management of sub-suppliers to ensure compliance with corporate sustainability standards (CSS) of two focal firms in the electronics and retail/food industries using case study research is investigated.
204 citations
Arizona State University1, University of Wisconsin-Madison2, San Diego State University3, Worcester Polytechnic Institute4, Texas A&M University5, Massachusetts Institute of Technology6, University of Bari7, University of Illinois at Urbana–Champaign8, Carnegie Mellon University9, Northwestern University10, University of California, Berkeley11
TL;DR: The objective of this paper is to define the state of the art and identify what the authors see to be the most fertile grounds for future research in parallel processing as applied to power system computation.
Abstract: The availability of parallel processing hardware and software presents an opportunity and a challenge to apply this new computation technology to solve power system problems. The allure of parallel processing is that this technology has the potential to be cost effectively used on computationally intense problems. The objective of this paper is to define the state of the art and identify what the authors see to be the most fertile grounds for future research in parallel processing as applied to power system computation. As always, such projections are risky in a fast changing field, but the authors hope that this paper will be useful to the researchers and practitioners in this growing area.
203 citations
TL;DR: A novel anonymous on-demand routing protocol, termed MASK, which can accomplish both MAC-layer and network-layer communications without disclosing real IDs of the participating nodes under a rather strong adversary model and is resistant to a wide range of attacks.
Abstract: The shared wireless medium of mobile ad hoc networks facilitates passive, adversarial eavesdropping on data communications whereby adversaries can launch various devastating attacks on the target network. To thwart passive eavesdropping and the resulting attacks, we propose a novel anonymous on-demand routing protocol, termed MASK, which can accomplish both MAC-layer and network-layer communications without disclosing real IDs of the participating nodes under a rather strong adversary model. MASK offers the anonymity of senders, receivers, and sender-receiver relationships in addition to node unlocatability and untrackability and end-to-end flow untraceability. It is also resistant to a wide range of attacks. Moreover, MASK preserves the high routing efficiency as compared to previous proposals. Detailed simulation studies have shown that MASK is highly effective and efficient
203 citations
TL;DR: Li et al. as mentioned in this paper investigated the impact of corporate governance on firm performance and valuation in China and found that better governed Chinese firms would have higher performance and higher valuation. But they did not consider the effect of individual governance on the overall stock market.
202 citations
Authors
Showing all 6336 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Andrew G. Clark | 140 | 823 | 123333 |
| Ming Li | 103 | 1669 | 62672 |
| Joseph Sarkis | 101 | 482 | 45116 |
| Arthur C. Graesser | 95 | 614 | 38549 |
| Kevin J. Harrington | 85 | 682 | 33625 |
| Kui Ren | 83 | 501 | 32490 |
| Bart Preneel | 82 | 844 | 25572 |
| Ming-Hui Chen | 82 | 525 | 29184 |
| Yuguang Fang | 79 | 572 | 20715 |
| Wenjing Lou | 77 | 311 | 29405 |
| Bernard Lown | 73 | 330 | 20320 |
| Joe Zhu | 72 | 231 | 19017 |
| Y.S. Lin | 71 | 304 | 16100 |
| Kevin Talbot | 71 | 268 | 15669 |
| Christof Paar | 69 | 399 | 21790 |