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Ranking academic institutions based on the productivity,impact,and quality of institutional scholars

Journal of Data and Information Science 2024年第3期9卷 116-154页

作者： amir faghri Theodore L.Bergman Department of Mechanical and Aerospace Engineering University of CaliforniaLos AngelesLos AngelesCA 90095USA Department of Mechanical Engineering University of KansasLawrenceKS 66045USA

Purpose:The quantitative rankings of over 55,000 institutions and their institutional programs are based on the individual rankings of approximately 30 million scholars determined by their productivity,impact,and ***/methodology/approach:The institutional ranking process developed here considers all institutions in all countries and regions,thereby including those that are established,as well as those that are emerging in scholarly *** of individual scholars worldwide are first generated using the recently introduced,fully indexed ScholarGPS *** rankings of individual scholars are extended here to determine the lifetime and last-five-year Top 20 rankings of academic institutions over all Fields of scholarly endeavor,in 14 individual Fields,in 177 Disciplines,and in approximately 350,000 unique *** associated with five specific Fields(Medicine,Engineering&Computer Science,Life Sciences,Physical Sciences&Mathematics,and Social Sciences),and in two Disciplines(Chemistry,and Electrical&Computer Engineering)are presented as examples,and changes in the rankings over time are ***:For the Fields considered here,the Top 20 institutional rankings in Medicine have undergone the least change(lifetime versus last five years),while the rankings in Engineering&Computer Science have exhibited significant *** evolution of institutional rankings over time is largely attributed to the recent emergence of Chinese academic institutions,although this emergence is shown to be highly Field-and *** implementations:Existing rankings of academic institutions have:(i)often been restricted to pre-selected institutions,clouding the potential discovery of scholarly activity in emerging institutions and countries;(ii)considered only broad areas of research,limiting the ability of university leadership to act on the assessments in a concrete manner,or in contrast;(iii)have considered only a narrow are

关键词： Academic institution ranking Top institutional scholars ScholarGPS

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A Mathematical Optimization Model for Locating Telecenters

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Applied Mathematics 2012年第3期3卷 251-263页

作者： Morteza Tabatabaie Shourijeh Mohammad Kermanshah amir Reza Mamdoohi Ardeshir faghri Khaled Hamad Civil Engineering Department Center for Transportation Studies and Research Sharif University of Technology Tehran Iran Department of Civil and Environmental Engineering University of Delaware Newark USA Department of Civil Engineering University of Sharjah Sharjah United Arab Emirates Transportation and Highway Engineering Department Civil Engineering Faculty Tarbiat Modares University Tehran Iran Transportation Engineering University of Delaware Newark USA

Telecommuting is a Transportation Demand Management strategy to partially or completely replace the daily commute with telecommunication technologies. Research has revealed that telecommuting can be effectively done from special places provided for this purpose called telecenters. In telecenter-based telecommuting, trip lengths are shortened due to change in the location of work places. Thus suitable locations of telecenters play an important role in increasing the beneficial impacts of telecommuting in the transportation systems. In this research, a mathematical optimization model for finding optimal location and capacity of telecenters is proposed. This model is a bi-objective linear program, and a Fuzzy Goal Programming method with a preemptive structure is used to solve it. Telecommuting demand is classified into three groups of telecommuters and a priority structure that assigns the higher priority class to the closer telecenters is also incorporated into the model. The proposed model is implemented in a case study of finding optimal location of telecenters for government employees in Tehran (capital of Iran) metropolitan area. The base model is solved and its sensitivity to different parameters has been analyzed based on which, an optimal model is selected. The solution of this model is an optimal pattern for distribution of telecommuting capacities and yields the most system-wide benefits from implementation of telecommuting.

关键词： Location Telecommuting Telecenter Multi-Objective Optimization Fuzzy Goal Programming Accessibility Index

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