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Study Ranks Ohio's Most Productive Research Universities

Academic Analytics reveals Ohio's most productive research universities as measured by faculty scholarly productivity. The highest-ranking large research university in Ohio is Case Western Reserve and Ohio's leading small research university is Wright State University.

Chester, PA (PRWEB) June 20, 2007 -- Academic Analytics announced today Ohio's most productive research universities as measured by faculty scholarly productivity. The highest-ranking large research universities in Ohio, defined as institutions with 15 or more Ph.D. programs in multiple disciplines, according to Academic Analytics' Faculty Scholarly Productivity Index (FSP Index), are:

    

 
  • Case Western Reserve University
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  • Ohio State University
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  • University of Cincinnati
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  • University of Akron Main Campus
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  • Kent State University
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  • Ohio University
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  • Bowling Green State University
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  • University of Toledo

Overall, only two of Ohio's large research universities, Case Western Reserve and Ohio State, rank above the national average with Case Western Reserve being the only Ohio university to crack the national top 50. Among the small research universities in Ohio, two are playing in the field of the top 25 nationally:

     • Wright State University, ranked 7th
     • Miami University - Oxford, ranked 23rd

In looking at specific disciplines within research universities in Ohio, there is only one star performer with Cleveland State University ranking fourth in faculty productivity in the area of Business, Education and Social Sciences.

"At research universities, more than 50 percent of a faculty member's salary is compensation for scholarly work. One of the greatest challenges for academia has been finding a way to measure and evaluate that scholarly - as distinct from teaching - productivity," says Dr. Lawrence Martin, Ph.D., Chief Scientific Consultant to Academic Analytics, Dean of the Graduate School, Associate Provost for Analysis and Planning and Professor of Anthropology at Stony Brook University. "The FSP Index allows university leadership for the first time to get a clear picture of the comparative scholarly strength and vitality of their doctoral programs relative to others on an annual basis."

Academic Analytics' Faculty FSP Index is a new quantitative method for ranking doctoral programs at research universities based on a set of statistical algorithms developed by Dr. Martin. The index measures the scholarly productivity of faculty based on their publications, citations and financial and honorary awards won. Programs, not individual faculty, are rated and are aggregated to produce quantitative rankings of whole universities.

In its second year of analysis, the FSP Index has expanded its data-gathering program to include information from nearly 200,000 faculty members based at 354 institutions and representing 118 academic disciplines in nearly 7,300 Ph.D. programs throughout the country. In all, the FSP Index research matched those faculty to more than 15,000 books authored by slightly more than 9,500 faculty, more than one million journal articles, almost seven million citations, over 6,000 awards and honors and more than 83,000 federal research grants.

The FSP Index reports are available to universities on a subscription basis. For more information on the FSP Index, visit www.academicanalytics.com or call Stefanie Altman at 631-791-9691.

Academic Analytics, LLC
Founded in 2005, Academic Analytics, LLC (AA LLC) is the result of collaboration between faculty and researchers at the Stony Brook University and Educational Directories Unlimited. AA LLC compiles and distributes The Faculty Scholarly Productivity Index™ (FSP Index), a new method for ranking doctoral programs at Research Universities (both Carnegie Research Extensive and Research Intensive). The FSP Index is based on a set of statistical algorithms developed by Dr. Lawrence Martin, that measure the scholarly productivity of faculty based on their publications, citations and financial and honorary awards won. For more information, visit www.academicanalytics.com.

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Nikki Martin
Academic Analytics
303-433-7020
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