Study Ranks Texas' Most Productive Universities

Academic Analytics announces Texas' most productive research universities as measured by faculty scholarly productivity. Rice University is the most productive large research university, while Texas' small research universities underperform the national average.

Chester, PA (PRWeb) June 13, 2007 -- Academic Analytics announced today Texas' most productive research universities as measured by faculty scholarly productivity. The highest-ranking large research universities in Texas, defined as institutions with 15 or more Ph.D. programs across multiple disciplines, according to Academic Analytics' Faculty Scholarly Productivity Index (FSP Index), are:

1) Rice University

2) University of Texas at Austin

3) Texas A&M University

4) University of Houston - University Park

5) University of Texas at San Antonio

6) University of Texas at Dallas

7) Texas Tech University

8) University of Texas at Arlington

9) University of North Texas

10) Baylor University

Overall, only two of Texas' large research universities rank above the national average and only Rice University cracks the top 25. Among Texas' small research universities, three are in the playing field of the top 30 nationally:

1) Southern Methodist University

2) Texas State University

3) University of Texas at El Paso

But, even the best performing small research universities in Texas underperform the national average for all universities in overall faculty scholarly productivity. However, within the specialized research universities category, Texas-based universities shine among smaller research universities nationwide:

• Texas A&M University - Corpus Christi ranks #1 in Applied Sciences;

• Sam Houston State University ranks #5 for Business, Education and Social Sciences;

• Dallas Theological Seminary ranks #5 in Humanities; and

• Baylor College of Medicine ranks #6 in Biomedical Biological 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 cititations, 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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