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Burer's Hot Paper Leads to Numerous Citations

Every two months, ISI Essential Science Indicators lists a new crop of what it calls "hot papers in science." Hot papers are selected by virtue of being cited among the top one-tenth of one percent (0.1%) of scientific papers within a bimonthly period. Sam Burer, an assistant professor in Management Sciences at The University of Iowa's Henry B. Tippie College of Business, was included in a recent issue for citations mentioning his paper "Solving a class of semidefinite programs via nonlinear programming."

The piece was co-authored by Renato D.C. Monteiro, professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology and Yin Zhang, professor in the Department of Computational and Applied Mathematics at Rice University in Texas. It was published in the June 2003 issue of Mathematical Programming.

Papers are selected in each of 22 fields of science and must be published within the last two years. Since new hot papers are very recent scientific contributions that are receiving recognition during a current period, they may signal important new trends in research and serve as leading indicators of scientific advance. An interview with Burer discussing his research is available online. ISI Essential Science Indicators is a resource that enables researchers to conduct ongoing, quantitative analyses of research performance and track trends in science. Covering a multidisciplinary selection of 8,500 journals from around the world, this in-depth analytical tool offers data for ranking scientists, institutions, countries, and journals.

Burer's research involves the development and computer implementation of algorithms and techniques for optimizing specially structured mathematical problems. While theoretical at this stage, research on such structured mathematical problems can lead to the development of tools that can be used in business, statistics, finance, science and engineering. These tools can help provide solutions to complex decisions (such as determining how to minimize costs or maximize profits) when faced with an extremely large number of options.

Burer is an assistant professor in Management Sciences at The University of Iowa's Henry B. Tippie College of Business. His research has earned him funding from the National Science Foundation's Numeric, Symbolic, and Geometric Computation Program. In addition, he received the Institute for Operations Research and the Management Sciences (INFORMS) 2002 Optimization Prize for Young Researchers. Burer received his Ph.D. in Algorithms, Combinatorics and Optimization from Georgia Institute of Technology in 2001 and has a BS in mathematics from the University of Georgia.

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