U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Department of Energy (DOE) Scientists Rank Among Highly Cited Researchers in Environmental Studies
Published: February 05, 2003
Posted: February 17, 2003

The Institute for Scientific Information (ISI) has released its January 2003 list of 247 highly cited researchers whose work has formed or changed the course of research in the environmental sciences (http://www.highlycited.com/). This prestigious list is international in scope and includes nine researchers, within academia or the DOE laboratories, who are currently supported by research programs in the Environmental Remediation Sciences Division within the Office of Biological and Environmental Research. ISI uses its extensive citation indices to track and assess the influence of researchers papers on the scientific community. Its recognition of these scientists and engineers indicates the impact of DOEsupported research on environmental science and environmental remediation. Highly cited DOE laboratory investigators include:

  • Dr. John Zachara, Pacific Northwest National Laboratory
  • Dr. Philip Jardine, Oak Ridge National Laboratory
Highly cited university investigators include:
  • Dr. James Tiedje, Michigan State University
  • Dr. Linda Abriola, University of Michigan
  • Dr. Jean-Marc Bollag, Pennsylvania State University
  • Dr. John McCarthy, University of Tennessee,
  • Dr. Peter Kitanidis, Stanford University
  • Perry McCarty , Stanford University
  • Walter Weber, University of Michigan

Contact: Brendlyn Faison, SC-75, (301)-903-0042
Topic Areas:

  • Research Area: Subsurface Biogeochemical Research
  • Cross-Cutting: Lectures, Awards, and Recognition

Division: SC-23.1 Climate and Environmental Sciences Division, BER
      (formerly SC-75 Environmental Remediation Sciences Division, OBER)


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)