D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 51 Citations 10,790 175 World Ranking 2308 National Ranking 1020

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Agriculture
  • Statistics

His scientific interests lie mostly in Urbanization, Land use, land-use change and forestry, Land use, Ecology and Data mining. The various areas that Bryan C. Pijanowski examines in his Urbanization study include Urban planning and Surface runoff. Bryan C. Pijanowski combines subjects such as Land cover, Watershed and Water cycle with his study of Land use, land-use change and forestry.

His work on Agricultural land as part of general Land use research is frequently linked to Multivariate adaptive regression splines, thereby connecting diverse disciplines of science. His work deals with themes such as Soundscape and Soundscape ecology, which intersect with Ecology. His Data mining research includes elements of Elevation, Statistics and Artificial neural network.

His most cited work include:

  • Using neural networks and GIS to forecast land use changes: a Land Transformation Model (523 citations)
  • Comparing the input, output, and validation maps for several models of land change (485 citations)
  • Soundscape Ecology: The Science of Sound in the Landscape (471 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Land use, Ecology, Land use, land-use change and forestry, Soundscape and Land cover. His studies in Land use integrate themes in fields like Drainage basin, Watershed, Environmental resource management and Urbanization. His Urbanization research integrates issues from Urban density and Urban planning.

His Land use, land-use change and forestry research is multidisciplinary, relying on both Data mining, Climate change, Water quality, Surface runoff and Artificial intelligence. His work on Soundscape ecology and Biophony as part of general Soundscape research is often related to Context, thus linking different fields of science. The concepts of his Land cover study are interwoven with issues in Ecosystem services, Climate model, Precipitation, Vegetation and Physical geography.

He most often published in these fields:

  • Land use (30.23%)
  • Ecology (22.67%)
  • Land use, land-use change and forestry (20.93%)

What were the highlights of his more recent work (between 2015-2021)?

  • Soundscape (16.28%)
  • Ecology (22.67%)
  • Land use (30.23%)

In recent papers he was focusing on the following fields of study:

Bryan C. Pijanowski spends much of his time researching Soundscape, Ecology, Land use, Soundscape ecology and Urbanization. His work on Biophony is typically connected to Context and Research questions as part of general Soundscape study, connecting several disciplines of science. His Land use study combines topics from a wide range of disciplines, such as Environmental resource management and Scale.

Bryan C. Pijanowski interconnects Feature, Field, Ecology, Field and Pattern recognition in the investigation of issues within Soundscape ecology. His research in Urbanization tackles topics such as Urban planning which are related to areas like Environmental planning and Wisconsin usa. The Land use, land-use change and forestry study combines topics in areas such as Data mining, Surface runoff, Artificial intelligence, Green infrastructure and Machine learning.

Between 2015 and 2021, his most popular works were:

  • Iterative near-term ecological forecasting: Needs, opportunities, and challenges (181 citations)
  • Automated content analysis: Addressing the big literature challenge in ecology and evolution (76 citations)
  • Optimal selection and placement of green infrastructure to reduce impacts of land use change and climate change on hydrology and water quality: An application to the Trail Creek Watershed, Indiana. (55 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Agriculture
  • Biodiversity

His primary areas of investigation include Ecology, Land use, Soundscape, Water quality and Nonpoint source pollution. His research integrates issues of Bioacoustics and Sound in his study of Ecology. Bryan C. Pijanowski has included themes like Geospatial predictive modeling, Cluster analysis and Spatial planning in his Land use study.

His research investigates the connection between Soundscape and topics such as Ecology that intersect with issues in Field, Soundscape ecology, Ecosystem and Tropics. His Water quality course of study focuses on Surface runoff and Land use, land-use change and forestry. His Land-use planning study integrates concerns from other disciplines, such as Urbanization, Urban planning, Geographic information system and Environmental planning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Soundscape Ecology: The Science of Sound in the Landscape

Bryan C. Pijanowski;Luis J. Villanueva-Rivera;Sarah L. Dumyahn;Almo Farina.
BioScience (2011)

1012 Citations

Using neural networks and GIS to forecast land use changes: a Land Transformation Model

Bryan C Pijanowski;Daniel G Brown;Bradley A Shellito;Gaurav A Manik.
Computers, Environment and Urban Systems (2002)

911 Citations

Comparing the input, output, and validation maps for several models of land change

Robert Gilmore Pontius;Wideke Boersma;Jean-Christophe Castella;Keith Clarke.
(2008)

785 Citations

What is soundscape ecology? An introduction and overview of an emerging new science

Bryan C. Pijanowski;Almo Farina;Stuart H. Gage;Sarah L. Dumyahn.
Landscape Ecology (2011)

583 Citations

Forecasting land use change and its environmental impact at a watershed scale.

Z. Tang;B.A. Engel;B.C. Pijanowski;K.J. Lim.
Journal of Environmental Management (2005)

541 Citations

Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA

D. G. Brown;B. C. Pijanowski;Jiunn-Der Duh.
Journal of Environmental Management (2000)

453 Citations

Iterative near-term ecological forecasting: Needs, opportunities, and challenges

Michael C. Dietze;Andrew Fox;Lindsay M. Beck-Johnson;Julio L. Betancourt.
Proceedings of the National Academy of Sciences of the United States of America (2018)

318 Citations

A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment

Bryan C. Pijanowski;Amin Tayyebi;Jarrod Doucette;Burak K. Pekin.
Environmental Modelling and Software (2014)

290 Citations

An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

Amin Tayyebi;Bryan Christopher Pijanowski;Amir Hossein Tayyebi.
Landscape and Urban Planning (2011)

260 Citations

The effects of China's cultivated land balance program on potential land productivity at a national scale

Wei Song;Bryan C. Pijanowski.
Applied Geography (2014)

249 Citations

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