DAVID C. POWELL

1.3k citations
32 papers · 874 · h-index 13

Impact in

    • Environmental Toxicology and Ecotoxicology
    • Toxic Organic Pollutants Impact
  • Pollution top 5%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Heavy metals in environment

Papers in

DAVID C. POWELL

29 papers receiving 786 citations

Peers

DAVID C. POWELL
Comparison fields: 5 of 105
  • Health, Toxicology and Mutagenesis 283
  • Pollution 226
  • Environmental Engineering 164
  • Global and Planetary Change 137
  • Ecological Modeling 25
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Citations per field
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Citations per year

Countries citing papers authored by DAVID C. POWELL

Since Specialization
Citations

This map shows the geographic impact of DAVID C. POWELL's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by DAVID C. POWELL with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DAVID C. POWELL more than expected).

Fields of papers citing papers by DAVID C. POWELL

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DAVID C. POWELL. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by DAVID C. POWELL. The network helps show where DAVID C. POWELL may publish in the future.

Co-authors

The 25 scholars most cited alongside DAVID C. POWELL, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with DAVID C. POWELL Line = papers co-authored together DAVID C. POWELL links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000295
2
Three-Dimensional Wind Simulation
1998169
3 200052
4 197749
5 197446
6 201743
7 198327
8 200027
9 198325
10 200521
11 198115
12 200115
13 201413
14 200411
15 198810
16 19879
17 20128
18 19698
19
Aspen community types of the Pike and San Isabel National Forests in south-central Colorado
19885
20
Suggested stocking levels for forest stands in northeastern Oregon and southeastern Washington. Forest Service research note
19945

About DAVID C. POWELL

DAVID C. POWELL is a scholar working on Global and Planetary Change, Environmental Engineering, Nature and Landscape Conservation, Ecology and Aerospace Engineering, having authored 32 papers that have together received 874 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (7 papers), Wind Energy Research and Development (6 papers), Rangeland and Wildlife Management (4 papers), Fire effects on ecosystems (4 papers), Atmospheric chemistry and aerosols (3 papers), Forest ecology and management (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Forest Insect Ecology and Management (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (283 citations), Pollution (226 citations), Environmental Engineering (164 citations), Global and Planetary Change (137 citations) and Ecological Modeling (25 citations). DAVID C. POWELL has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James R. Connell, Paul S. Veers, Tyler Christensen, Scott B. Lerberg, David R. Ownby, Abdul J. Alkezweeny, Steve Chan, D. Curtice, Michael C. Newman and Becky K. Kerns. Their work appears in journals such as Environmental Toxicology and Chemistry, Journal of the Atmospheric Sciences, Radiation Protection Dosimetry, Political Science Quarterly and Climate Services.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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