Orange County School

17.6k citations
675 papers ·

Impact in

Papers in

Orange County School

590 papers receiving 16.6k citations

Peers

Orange County School
Comparison fields: 5 of 227
  • Water Science and Technology 4.7k
  • Health, Toxicology and Mutagenesis 2.6k
  • Pollution 2.3k
  • Industrial and Manufacturing Engineering 1.6k
  • Endocrinology 613
Replace North Carolina Department of Environmental Quality with:
North Carolina Department of Environmental Quality United States
North Carolina Department of Agriculture and Consumer Services United States
South Carolina Department of Health and Environmental Control United States
Florida Department of Environmental Protection United States
Georgia Department of Natural Resources United States
Stroud Water Research Center United States
University of Maryland Extension United States
Ohio Department of Natural Resources United States
Allegheny-Singer Research Institute United States
Stantec (United States) United States
Orange County School relative to North Carolina Department of Environmental Quality United States North Carolina Department of Environmental Quality's profile →
Citations per field
00.5×5.0×
North Carolina Department of Environmental Quality · 1×
Citations per year

Countries citing scholars working at Orange County School

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Orange County School. 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 papers produced at Orange County School with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orange County School more than expected).

Fields of papers published by authors at Orange County School

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Orange County School at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Orange County School at the time of their publication.

About Orange County School

In recent decades, authors affiliated with Orange County School have published 675 papers, which have received a total of 17.6k indexed citations . Scholars at this organization have produced 108 papers in Water Science and Technology, 95 papers in Health, Toxicology and Mutagenesis, 20 papers in Toxicology, 45 papers in Industrial and Manufacturing Engineering and 52 papers in Pollution on the topics of Water Treatment and Disinfection (63 papers), Membrane Separation Technologies (39 papers), Fecal contamination and water quality (32 papers), Marine Biology and Ecology Research (24 papers), Wastewater Treatment and Reuse (23 papers), Mosquito-borne diseases and control (22 papers), Membrane-based Ion Separation Techniques (22 papers) and Marine and coastal ecosystems (22 papers). Their work is cited by papers focused on Water Science and Technology (4.7k citations), Health, Toxicology and Mutagenesis (2.6k citations), Pollution (2.3k citations), Industrial and Manufacturing Engineering (1.6k citations) and Endocrinology (613 citations). Authors at Orange County School collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Water Research, Applied and Environmental Microbiology, Journal of Analytical Toxicology, Journal of Medical Entomology and Desalination. Some of Orange County School's most productive authors include Kenneth P. Ishida, Y L Tsai, Betty H. Olson, Harry Ridgway, Sujana S. Chandrasekhar, Charles D. McGee, Stephen B. Weisberg, David Phipps, Tom Knoell and C J Palmer.

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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