Illinois Archaeological Survey

162.7k citations
5.1k papers ·

Impact in

Papers in

Illinois Archaeological Survey

4.8k papers receiving 156.4k citations

Peers

Illinois Archaeological Survey
Comparison fields: 5 of 239
  • Nature and Landscape Conservation 22.0k
  • Geochemistry and Petrology 10.3k
  • Ecology 40.3k
  • Global and Planetary Change 32.7k
  • Atmospheric Science 23.0k
Replace Experimental Station with:
Experimental Station United States
Illinois Department of Natural Resources United States
Northern Research Station United States
NOAA Great Lakes Environmental Research Laboratory United States
Minnesota Department of Natural Resources United States
Southern Research Station United States
Savannah River National Laboratory United States
Louisiana Department of Natural Resources United States
Sewanee: The University of the South United States
Michigan Department of Natural Resources United States
Illinois Archaeological Survey relative to Experimental Station United States Experimental Station's profile →
Citations per field
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Experimental Station · 1×
Citations per year

Countries citing scholars working at Illinois Archaeological Survey

Since Specialization
Citations

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

Fields of papers published by authors at Illinois Archaeological Survey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Illinois Archaeological Survey 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 Illinois Archaeological Survey at the time of their publication.

About Illinois Archaeological Survey

In recent decades, authors affiliated with Illinois Archaeological Survey have published 5.1k papers, which have received a total of 162.7k indexed citations . Scholars at this organization have produced 692 papers in Nature and Landscape Conservation, 1.3k papers in Ecology, 277 papers in Geochemistry and Petrology, 310 papers in Paleontology and 501 papers in Insect Science on the topics of Fish Ecology and Management Studies (419 papers), Geology and Paleoclimatology Research (331 papers), Insect-Plant Interactions and Control (272 papers), Wildlife Ecology and Conservation (242 papers), Hydrology and Watershed Management Studies (229 papers), Plant and animal studies (222 papers), Groundwater flow and contamination studies (192 papers) and Ecology and Vegetation Dynamics Studies (191 papers). Their work is cited by papers focused on Nature and Landscape Conservation (22.0k citations), Geochemistry and Petrology (10.3k citations), Ecology (40.3k citations), Global and Planetary Change (32.7k citations) and Atmospheric Science (23.0k citations). Authors at Illinois Archaeological Survey collaborate with scholars in United States, China and Canada and have published in prestigious journals including Zootaxa, Ground Water, Mycologia, JAWRA Journal of the American Water Resources Association and Environmental Entomology. Some of Illinois Archaeological Survey's most productive authors include William R. Roy, Stanley A. Changnon, Michael B. Richman, Kenneth E. Kunkel, Chen‐Lin Chou, David R. Easterling, Kevin P. Johnson, Chris H. Dietrich, Wuncheng Wang and David P. Philipp.

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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