Kim Mueller

555 citations
12 papers · 386 · h-index 8

Impact in

Papers in

    • Atmospheric and Environmental Gas Dynamics 6
    • Climate variability and models 3
    • Plant Water Relations and Carbon Dynamics 2
    • Atmospheric chemistry and aerosols 3
    • Meteorological Phenomena and Simulations 2

Kim Mueller

9 papers receiving 375 citations

Peers

Kim Mueller
Comparison fields: 5 of 47
  • Global and Planetary Change 322
  • Ecological Modeling 52
  • Atmospheric Science 171
  • Ecology 140
  • Environmental Engineering 75
Replace David Durden with:
David Durden United States
T.P. DeFelice United States
Geethen Singh South Africa
Hongyan Luo United States
M. V. R. Seshasai India
Rick Ketler Canada
Jiabin Pu China
Binyan Yan China
Junghee Lee South Korea
Keiji Kushida Japan
Kim Mueller relative to David Durden United States David Durden's profile →
Citations per field
00.5×5.3×
David Durden · 1×
Citations per year

Countries citing papers authored by Kim Mueller

Since Specialization
Citations

This map shows the geographic impact of Kim Mueller'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 Kim Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Mueller more than expected).

Fields of papers citing papers by Kim Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Mueller. 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 Kim Mueller. The network helps show where Kim Mueller may publish in the future.

Co-authors

The 25 scholars most cited alongside Kim Mueller, 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 Kim Mueller Line = papers co-authored together Kim Mueller links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011147
2 200848
3 200847
4 201936
5 201433
6 201032
7 201231
8
2016 report on the health of Colorado's forests
20168
9 19912
10
Marquette Basketball Attendance Analysis
20131
11
2014 report on the health of Colorado's forests : urban and community forests : an investment in Colorado
20181
12 20210

About Kim Mueller

Kim Mueller is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Nature and Landscape Conservation and Mechanics of Materials, having authored 12 papers that have together received 386 indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (6 papers), Atmospheric chemistry and aerosols (3 papers), Climate variability and models (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Meteorological Phenomena and Simulations (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Remote Sensing in Agriculture (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Global and Planetary Change (322 citations), Ecological Modeling (52 citations), Atmospheric Science (171 citations), Ecology (140 citations) and Environmental Engineering (75 citations). Kim Mueller has collaborated with scholars based in United States and South Korea. Frequent co-authors include A. M. Michalak, Sharon Gourdji, Peter S. Curtis, Gil Bohrer, K. Maurer, Christoph S. Vogel, S. R. Garrity, Vineet Yadav, Kevin Schaefer and Yoichi P. Shiga. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Global Biogeochemical Cycles, Agricultural and Forest Meteorology, American Industrial Hygiene Association Journal and Innovation in Aging.

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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