Kim Mueller

553 citations
11 papers · 382 · 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 371 citations

Peers

Kim Mueller
Comparison fields: 5 of 47
  • Global and Planetary Change 319
  • Ecological Modeling 53
  • Atmospheric Science 169
  • Ecology 141
  • Environmental Engineering 76
Replace David Durden with:
David Durden United States
T.P. DeFelice United States
Geethen Singh South Africa
Hongyan Luo United States
Shengli Huang United States
M. V. R. Seshasai India
Rick Ketler Canada
Liying Geng China
Jiabin Pu China
B. de Jong Mexico
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Citations per field
00.5×5.3×
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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

11 of 11 papers shown
#Work
1 2011147
2 200848
3 200847
4 201433
5 201932
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

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 11 papers that have together received 382 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), Meteorological Phenomena and Simulations (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Forest ecology and management (1 paper) and Hydrocarbon exploration and reservoir analysis (1 paper). The work is most often cited by research in Global and Planetary Change (319 citations), Ecological Modeling (53 citations), Atmospheric Science (169 citations), Ecology (141 citations) and Environmental Engineering (76 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, K. Maurer, Christoph S. Vogel, S. R. Garrity, Gil Bohrer, Vineet Yadav, Kevin Schaefer and Yoichi P. Shiga. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Agricultural and Forest Meteorology, American Industrial Hygiene Association Journal, Journal of Geophysical Research Atmospheres and Global Biogeochemical Cycles.

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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