Kevin M. Geyer
- Soil Science top 1%
- Soil Carbon and Nitrogen Dynamics 12
- Ecology top 2%
- Microbial Community Ecology and Physiology 12
- Polar Research and Ecology 5
- Peatlands and Wetlands Ecology 3
- Coral and Marine Ecosystems Studies 2
- Environmental Chemistry top 5%
- Soil and Water Nutrient Dynamics 5
- Insect Science top 5%
- Forest Ecology and Biodiversity Studies 3
- Agronomy and Crop Science top 10%
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- Mycorrhizal Fungi and Plant Interactions 4
- Co-authors
- Serita D. FreyA. Stuart GrandyEmily Kyker‐SnowmanRobert L. SinsabaughPaul DijkstraJ. BarrettRichard P. PhillipsEdward Brzostek
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Kevin M. Geyer
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Soil Science 898
- Ecology 759
- Environmental Chemistry 232
- Insect Science 110
- Agronomy and Crop Science 90
Countries citing papers authored by Kevin M. Geyer
This map shows the geographic impact of Kevin M. Geyer'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 Kevin M. Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Geyer more than expected).
Fields of papers citing papers by Kevin M. Geyer
This network shows the impact of papers produced by Kevin M. Geyer. 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 Kevin M. Geyer. The network helps show where Kevin M. Geyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin M. Geyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 42 | |
| 4 | Fast-decaying plant litter enhances soil carbon in temperate forests but not through microbial physiological traitsbreakdown → | 2022 | 206 |
| 5 | 2022 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 32 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 45 | |
| 11 | 2020 | 136 | |
| 12 | 2019 | 18 | |
| 13 | 2018 | 215 | |
| 14 | 2017 | 13 | |
| 15 | Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matterbreakdown → | 2016 | 295 |
| 16 | 2016 | 2 | |
| 17 | 2016 | 36 | |
| 18 | 2014 | 33 | |
| 19 | 2013 | 85 | |
| 20 | 2013 | 26 |
About Kevin M. Geyer
Kevin M. Geyer is a scholar working on Soil Science, Ecology and Environmental Chemistry, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (12 papers), Microbial Community Ecology and Physiology (12 papers), Soil and Water Nutrient Dynamics (5 papers), Polar Research and Ecology (5 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Peatlands and Wetlands Ecology (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Coral and Marine Ecosystems Studies (2 papers). The work is most often cited by research in Soil Science (898 citations), Ecology (759 citations) and Environmental Chemistry (232 citations). Kevin M. Geyer has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Serita D. Frey, A. Stuart Grandy, Emily Kyker‐Snowman, Robert L. Sinsabaugh, Paul Dijkstra, J. Barrett, Richard P. Phillips, Edward Brzostek, Matthew E. Craig and Katilyn V. Beidler. Their work appears in journals such as Nature Communications, PLoS ONE and Global Change Biology.
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.