Chad A. Larson
- Environmental Chemistry top 5%
- Aquatic Ecosystems and Phytoplankton Dynamics 11
- Ecological Modeling top 10%
- Species Distribution and Climate Change 9
- Ecology top 5%
- Freshwater macroinvertebrate diversity and ecology 13
- Aquatic Invertebrate Ecology and Behavior 6
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- Fish Ecology and Management Studies 16
- Ecology and Vegetation Dynamics Studies 4
- Oceanography top 10%
- Marine and coastal ecosystems 6
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- Diatoms and Algae Research 3
- Co-authors
- Sophia I. PassyGary E. BelovskyPeter A. Van ZandtBabur S. MirzaJorge L. Mazza RodriguesRobert L. BaskinDoyle W. StephensDavid L. Naftz
- Journals
- Ecological Indicators (3 papers)Global Ecology and Biogeography (3 papers)FEMS Microbiology Ecology (3 papers)
- Partner nations
- United StatesFranceFinland
In The Last Decade
Chad A. Larson
30 papers receiving 605 citations
Peers
Comparison fields: 5 of 69
- Environmental Chemistry 221
- Ecological Modeling 66
- Ecology 389
- Nature and Landscape Conservation 182
- Oceanography 129
Countries citing papers authored by Chad A. Larson
This map shows the geographic impact of Chad A. Larson'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 Chad A. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad A. Larson more than expected).
Fields of papers citing papers by Chad A. Larson
This network shows the impact of papers produced by Chad A. Larson. 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 Chad A. Larson. The network helps show where Chad A. Larson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad A. Larson, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 17 | |
| 14 | 2018 | 5 | |
| 15 | 2016 | 10 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 16 | |
| 18 | 2012 | 47 | |
| 19 | 2011 | 82 | |
| 20 | Development of bull trout sampling efficiency models | 2004 | 2 |
About Chad A. Larson
Chad A. Larson is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Environmental Chemistry, having authored 32 papers that have together received 634 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (16 papers), Freshwater macroinvertebrate diversity and ecology (13 papers), Aquatic Ecosystems and Phytoplankton Dynamics (11 papers), Species Distribution and Climate Change (9 papers), Aquatic Invertebrate Ecology and Behavior (6 papers), Marine and coastal ecosystems (6 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Diatoms and Algae Research (3 papers). The work is most often cited by research in Environmental Chemistry (221 citations), Ecological Modeling (66 citations) and Ecology (389 citations). Chad A. Larson has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Sophia I. Passy, Gary E. Belovsky, Peter A. Van Zandt, Babur S. Mirza, Jorge L. Mazza Rodrigues, Robert L. Baskin, Doyle W. Stephens, David L. Naftz, Hongsheng Liu and Janne Soininen. Their work appears in journals such as Ecological Indicators, Global Ecology and Biogeography, FEMS Microbiology Ecology, Microbial Ecology and Ecology.
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.