Greg McCarty
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
- Ecology 15
- Remote Sensing in Agriculture 8
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- Remote Sensing and LiDAR Applications 6
- Soil Geostatistics and Mapping 3
- Co-authors
- Megan Lang (11 shared papers)In‐Young Yeo (2 shared papers)Chengquan Huang (4 shared papers)Yi Peng (1 shared paper)Bill Wilen (1 shared paper)Owen T. McDonough (1 shared paper)Grzegorz Siebielec (1 shared paper)Rufus L. Chaney (1 shared paper)
- Journals
- Wetlands (3 papers)Remote Sensing (2 papers)Journal of Visualized Experiments (2 papers)Journal of Environmental Quality (1 paper)Water (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Greg McCarty
25 papers receiving 795 citations
Peers
Comparison fields: 5 of 76
- Environmental Engineering 302
- Water Science and Technology 249
- Global and Planetary Change 375
- Soil Science 167
- Ecology 434
Countries citing papers authored by Greg McCarty
This map shows the geographic impact of Greg McCarty'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 Greg McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg McCarty more than expected).
Fields of papers citing papers by Greg McCarty
This network shows the impact of papers produced by Greg McCarty. 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 Greg McCarty. The network helps show where Greg McCarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg McCarty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2009 | 135 | |
| 3 | 2012 | 111 | |
| 4 | 2012 | 105 | |
| 5 | 2011 | 71 | |
| 6 | 2017 | 50 | |
| 7 | 2007 | 48 | |
| 8 | 2006 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2016 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2007 | 5 | |
| 18 | Monitoring Wetland Hydrology at a Watershed Scale: Dynamic Information For Adaptive Management | 2007 | 3 |
| 19 | 2018 | 3 | |
| 20 | The long term agroecosystem research network - shared research strategy | 2016 | 2 |
About Greg McCarty
Greg McCarty is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Soil Science and Environmental Chemistry, having authored 26 papers that have together received 826 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers), Soil and Water Nutrient Dynamics (5 papers), Land Use and Ecosystem Services (5 papers), Hydrology and Watershed Management Studies (5 papers), Soil erosion and sediment transport (4 papers), Flood Risk Assessment and Management (3 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Environmental Engineering (302 citations), Water Science and Technology (249 citations), Global and Planetary Change (375 citations), Soil Science (167 citations) and Ecology (434 citations). Greg McCarty has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Megan Lang, In‐Young Yeo, Chengquan Huang, Yi Peng, Bill Wilen, Owen T. McDonough, Grzegorz Siebielec, Rufus L. Chaney, Tomasz Stuczyñski and W. Dean Hively. Their work appears in journals such as Wetlands, Remote Sensing, Journal of Visualized Experiments, Journal of Environmental Quality and Water.
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.