MacKenzie Friedrichs
- Global and Planetary Change top 5%
- Water Science and Technology top 5%
- Ecology
- Environmental Engineering top 10%
- Soil Science top 10%
- Co-authors
- G. B. SenayNaga Manohar VelpuriR. K. SinghStefanie KagoneKul KhandCharles MortonJustin HuntingtonT. H. Marek
- Topics
- Plant Water Relations and Carbon Dynamics (13 papers)Hydrology and Watershed Management Studies (8 papers)Climate variability and models (6 papers)
- Partner nations
- United StatesAustraliaSri Lanka
In The Last Decade
MacKenzie Friedrichs
12 papers receiving 396 citations
Peers
Comparison fields: 5 of 44
- Global and Planetary Change 338
- Water Science and Technology 227
- Ecology 87
- Environmental Engineering 78
- Soil Science 68
Countries citing papers authored by MacKenzie Friedrichs
This map shows the geographic impact of MacKenzie Friedrichs'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 MacKenzie Friedrichs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MacKenzie Friedrichs more than expected).
Fields of papers citing papers by MacKenzie Friedrichs
This network shows the impact of papers produced by MacKenzie Friedrichs. 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 MacKenzie Friedrichs. The network helps show where MacKenzie Friedrichs may publish in the future.
Co-authorship network of co-authors of MacKenzie Friedrichs
This figure shows the co-authorship network connecting the top 25 collaborators of MacKenzie Friedrichs. A scholar is included among the top collaborators of MacKenzie Friedrichs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with MacKenzie Friedrichs. MacKenzie Friedrichs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 30 | |
| 6 | 60 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 28 | |
| 11 | Field Scale Crop Water Use Trends and Spatial Variability over the Upper Rio Grande Basin of United States and Mexico using Landsat-Based Evapotranspiration | 1 |
| 12 | 80 | |
| 13 | 166 | |
| 14 | 27 |
About MacKenzie Friedrichs
MacKenzie Friedrichs is a scholar working on Water Science and Technology, Global and Planetary Change and Soil Science, having authored 14 papers that have together received 417 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (13 papers), Hydrology and Watershed Management Studies (8 papers) and Climate variability and models (6 papers). The work is most often cited by research in Water Science and Technology (227 citations), Global and Planetary Change (338 citations) and Soil Science (68 citations). MacKenzie Friedrichs has collaborated with scholars based in United States, Australia and Sri Lanka. Frequent co-authors include G. B. Senay, Naga Manohar Velpuri, R. K. Singh, Stefanie Kagone, Kul Khand, Charles Morton, Justin Huntington, T. H. Marek, S. Bohms and Lei Ji. Their work appears in journals such as Remote Sensing of Environment, Journal of Hydrology and Remote Sensing.
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.