Mark Friedl
Impact in
- Ecological Modeling top 0.05%
- Species Distribution and Climate Change
- Global and Planetary Change top 0.02%
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Climate variability and models
Papers in
-
- Plant Water Relations and Carbon Dynamics 53
- Land Use and Ecosystem Services 48
- Climate variability and models 17
- Ecology 123
- Remote Sensing in Agriculture 120
- Co-authors
- Crystal Schaaf (20 shared papers)Carla E. Brodley (11 shared papers)Xiaoyang Zhang (17 shared papers)Alan H. Strahler (19 shared papers)Damien Sulla‐Menashe (18 shared papers)Annemarie Schneider (6 shared papers)Feng Gao (11 shared papers)Bin Tan (2 shared papers)
- Journals
- Remote Sensing of Environment (35 papers)Agricultural and Forest Meteorology (13 papers)Journal of Geophysical Research Atmospheres (8 papers)Geophysical Research Letters (8 papers)Environmental Research Letters (7 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mark Friedl
174 papers receiving 28.7k citations
Mark Friedl's Hit Papers
Peers
Comparison fields: 5 of 179
- Ecological Modeling 4.4k
- Global and Planetary Change 18.6k
- Ecology 17.2k
- Environmental Engineering 9.2k
- Atmospheric Science 6.7k
Countries citing papers authored by Mark Friedl
This map shows the geographic impact of Mark Friedl'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 Mark Friedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Friedl more than expected).
Fields of papers citing papers by Mark Friedl
This network shows the impact of papers produced by Mark Friedl. 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 Mark Friedl. The network helps show where Mark Friedl may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Friedl, 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets Hit paper breakdown → | 2009 | 2826 |
| 2 | Global land cover mapping from MODIS: algorithms and early results Hit paper breakdown → | 2002 | 2289 |
| 3 | Monitoring vegetation phenology using MODIS Hit paper breakdown → | 2003 | 2141 |
| 4 | Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data Hit paper breakdown → | 2002 | 1665 |
| 5 | Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps Hit paper breakdown → | 2012 | 1418 |
| 6 | Decision tree classification of land cover from remotely sensed data Hit paper breakdown → | 1997 | 1262 |
| 7 | Net carbon uptake has increased through warming-induced changes in temperate forest phenology Hit paper breakdown → | 2014 | 826 |
| 8 | Influence of spring and autumn phenological transitions on forest ecosystem productivity Hit paper breakdown → | 2010 | 811 |
| 9 | A new map of global urban extent from MODIS satellite data Hit paper breakdown → | 2009 | 671 |
| 10 | Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics Hit paper breakdown → | 2013 | 643 |
| 11 | Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’ Hit paper breakdown → | 2010 | 597 |
| 12 | Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product Hit paper breakdown → | 2019 | 540 |
| 13 | Drought and ecosystem carbon cycling Hit paper breakdown → | 2011 | 510 |
| 14 | Digital repeat photography for phenological research in forest ecosystems Hit paper breakdown → | 2011 | 506 |
| 15 | 2004 | 461 | |
| 16 | 2006 | 450 | |
| 17 | 2010 | 440 | |
| 18 | 2007 | 366 | |
| 19 | Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery Hit paper breakdown → | 2020 | 336 |
| 20 | 2013 | 307 |
About Mark Friedl
Mark Friedl is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Ecological Modeling and Atmospheric Science, having authored 175 papers that have together received 29.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (120 papers), Plant Water Relations and Carbon Dynamics (53 papers), Land Use and Ecosystem Services (48 papers), Species Distribution and Climate Change (33 papers), Urban Heat Island Mitigation (30 papers), Remote Sensing and LiDAR Applications (24 papers), Remote-Sensing Image Classification (20 papers) and Climate variability and models (17 papers). The work is most often cited by research in Ecological Modeling (4.4k citations), Global and Planetary Change (18.6k citations), Ecology (17.2k citations), Environmental Engineering (9.2k citations) and Atmospheric Science (6.7k citations). Mark Friedl has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Crystal Schaaf, Carla E. Brodley, Xiaoyang Zhang, Alan H. Strahler, Damien Sulla‐Menashe, Annemarie Schneider, Feng Gao, Bin Tan, J.C.F. Hodges and Xiaoman Huang. Their work appears in journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology, Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Environmental Research Letters.
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.