Jeff Masek
Impact in
- Geophysics top 10%
- earthquake and tectonic studies
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 8
- Remote Sensing in Agriculture 8
-
- Remote Sensing and LiDAR Applications 7
- Co-authors
- C. H. Duncan (2 shared papers)E. J. Fielding (1 shared paper)Dennis Brown (1 shared paper)Stuart Hardy (1 shared paper)Beth Ziniti (1 shared paper)Michele L. Reba (1 shared paper)Xiaodong Huang (1 shared paper)David M. Johnson (1 shared paper)
- Journals
- Remote Sensing (3 papers)Basin Research (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)Frontiers in Earth Science (1 paper)Geology (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Jeff Masek
9 papers receiving 310 citations
Peers
Comparison fields: 5 of 39
- Geophysics 119
- Environmental Engineering 91
- Ecology 123
- Earth-Surface Processes 30
- Atmospheric Science 75
Countries citing papers authored by Jeff Masek
This map shows the geographic impact of Jeff Masek'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 Jeff Masek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Masek more than expected).
Fields of papers citing papers by Jeff Masek
This network shows the impact of papers produced by Jeff Masek. 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 Jeff Masek. The network helps show where Jeff Masek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Masek, 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 | 2002 | 84 | |
| 2 | 1998 | 69 | |
| 3 | 2018 | 66 | |
| 4 | 2018 | 50 | |
| 5 | 2015 | 28 | |
| 6 | 2018 | 14 | |
| 7 | 2013 | 7 | |
| 8 | 2015 | 4 | |
| 9 | Measurement of forest disturbance and regrowth with Landsat and forest inventory and analysis data: anticipated benefits from forest and inventory analysis' collaboration with the national aeronautics and space administration and university partners | 2007 | 2 |
| 10 | Analyzing Landsat time-series data across adjacent path/rows and across multiple cycles of FIA: Lessons learned in southern Missouri | 2009 | 0 |
About Jeff Masek
Jeff Masek is a scholar working on Ecology, Environmental Engineering, Atmospheric Science, Nature and Landscape Conservation and Geophysics, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (7 papers), Forest ecology and management (3 papers), Remote Sensing and Land Use (2 papers), Geological and Geochemical Analysis (2 papers), earthquake and tectonic studies (2 papers), Geology and Paleoclimatology Research (2 papers) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Geophysics (119 citations), Environmental Engineering (91 citations), Ecology (123 citations), Earth-Surface Processes (30 citations) and Atmospheric Science (75 citations). Jeff Masek has collaborated with scholars based in United States, France and Spain. Frequent co-authors include C. H. Duncan, E. J. Fielding, Dennis Brown, Stuart Hardy, Beth Ziniti, Michele L. Reba, Xiaodong Huang, David M. Johnson, Nathan Torbick and Adam Lewis. Their work appears in journals such as Remote Sensing, Basin Research, IEEE Geoscience and Remote Sensing Letters, Frontiers in Earth Science and Geology.
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.