Greg Easson

35 papers receiving 346 citations

Peers

Greg Easson
Comparison fields: 5 of 62
  • Atmospheric Science 123
  • Environmental Engineering 98
  • Media Technology 53
  • Global and Planetary Change 125
  • Water Science and Technology 69
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Countries citing papers authored by Greg Easson

Since Specialization
Citations

This map shows the geographic impact of Greg Easson'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 Easson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Easson more than expected).

Fields of papers citing papers by Greg Easson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Easson. 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 Easson. The network helps show where Greg Easson may publish in the future.

Co-authors

The 22 scholars most cited alongside Greg Easson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Easson Line = papers co-authored together Greg Easson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200781
2 201629
3 200728
4 200227
5 200523
6
QUICKBIRD 2 TASSELED CAP TRANSFORM COEFFICIENTS: A COMPARISON OF DERIVATION METHODS
200518
7 201217
8 200916
9 200716
10 201013
11 200812
12 201110
13 201010
14 200910
15
INTEGRATION OF LOGISTIC REGRESSION AND GENETIC PROGRAMMING TO MODEL COASTAL LOUISIANA LAND LOSS USING REMOTE SENSING
20077
16 20246
17
GENETIC PROGRAMMING AS A PREPROCESSING TOOL TO AID MULTI- TEMPORAL IMAGERY CLASSIFICATION
20066
18 20235
19
Mapping spatial variation in surface moisture using reflective and thermal aster imagery for southern Africa
20065
20
The Use of Multispectral Imagery to Detect Variations in Soil Moisture Associated Shallow Soil Slumps
20044

About Greg Easson

Greg Easson is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Artificial Intelligence, having authored 37 papers that have together received 376 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Remote-Sensing Image Classification (7 papers), Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Hydrology and Watershed Management Studies (5 papers), Precipitation Measurement and Analysis (4 papers), Remote Sensing and Land Use (4 papers) and Soil Moisture and Remote Sensing (4 papers). The work is most often cited by research in Atmospheric Science (123 citations), Environmental Engineering (98 citations), Media Technology (53 citations), Global and Planetary Change (125 citations) and Water Science and Technology (69 citations). Greg Easson has collaborated with scholars based in United States, Canada and Mali. Frequent co-authors include J. S. Kuszmaul, Henrique G. Momm, Sayma Rahman, Amvrossios C. Bagtzoglou, A. K. M. Azad Hossain, Faisal Hossain, Vijendra K. Boken, Jonathan H. Williams, Gerrit Hoogenboom and Edward S. DeKeyser. Their work appears in journals such as Sensors, International Journal of Remote Sensing, Wetlands, Geomatics Natural Hazards and Risk and Environmental and Engineering Geoscience.

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.

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