John L. Dwyer

6.9k total citations · 3 hit papers
38 papers, 3.8k citations indexed

About

John L. Dwyer is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, John L. Dwyer has authored 38 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Atmospheric Science and 12 papers in Global and Planetary Change. Recurrent topics in John L. Dwyer's work include Remote Sensing in Agriculture (12 papers), Climate change and permafrost (9 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). John L. Dwyer is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Climate change and permafrost (9 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). John L. Dwyer collaborates with scholars based in United States, Australia and United Kingdom. John L. Dwyer's co-authors include James R. Irons, Julia A. Barsi, Thomas R. Loveland, Gail Schmidt, Pat Scaramuzza, Steve Foga, M. Joseph Hughes, Zhe Zhu, Tim Beckmann and Song Guo and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

John L. Dwyer

38 papers receiving 3.7k citations

Hit Papers

Cloud detection algorithm comparison and validation for ... 2012 2026 2016 2021 2017 2012 2018 250 500 750

Peers

John L. Dwyer
Umberto Del Bello Netherlands
François Spoto Netherlands
Philippe Martimort Netherlands
Omar Sy Netherlands
Claudia Isola Netherlands
Junchang Ju United States
Umberto Del Bello Netherlands
John L. Dwyer
Citations per year, relative to John L. Dwyer John L. Dwyer (= 1×) peers Umberto Del Bello

Countries citing papers authored by John L. Dwyer

Since Specialization
Citations

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

Fields of papers citing papers by John L. Dwyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Dwyer. 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 John L. Dwyer. The network helps show where John L. Dwyer may publish in the future.

Co-authorship network of co-authors of John L. Dwyer

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Dwyer. A scholar is included among the top collaborators of John L. Dwyer 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 John L. Dwyer. John L. Dwyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goward, Samuel N., Jeffrey G. Masek, Thomas R. Loveland, et al.. (2021). Semi-Centennial of Landsat Observations & Pending Landsat 9 Launch. Photogrammetric Engineering & Remote Sensing. 87(8). 533–539. 5 indexed citations
2.
Hawbaker, Todd J., Melanie K. Vanderhoof, Yen-Ju Beal, et al.. (2017). Mapping burned areas using dense time-series of Landsat data. Remote Sensing of Environment. 198. 504–522. 172 indexed citations
3.
Foga, Steve, et al.. (2016). THE FUTURE OF LANDSAT DATA PRODUCTS: ANALYSIS-READY DATA AND ESSENTIAL CLIMATE VARIABLES. Abstracts with programs - Geological Society of America. 1 indexed citations
4.
Storey, James C., David P. Roy, Jeffrey G. Masek, et al.. (2016). A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery. Remote Sensing of Environment. 186. 121–122. 132 indexed citations
5.
Dwyer, John L.. (2014). Development of Landsat Information Products to Support Land Change Monitoring, Assessment, and Projection (lcmap). 2014 AGU Fall Meeting. 2014. 1 indexed citations
6.
Wu, Zhuoting, Prasad S. Thenkabail, Rick Mueller, et al.. (2014). Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm. Journal of Applied Remote Sensing. 8(1). 83685–83685. 29 indexed citations
7.
Scaramuzza, Pat, et al.. (2013). Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data. Remote Sensing of Environment. 136. 1–13. 56 indexed citations
8.
Dwyer, John L., et al.. (2011). Developing climate data records and essential climate variables from landsat data. 4 indexed citations
9.
Bouchard, Michelle, et al.. (2011). Development of the Landsat Data Continuity Mission Cloud-Cover Assessment Algorithms. IEEE Transactions on Geoscience and Remote Sensing. 50(4). 1140–1154. 87 indexed citations
10.
Bouchard, Michelle, John L. Dwyer, & Brian Granneman. (2009). A Yukon River Basin Landsat Mosaic for Assessing Environmental Change. AGUFM. 2009. 1 indexed citations
11.
Ji, Lei, Kevin P. Gallo, Jeffery C. Eidenshink, & John L. Dwyer. (2008). Agreement evaluation of AVHRR and MODIS 16‐day composite NDVI data sets. International Journal of Remote Sensing. 29(16). 4839–4861. 30 indexed citations
12.
Bishop, Michael P., John F. Shroder, Roger G. Barry, et al.. (2004). Global Land Ice Measurements from Space (GLIMS): Remote Sensing and GIS Investigations of the Earth's Cryosphere. Geocarto International. 19(2). 57–84. 97 indexed citations
13.
Ramsey, M. S., et al.. (2004). The ASTER emergency scheduling system: A new project linking near-real-time satellite monitoring of disasters to the acquisition of high-resolution remote sensing data. AGU Fall Meeting Abstracts. 2004. 14 indexed citations
14.
Gallo, Kevin P., et al.. (2004). Comparison of MODIS and AVHRR 16‐day normalized difference vegetation index composite data. Geophysical Research Letters. 31(7). 53 indexed citations
15.
Dwyer, John L.. (1995). Mapping tide-water glacier dynamics in East Greenland using Landsat data. Journal of Glaciology. 41(139). 584–595. 44 indexed citations
16.
Dwyer, John L.. (1995). Mapping tide-water glacier dynamics in East Greenland using Landsat data. Journal of Glaciology. 41(139). 584–595. 11 indexed citations
17.
Dwyer, John L., Fred A. Kruse, & A. B. Lefkoff. (1995). Effects of empirical versus model-based reflectance calibration on automated analysis of imaging spectrometer data: a case study from the Drum Mountains, Utah. Photogrammetric Engineering & Remote Sensing. 61(10). 1247–1254. 22 indexed citations
18.
Kruse, Fred A. & John L. Dwyer. (1993). The effects of AVIRIS atmospheric calibration methodology on identification and quantitative mapping of surface mineralogy, Drum Mountains, Utah. NASA Technical Reports Server (NASA). 1 indexed citations
19.
Dwyer, John L., et al.. (1988). A high resolution infrared study of HY and HZSM-20 in the hydroxy stretching region. Journal of the Chemical Society Chemical Communications. 594–594. 6 indexed citations
20.
Dwyer, John L., et al.. (1988). AVIRIS data characteristics and their effects on spectral discrimination of rocks exposed in the Drum Mountains, Utah: Results of a preliminary study. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations

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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