E. Masuoka

2.1k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

E. Masuoka is a scholar working on Aerospace Engineering, Atmospheric Science and Ecology. According to data from OpenAlex, E. Masuoka has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 6 papers in Atmospheric Science and 5 papers in Ecology. Recurrent topics in E. Masuoka's work include Calibration and Measurement Techniques (8 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Remote Sensing in Agriculture (5 papers). E. Masuoka is often cited by papers focused on Calibration and Measurement Techniques (8 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Remote Sensing in Agriculture (5 papers). E. Masuoka collaborates with scholars based in United States. E. Masuoka's co-authors include Robert E. Wolfe, Éric Vermote, David P. Roy, J. R. Townshend, C. O. Justice, Nazmi Saleous, Jeffrey T. Morisette, William L. Barnes, Jun Xiong and Steven Kempler and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

E. Masuoka

18 papers receiving 1.5k citations

Hit Papers

An overview of MODIS Land data processing and product status 2002 2026 2010 2018 2002 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An overview of MODIS Land data processing and product status
    2002 1.0k citations C. O. Justice, J. R. Townshend et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Masuoka United States 8 878 811 496 491 192 18 1.6k
M. J. Barnsley United Kingdom 18 735 0.8× 875 1.1× 357 0.7× 543 1.1× 193 1.0× 37 1.5k
Jaime Nickeson United States 14 961 1.1× 1.1k 1.3× 344 0.7× 685 1.4× 98 0.5× 32 1.7k
F. Bonn Canada 18 738 0.8× 1.2k 1.5× 426 0.9× 1.0k 2.1× 215 1.1× 54 2.3k
D. E. STREBEL United States 15 1.4k 1.6× 1.1k 1.3× 696 1.4× 827 1.7× 123 0.6× 37 2.2k
G. Fedosejevs Canada 20 756 0.9× 814 1.0× 561 1.1× 491 1.0× 497 2.6× 43 1.6k
Alexander P. Trishchenko Canada 26 1.3k 1.5× 813 1.0× 939 1.9× 486 1.0× 298 1.6× 80 2.1k
Jun Xiong United States 16 1.2k 1.3× 1.2k 1.5× 573 1.2× 484 1.0× 137 0.7× 25 2.0k
M. Clerici Italy 15 733 0.8× 511 0.6× 310 0.6× 289 0.6× 108 0.6× 31 1.2k
P. Bicheron France 12 1.2k 1.3× 1.4k 1.7× 423 0.9× 827 1.7× 72 0.4× 23 2.0k
Sadashiva Devadiga United States 11 749 0.9× 677 0.8× 301 0.6× 372 0.8× 108 0.6× 28 1.2k

Countries citing papers authored by E. Masuoka

Since Specialization
Citations

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

Fields of papers citing papers by E. Masuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Masuoka

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

All Works

18 of 18 papers shown
1.
Becker‐Reshef, Inbal, Chris Justice, Mark Sullivan, et al.. (2010). Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project. Remote Sensing. 2(6). 1589–1609. 219 indexed citations
2.
Vermote, Éric, C. O. Justice, Martin Claverie, et al.. (2009). A Terrestrial Surface Climate Data Record for Global Change Studies. AGU Fall Meeting Abstracts. 2009. 5 indexed citations
3.
Pedelty, J. A., E. Vermote, Sadashiva Devadiga, et al.. (2007). Generating a Long-term Land Data Record from the AVHRR and MODIS Instruments. AGUFM. 2007. 1 indexed citations
4.
Vermote, E., E. Masuoka, J. L. Privette, et al.. (2004). A long-term land data record from AVHRR, MODIS and VIIRS.. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
5.
Salomonson, V. V., William L. Barnes, Jun Xiong, Steven Kempler, & E. Masuoka. (2003). An overview of the Earth Observing System MODIS instrument and associated data systems performance. 2. 1174–1176. 144 indexed citations
6.
Tilmes, Curt, et al.. (2002). Concepts for scaling the processing capability of the MODIS data processing System (MODAPS). 5. 2062–2064. 2 indexed citations
7.
Justice, C. O., J. R. Townshend, Éric Vermote, et al.. (2002). An overview of MODIS Land data processing and product status. Remote Sensing of Environment. 83(1-2). 3–15. 1031 indexed citations breakdown →
8.
Masuoka, E., et al.. (2002). Producing global science products for the MODerate resolution Imaging Spectroradiometer (MODIS) in MODAPS. NASA Technical Reports Server (NASA). 5. 2050–2052. 7 indexed citations
9.
Masuoka, E., et al.. (2002). Science investigator-led global processing for the MODIS instrument. Zenodo (CERN European Organization for Nuclear Research). 1. 384–386. 1 indexed citations
10.
11.
Masuoka, E., et al.. (2002). Evolution of the MODIS science data processing system. Zenodo (CERN European Organization for Nuclear Research). 3. 1454–1457. 13 indexed citations
12.
Masuoka, E., A. J. Fleig, Robert E. Wolfe, & Frederick S. Patt. (1998). Key characteristics of MODIS data products. IEEE Transactions on Geoscience and Remote Sensing. 36(4). 1313–1323. 99 indexed citations
13.
Masuoka, E., et al.. (1985). Experimental evidence for spring and autumn windows for the detection of geobotanical anomalies through the remote sensing of overlying vegetation. International Journal of Remote Sensing. 6(1). 195–216. 5 indexed citations
14.
Bell, R.W., et al.. (1985). A "blind" test of a methodology for the detection of mineralization through the remote sensing of vegetation. Economic Geology. 80(3). 560–574. 4 indexed citations
15.
Masuoka, E., et al.. (1984). Changes in vegetation spectra with leaf deterioration under two methods of preservation. Photogrammetric Engineering & Remote Sensing. 50. 2 indexed citations
16.
Masuoka, E., et al.. (1984). The influence of autocorrelation in signature extraction—an example from a geobotanical investigation of Cotter Basin, Montana. International Journal of Remote Sensing. 5(2). 315–332. 18 indexed citations
17.
Masuoka, E., et al.. (1983). The application of remote sensing in geobotanical exploration for metal sulfides. Pages. 4 indexed citations
18.

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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