S. S. Saatchi

1.7k total citations
53 papers, 969 citations indexed

About

S. S. Saatchi is a scholar working on Environmental Engineering, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, S. S. Saatchi has authored 53 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Environmental Engineering, 19 papers in Aerospace Engineering and 12 papers in Atmospheric Science. Recurrent topics in S. S. Saatchi's work include Soil Moisture and Remote Sensing (22 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers) and Remote Sensing and LiDAR Applications (9 papers). S. S. Saatchi is often cited by papers focused on Soil Moisture and Remote Sensing (22 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers) and Remote Sensing and LiDAR Applications (9 papers). S. S. Saatchi collaborates with scholars based in United States, Bulgaria and United Kingdom. S. S. Saatchi's co-authors include E. Podest, João Vianei Soares, Diógenes Salas Alves, Guoqing Sun, K.J. Ranson, Eric Rignot, Mahta Moghaddam, Richard H. Cuenca, Bruce Nelson and J. W. Holt and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

S. S. Saatchi

48 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. S. Saatchi United States 14 662 368 315 249 226 53 969
J. Way United States 16 691 1.0× 230 0.6× 407 1.3× 420 1.7× 194 0.9× 53 1.1k
Oliver Cartus Switzerland 19 863 1.3× 592 1.6× 331 1.1× 210 0.8× 436 1.9× 51 1.3k
F.J. Ahern Canada 13 453 0.7× 524 1.4× 168 0.5× 143 0.6× 388 1.7× 48 881
Kathleen M. Bergen United States 18 822 1.2× 668 1.8× 289 0.9× 238 1.0× 591 2.6× 44 1.5k
Marcus Engdahl Italy 18 713 1.1× 391 1.1× 576 1.8× 493 2.0× 215 1.0× 42 1.4k
T. Letoan France 6 593 0.9× 300 0.8× 368 1.2× 155 0.6× 253 1.1× 13 880
Takeshi Motohka Japan 20 637 1.0× 832 2.3× 389 1.2× 238 1.0× 513 2.3× 88 1.5k
Tomohiro Shiraishi Japan 8 399 0.6× 426 1.2× 127 0.4× 115 0.5× 371 1.6× 20 755
H. Karszenbaum Argentina 15 367 0.6× 341 0.9× 131 0.4× 214 0.9× 375 1.7× 60 812
J.J. van der Sanden Canada 19 579 0.9× 564 1.5× 213 0.7× 430 1.7× 453 2.0× 50 1.3k

Countries citing papers authored by S. S. Saatchi

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Saatchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Saatchi

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Saatchi. A scholar is included among the top collaborators of S. S. Saatchi 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 S. S. Saatchi. S. S. Saatchi 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.
Ferraz, António, S. S. Saatchi, Michael Keller, Marcos Longo, & Jean Pierre Ometto. (2019). Lidar tree crown detection reveals new patterns of tree density, height and volume in the Brazilian Amazon. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 2019. 1 indexed citations
2.
Espírito-Santo, Fernando Del Bon, S. S. Saatchi, & Michael Keller. (2017). Detecting tree-fall gap disturbances in tropical rain forests with airborne lidar. AGUFM. 2017. 1 indexed citations
3.
Lavalle, Marco, S. Hensley, Yunling Lou, et al.. (2016). Canopy Height and Vertical Structure from Multibaseline Polarimetric InSAR: First Results of the 2016 NASA/ESA AfriSAR Campaign. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
4.
Moghaddam, Mahta, Dara Entekhabi, P. R. Moorcroft, et al.. (2015). Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Earth Venture Suborbital Mission Overview. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
5.
García‐Alonso, M. C., António Ferraz, S. S. Saatchi, et al.. (2015). Estimating forest biomass from LiDAR data: A comparison of the raster-based and point-cloud data approach. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
6.
Kellndorfer, Josef, Ralph Dubayah, Paul Siqueira, et al.. (2014). Large-Scale Mapping and Monitoring of Terrestrial Ecosystems with the NISAR Mission. 2014 AGU Fall Meeting. 2014. 1 indexed citations
7.
Fisher, Joshua B., Stephen Sitch, Philippe Ciais, et al.. (2013). African tropical rainforest net CO2 fluxes in the 20th century. AGUFM. 2013. 1 indexed citations
8.
Saatchi, S. S., Ernesto Rodríguez, Scott Denning, & Ralph Dubayah. (2013). LBA-ECO LC-15 Aerodynamic Roughness Maps of Vegetation Canopies, Amazon Basin: 2000. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 1 indexed citations
9.
Saatchi, S. S., et al.. (2012). Lidar Estimation of Aboveground Biomass in a Tropical Coastal Forest of Gabon. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
10.
Ganguly, Sangram, Michael A. White, C. Milesi, et al.. (2012). A simple Parametric Estimation of Live Forest Aboveground Biomass in California Using Satellite Derived Metrics of Canopy Height and Leaf Area Index. AGU Fall Meeting Abstracts. 2012. 4 indexed citations
11.
Samanta, Arup, Yuri Knyazikhin, Liang Xu, et al.. (2011). Seasonal Changes in Leaf Area of Amazon Forests from Leaf Flushing and Abscission. AGUFM. 2011. 3 indexed citations
12.
Dubayah, Ralph, Amanda Armstrong, Bruce D. Cook, et al.. (2011). County-Scale Carbon Estimation in NASA's Carbon Monitoring System. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
13.
Frankenberg, Christian, Joshua B. Fisher, Luis Guanter, et al.. (2011). New global observations of the terrestrial carbon cycle from GOSAT: Patterns of vegetation fluorescence with gross primary productivity. AGU Fall Meeting Abstracts. 2011.
14.
Moreno, J. & S. S. Saatchi. (2005). Surface information retrieval from optical/microwave data: potentials and limits of synergistic approaches. 3. 1861–1863. 1 indexed citations
15.
Saatchi, S. S., Roger H. Lang, & D. M. Levine. (2005). Microwave Backscattering And Emission Model For Grass Canopies. 4. 1889–1892.
16.
Moghaddam, Mahta, Yahya Rahmat‐Samii, Jennifer E. Hoffman, et al.. (2003). Latest advances in the Microwave Observatory of Subcanopy and Subsurface (MOSS) project. NASA Technical Reports Server (NASA). 1 indexed citations
17.
Freeman, A., S. S. Saatchi, Yasuo Kuga, & Akira Ishimaru. (1998). Detection, Estimation and Correction of Faraday Rotation in Linearly Polarized SAR Backscatter Signatures. Radio Science. 4 indexed citations
18.
Saatchi, S. S. & Roger H. Lang. (1990). Average reflected power from a one‐dimensional slab of discrete scatterers. Radio Science. 25(4). 407–417. 2 indexed citations
19.
Lang, Roger H., S. S. Saatchi, & D. M. Levine. (1986). Microwave backscattering from an anisotropic soybean canopy. 2. 1107–1112. 12 indexed citations
20.
Boerner, Wolfgang‐M., et al.. (1981). Polarization Utilization in Radar Target Reconstruction. Defense Technical Information Center (DTIC). 7 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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