Paul Siqueira

3.5k total citations
124 papers, 2.2k citations indexed

About

Paul Siqueira is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Paul Siqueira has authored 124 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 65 papers in Environmental Engineering and 41 papers in Atmospheric Science. Recurrent topics in Paul Siqueira's work include Synthetic Aperture Radar (SAR) Applications and Techniques (62 papers), Soil Moisture and Remote Sensing (39 papers) and Cryospheric studies and observations (30 papers). Paul Siqueira is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (62 papers), Soil Moisture and Remote Sensing (39 papers) and Cryospheric studies and observations (30 papers). Paul Siqueira collaborates with scholars based in United States, Canada and United Kingdom. Paul Siqueira's co-authors include R. N. Treuhaft, S. Hensley, Kamal Sarabandi, Yang Lei, Bruce Chapman, Kathleen M. Bergen, A. Freeman, Josef Kellndorfer, F.T. Ulaby and Nathan Torbick 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

Paul Siqueira

116 papers receiving 2.1k citations

Peers

Paul Siqueira

ECOLO

MMPL

Kostas Papathanassiou Germany

R. N. Treuhaft United States

D.H. Hoekman Netherlands

Erich Meier Switzerland

Pascale Dubois-Fernandez France

M.C. Dobson United States

Roger H. Lang United States

Leila Guerriero Italy

Thomas Jagdhuber Germany

D.G. Goodenough Canada

Kostas Papathanassiou Germany

Paul Siqueira

1.8k ×1.5

2.1k ×1.8

787 ×1.3

506 ×1.0

ECOLO

479 ×1.5

MMPL

Citations per year, relative to Paul Siqueira Paul Siqueira (= 1×) peers Kostas Papathanassiou

Countries citing papers authored by Paul Siqueira

Since Specialization

Citations

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

Fields of papers citing papers by Paul Siqueira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Siqueira

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Montpetit, Benoît, et al.. (2025). Snow Water Equivalent from airborne Ku-band data: the Trail Valley Creek 2018/19 snow experiment. The cryosphere. 19(11). 5465–5484.

Rosen, P. A., G. W. Bawden, Bruce Chapman, et al.. (2025). The NASA-ISRO SAR Mission: A summary. IEEE Geoscience and Remote Sensing Magazine. 13(2). 8–34. 1 indexed citations

Kim, Seung-Bum, Xiaolan Xu, Simon Kraatz, et al.. (2025). Soil Moisture Estimates Using L-Band Airborne SAR Over Forests Replicating NISAR Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7364–7373. 3 indexed citations

Kim, Seung-Bum, et al.. (2024). Classification of Crop Area Using PALSAR, Sentinel-1, and Planet Data for the NISAR Mission. Remote Sensing. 16(11). 1975–1975. 1 indexed citations

Montpetit, Benoît, Joshua King, Chris Derksen, et al.. (2024). Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment. The cryosphere. 18(8). 3857–3874. 5 indexed citations

Mandal, Dipankar, et al.. (2024). An Evidence Modified Gaussian Process Classifier (EM-GPC) for Crop Classification Using Dual-Polarimetric C- and L- Band SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18683–18702. 1 indexed citations

Dey, Subhadip, Narayanarao Bhogapurapu, Irena Hajnsek, Avik Bhattacharya, & Paul Siqueira. (2023). Soil permittivity estimation over vegetative fields using dual polarimetric SAR data. Remote Sensing Applications Society and Environment. 33. 101130–101130. 3 indexed citations

Kraatz, Simon, Brian T. Lamb, W. Dean Hively, et al.. (2023). Comparing NISAR (Using Sentinel-1), USDA/NASS CDL, and Ground Truth Crop/Non-Crop Areas in an Urban Agricultural Region. Sensors. 23(20). 8595–8595. 6 indexed citations

Mandal, Dipankar, et al.. (2023). Phenology-based crop classification from multi-frequency dual-pol SAR data utilizing Gaussian Processes. 1–6. 1 indexed citations

10.

Kraatz, Simon, et al.. (2022). Mapping and Scaling of In Situ Above Ground Biomass to Regional Extent With SAR in the Great Slave Region. Earth and Space Science. 9(12). 3 indexed citations

11.

Kraatz, Simon, Paul Siqueira, Josef Kellndorfer, et al.. (2022). Evaluating the Robustness of NISAR's Cropland Product to Time of Observation, Observing Mode, and Dithering. Earth and Space Science. 9(8). 4 indexed citations

12.

Rodríguez, Ernesto, et al.. (2022). A Ka-Band Wind Geophysical Model Function Using Doppler Scatterometer Measurements from the Air-Sea Interaction Tower Experiment. Remote Sensing. 14(9). 2067–2067. 5 indexed citations

13.

Kraatz, Simon, Nathan Torbick, Xianfeng Jiao, et al.. (2021). Comparison between Dense L-Band and C-Band Synthetic Aperture Radar (SAR) Time Series for Crop Area Mapping over a NISAR Calibration-Validation Site. Agronomy. 11(2). 273–273. 16 indexed citations

14.

Kraatz, Simon, et al.. (2020). Performance Evaluation of UAVSAR and Simulated NISAR Data for Crop/Noncrop Classification Over Stoneville, MS. Earth and Space Science. 8(1). e2020EA001363–e2020EA001363. 13 indexed citations

15.

Derksen, Chris, Juha Lemmetyinen, Joshua King, et al.. (2019). A Dual-Frequency Ku-Band Radar Mission Concept for Seasonal Snow. 5742–5744. 13 indexed citations

16.

Kraatz, Simon, Sobia Rose, Michael H. Cosh, & Paul Siqueira. (2019). NISAR UAVSAR AM-PM Campaign: An evaluation of UAVSAR L-Band Radar Over Agricultural and Forested Areas for Crop Identification and Biomass Estimation. AGUFM. 2019. 1 indexed citations

17.

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

18.

Hensley, Scott, Bruce Chapman, Maxim Neumann, et al.. (2011). Polarimetric interferometric studies of the harvard forest using l-band UAVSAR data repeat pass data. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–2. 1 indexed citations

19.

Hensley, S., et al.. (2003). Vegetation parameters using TOPSAR and GeoSAR sensors. ESASP. 529. 1 indexed citations

20.

Chapman, Bruce, et al.. (1998). Data Quality of the JERS-1 SAR Global Rain Forest Mapping (GRFM) Project. International Journal of Remote Sensing. 2 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.

Explore authors with similar magnitude of impact