Michael Denbina

700 total citations
38 papers, 474 citations indexed

About

Michael Denbina is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Michael Denbina has authored 38 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 14 papers in Environmental Engineering and 13 papers in Atmospheric Science. Recurrent topics in Michael Denbina's work include Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers), Remote Sensing and LiDAR Applications (12 papers) and Cryospheric studies and observations (10 papers). Michael Denbina is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers), Remote Sensing and LiDAR Applications (12 papers) and Cryospheric studies and observations (10 papers). Michael Denbina collaborates with scholars based in United States, Canada and Switzerland. Michael Denbina's co-authors include Marc Simard, Michael Collins, Ghada Atteia, Michael J. Collins, Cathleen E. Jones, Brian Hawkins, Brent Minchew, Benjamin Holt, Bryan Riel and S. Hensley and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Michael Denbina

38 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Denbina United States 13 260 185 148 105 86 38 474
Xianwen Ding China 9 101 0.4× 90 0.5× 47 0.3× 199 1.9× 117 1.4× 15 389
Antonio Reppucci Germany 5 124 0.5× 332 1.8× 287 1.9× 78 0.7× 51 0.6× 16 462
Luca Cenci Italy 11 70 0.3× 190 1.0× 165 1.1× 37 0.4× 90 1.0× 31 380
Najeebullah Kakar Pakistan 6 224 0.9× 121 0.7× 95 0.6× 43 0.4× 80 0.9× 14 382
Yilin Liu China 9 39 0.1× 108 0.6× 183 1.2× 43 0.4× 76 0.9× 34 420
Paulo Baptista Portugal 14 40 0.2× 161 0.9× 80 0.5× 155 1.5× 57 0.7× 35 614
Justin T. Brandt United States 10 167 0.6× 183 1.0× 66 0.4× 81 0.8× 103 1.2× 21 465
Lingxiao Wang China 15 81 0.3× 127 0.7× 649 4.4× 12 0.1× 121 1.4× 43 769
Yuji Sakuno Japan 9 30 0.1× 96 0.5× 49 0.3× 120 1.1× 61 0.7× 52 345

Countries citing papers authored by Michael Denbina

Since Specialization
Citations

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

Fields of papers citing papers by Michael Denbina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Denbina

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Denbina. A scholar is included among the top collaborators of Michael Denbina 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 Michael Denbina. Michael Denbina 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.
David, Cédric H., Michael Denbina, J. T. Reager, et al.. (2025). Intrinsic Spatial Scales of River Stores and Fluxes and Their Relative Contributions to the Global Water Cycle. Geophysical Research Letters. 52(4). 1 indexed citations
2.
Simard, Marc, et al.. (2024). A Global Evaluation of Radar‐Derived Digital Elevation Models: SRTM, NASADEM, and GLO‐30. Journal of Geophysical Research Biogeosciences. 129(11). 9 indexed citations
3.
Donatelli, Carmine, Xiaohe Zhang, Marc Simard, et al.. (2024). Coupling numerical models of deltaic wetlands with AirSWOT, UAVSAR, and AVIRIS-NG remote sensing data. Biogeosciences. 21(1). 241–260. 5 indexed citations
4.
Denbina, Michael, et al.. (2024). Mapping Vegetation Structure from Uavsar Tomography Using 3-D Convolutional Neural Networks. 1337–1340. 1 indexed citations
5.
Fayne, Jessica V., L. C. Smith, L. H. Pitcher, et al.. (2023). Characterizing Near-Nadir and Low Incidence Ka-Band SAR Backscatter From Wet Surfaces and Diverse Land Covers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 985–1006. 8 indexed citations
6.
Bekaert, David, et al.. (2023). Harmonizing SAR and Optical Data to Map Surface Water Extent: A Deep Learning Approach. 3349–3352. 1 indexed citations
7.
Fayne, Jessica V., L. C. Smith, L. H. Pitcher, et al.. (2020). Airborne observations of arctic-boreal water surface elevations from AirSWOT Ka-Band InSAR and LVIS LiDAR. Environmental Research Letters. 15(10). 105005–105005. 12 indexed citations
8.
Fayne, Jessica V., L. C. Smith, Marc Simard, et al.. (2020). Airborne Observations of Ka-band Radar Backscatter from AirSWOT Enable Vegetation and Water Detection. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
9.
Simard, Marc, Michael Denbina, Daniel Jensen, & Robert R. Lane. (2020). Pre-Delta-X: Water Levels across Wax Lake Outlet, Atchafalaya Basin, LA, USA, 2016. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 3 indexed citations
10.
Simard, Marc, et al.. (2020). Monitoring Water Level Change and Seasonal Vegetation Change in the Coastal Wetlands of Louisiana Using L-Band Time-Series. Remote Sensing. 12(15). 2351–2351. 25 indexed citations
11.
Denbina, Michael, et al.. (2020). Flood Mapping Using UAVSAR and Convolutional Neural Networks. 3247–3250. 12 indexed citations
12.
Simard, Marc, et al.. (2020). Orinoco: Retrieving a River Delta Network with the Fast Marching Method and Python. ISPRS International Journal of Geo-Information. 9(11). 658–658. 5 indexed citations
13.
Denbina, Michael, et al.. (2020). Pre-Delta-X: Channel Bathymetry of the Atchafalaya Basin, LA, USA, 2016. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 12 indexed citations
14.
Simard, Marc, et al.. (2019). Mapping Mangrove Extent and Canopy Height in Gabon Using Interferometric Coherence and Freeman-Durden Decomposition from L-band ALOS/PALSAR-2. AGUFM. 2019. 1 indexed citations
15.
Denbina, Michael, Marc Simard, & Brian Hawkins. (2018). Forest Height Estimation Using Multibaseline PolInSAR and Sparse Lidar Data Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10). 3415–3433. 35 indexed citations
16.
17.
Denbina, Michael & Michael Collins. (2014). Iceberg Detection Using Simulated Dual-Polarized Radarsat Constellation Data. Canadian Journal of Remote Sensing. 40(3). 165–178. 8 indexed citations
18.
Denbina, Michael & Michael Collins. (2014). Iceberg detection using analysis of the received polarization ellipse in compact polarimetry. 266–269. 1 indexed citations
19.
Denbina, Michael & Michael J. Collins. (2012). Iceberg Detection Using Compact Polarimetric Synthetic Aperture Radar. ATMOSPHERE-OCEAN. 50(4). 437–446. 27 indexed citations
20.
Zhang, Qiaoping, et al.. (2010). Extraction of DTM Beneath Forest Canopy Using a Combination of X-Band InSAR and L-Band PolInSAR Data. 1–4. 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.

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