E. Podest

2.0k total citations
50 papers, 1.2k citations indexed

About

E. Podest is a scholar working on Atmospheric Science, Environmental Engineering and Ecology. According to data from OpenAlex, E. Podest has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 23 papers in Environmental Engineering and 16 papers in Ecology. Recurrent topics in E. Podest's work include Soil Moisture and Remote Sensing (20 papers), Climate change and permafrost (18 papers) and Cryospheric studies and observations (12 papers). E. Podest is often cited by papers focused on Soil Moisture and Remote Sensing (20 papers), Climate change and permafrost (18 papers) and Cryospheric studies and observations (12 papers). E. Podest collaborates with scholars based in United States, Germany and Brazil. E. Podest's co-authors include K. C. McDonald, T. J. Bohn, Nereida Rodriguez-Alvarez, S. S. Saatchi, Dennis P. Lettenmaier, Katherine Jensen, Kyle C. McDonald, Huilin Gao, R. Schroeder and Mahta Moghaddam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

E. Podest

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Podest United States 17 551 524 474 387 184 50 1.2k
M. Clerici Italy 15 289 0.5× 310 0.6× 733 1.5× 511 1.3× 108 0.6× 31 1.2k
Svetlana Y. Kotchenova United States 6 374 0.7× 481 0.9× 782 1.6× 580 1.5× 199 1.1× 7 1.2k
L. A. Jones United States 25 977 1.8× 1.2k 2.2× 985 2.1× 475 1.2× 91 0.5× 38 2.0k
H. Karszenbaum Argentina 15 367 0.7× 214 0.4× 375 0.8× 341 0.9× 131 0.7× 60 812
Youngwook Kim United States 22 660 1.2× 1.3k 2.5× 589 1.2× 435 1.1× 32 0.2× 49 1.9k
Qi Gao Spain 9 563 1.0× 406 0.8× 224 0.5× 237 0.6× 182 1.0× 31 893
Mariëtte Vreugdenhil Austria 21 1.2k 2.2× 923 1.8× 452 1.0× 388 1.0× 171 0.9× 58 1.7k
Charon Birkett United States 15 452 0.8× 326 0.6× 1.4k 3.0× 496 1.3× 100 0.5× 24 1.9k
F. Timouk France 19 391 0.7× 506 1.0× 686 1.4× 203 0.5× 72 0.4× 24 1.2k
Malcolm Taberner Italy 21 446 0.8× 360 0.7× 940 2.0× 839 2.2× 42 0.2× 35 1.4k

Countries citing papers authored by E. Podest

Since Specialization
Citations

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

Fields of papers citing papers by E. Podest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of E. Podest. A scholar is included among the top collaborators of E. Podest 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. Podest. E. Podest 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.
McDonald, Kyle, et al.. (2024). NISAR: Seeing Beyond the Trees to Understand Wetlands, Forests and Biodiversity. 6775–6778. 3 indexed citations
2.
Wang, Chao, Tamlin M. Pavelsky, Ethan D. Kyzivat, et al.. (2023). Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta. Remote Sensing of Environment. 294. 113646–113646. 18 indexed citations
3.
Podest, E., et al.. (2023). Mapping Invasive Herbaceous Plant Species with Sentinel-2 Satellite Imagery: Echium plantagineum in a Mediterranean Shrubland as a Case Study. SHILAP Revista de lepidopterología. 3(2). 328–344. 5 indexed citations
4.
Prados, A. I., et al.. (2021). Best Practices In Multilanguage Satellite Remote Sensing Training: Case Studies In Spanish-Speaking Countries [Education]. IEEE Geoscience and Remote Sensing Magazine. 9(2). 105–111. 1 indexed citations
5.
Prados, A. I., et al.. (2019). Impact of the ARSET Program on Use of Remote-Sensing Data. ISPRS International Journal of Geo-Information. 8(6). 261–261. 14 indexed citations
6.
Rodriguez-Alvarez, Nereida, Sidharth Misra, E. Podest, Mary Morris, & Xavier Bosch-Lluis. (2019). The Use of SMAP-Reflectometry in Science Applications: Calibration and Capabilities. Remote Sensing. 11(20). 2442–2442. 28 indexed citations
7.
Zuffada, Cinzia, Clara Chew, S. V. Nghiem, et al.. (2016). Advancing Wetlands Mapping and Monitoring with GNSS Reflectometry. 740. 83. 12 indexed citations
8.
Moghaddam, Mahta, et al.. (2014). Wetland Maps of Central Canada based on L-band SAR Imagery. 2014 AGU Fall Meeting. 2013. 1 indexed citations
9.
Bateni, Sayed M., S. A. Margulis, E. Podest, & Kyle McDonald. (2014). Characterizing Snowpack and the Freeze–Thaw State of Underlying Soil via Assimilation of Multifrequency Passive/Active Microwave Data: A Case Study (NASA CLPX 2003). IEEE Transactions on Geoscience and Remote Sensing. 53(1). 173–189. 10 indexed citations
10.
Bohn, T. J., E. Podest, R. Schroeder, et al.. (2013). The effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland. 3 indexed citations
11.
Bohn, T. J., E. Podest, R. Schroeder, et al.. (2013). Modeling the large-scale effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland. Biogeosciences. 10(10). 6559–6576. 28 indexed citations
12.
Bohn, T. J., М. В. Глаголев, R. Schroeder, et al.. (2012). Bracketing the range of lake and wetland methane emissions rates in West Siberia using models, in situ observations, and remote sensing. EGU General Assembly Conference Abstracts. 6622.
13.
Moghaddam, Mahta, et al.. (2011). Progress on SAR-Based Mapping and Change Detection for Boreal Wetlands of North America. AGUFM. 2011. 1 indexed citations
14.
Bowling, L. C., E. Podest, T. J. Bohn, et al.. (2009). An integrated approach for estimation of methane emissions from wetlands and lakes in high latitude regions. EGUGA. 6449. 1 indexed citations
15.
Moghaddam, Mahta, et al.. (2009). Decadal Change Characterization in Northern Wetlands Based on Analysis of L-band SAR Satellite Data. AGUFM. 2009. 1 indexed citations
16.
Moghaddam, Mahta, et al.. (2009). Mapping Canadian wetlands using L-band radar satellite imagery S. 45. II–1032. 4 indexed citations
17.
Moghaddam, Mahta, et al.. (2008). Decadal Change in Northern Wetlands Based on Analysis of ALOS/PALSAR and JERS SAR Data. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
18.
Podest, E., K. C. McDonald, T. J. Bohn, & Dennis P. Lettenmaier. (2006). Mapping Boreal Wetlands Using Spaceborne Synthetic Aperture Radar. AGU Fall Meeting Abstracts. 2006. 2 indexed citations
19.
Podest, E., Kyle C. McDonald, John S. Kimball, & James T. Randerson. (2003). Satellite remote sensing of landscape freeze/thaw state dynamics for complex Topography and Fire Disturbance Areas Using multi-sensor radar and SRTM digital elevation models. 2003. 1 indexed citations
20.
Podest, E., K. C. McDonald, & John S. Kimball. (2002). An investigation of multi-sensor radar backscatter sensistivity to spring thaw dynamics with respect to landscape complexity. AGU Fall Meeting Abstracts. 2002. 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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