Kel Markert

1.3k total citations
36 papers, 564 citations indexed

About

Kel Markert is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Kel Markert has authored 36 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 14 papers in Water Science and Technology and 13 papers in Environmental Engineering. Recurrent topics in Kel Markert's work include Flood Risk Assessment and Management (16 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrological Forecasting Using AI (6 papers). Kel Markert is often cited by papers focused on Flood Risk Assessment and Management (16 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrological Forecasting Using AI (6 papers). Kel Markert collaborates with scholars based in United States, Thailand and Vietnam. Kel Markert's co-authors include David Saah, Farrukh Chishtie, Eric Anderson, Ate Poortinga, Robert Griffin, Biplov Bhandari, Nicholas Clinton, Amanda Markert, Ashutosh Limaye and Timothy Mayer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Kel Markert

33 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kel Markert United States 14 384 187 162 147 133 36 564
A Mcintyre Australia 5 369 1.0× 191 1.0× 161 1.0× 70 0.5× 223 1.7× 6 535
Dongbo Zhou China 9 411 1.1× 155 0.8× 203 1.3× 127 0.9× 177 1.3× 29 711
Yuanmiao Gui China 6 498 1.3× 207 1.1× 236 1.5× 126 0.9× 207 1.6× 8 675
Prasun Kumar Gupta India 14 380 1.0× 205 1.1× 225 1.4× 132 0.9× 131 1.0× 44 644
Ditiro B. Moalafhi Botswana 14 493 1.3× 147 0.8× 105 0.6× 188 1.3× 73 0.5× 29 646
Hui‐Chung Yeh Taiwan 10 250 0.7× 183 1.0× 168 1.0× 149 1.0× 167 1.3× 23 528
Alex Ip Australia 4 347 0.9× 183 1.0× 146 0.9× 62 0.4× 196 1.5× 9 506
Lori A. Schultz United States 9 634 1.7× 161 0.9× 309 1.9× 292 2.0× 146 1.1× 26 919
Biplov Bhandari United States 10 288 0.8× 102 0.5× 147 0.9× 101 0.7× 156 1.2× 19 438
Yuyue Xu China 14 322 0.8× 200 1.1× 111 0.7× 100 0.7× 99 0.7× 28 570

Countries citing papers authored by Kel Markert

Since Specialization
Citations

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

Fields of papers citing papers by Kel Markert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kel Markert

This figure shows the co-authorship network connecting the top 25 collaborators of Kel Markert. A scholar is included among the top collaborators of Kel Markert 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 Kel Markert. Kel Markert 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.
Lee, Hyongki, Chi‐Hung Chang, Kel Markert, et al.. (2025). An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis. Environmental Modelling & Software. 192. 106562–106562. 2 indexed citations
2.
Lee, Hyongki, Chi‐Hung Chang, Duong Du Bui, et al.. (2025). Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models. Water Resources Research. 61(3). 2 indexed citations
3.
Markert, Kel, Gustavious P. Williams, E. James Nelson, et al.. (2024). Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling. Remote Sensing. 16(7). 1262–1262. 6 indexed citations
4.
Markert, Kel, et al.. (2024). Design and implementation of a BigQuery dataset and application programmer interface (API) for the U.S. National Water Model. Environmental Modelling & Software. 179. 106123–106123. 5 indexed citations
5.
Bhandari, Biplov, Kel Markert, Vikalp Mishra, Amanda Markert, & Robert Griffin. (2023). Investigation of Data-Driven Rating Curve (DDRC) Approach. Water. 15(3). 604–604. 4 indexed citations
6.
Williams, Gustavious P., et al.. (2023). LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools. Remote Sensing. 15(6). 1670–1670. 11 indexed citations
7.
Mayer, Timothy, Ate Poortinga, Biplov Bhandari, et al.. (2021). Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine. SHILAP Revista de lepidopterología. 2. 100005–100005. 63 indexed citations
8.
Bui, Duong Du, et al.. (2020). Forecasting Inundation Extents using REOF analysis (FIER) over Lower Mekong Basin. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
9.
Markert, Kel, W. L. Ellenburg, Eric Anderson, et al.. (2020). Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance. Remote Sensing. 12(18). 3031–3031. 6 indexed citations
10.
Markert, Kel, Amanda Markert, Timothy Mayer, et al.. (2020). Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine. Remote Sensing. 12(15). 2469–2469. 89 indexed citations
11.
12.
Markert, Kel, et al.. (2019). Water Quality Monitoring of In-Land Lakes in East Africa: How Open Source Tethys and Google Earth Engine Platforms are Improving Water Quality Data Analysis, Visualization and Decision Making. AGU Fall Meeting Abstracts. 2019.
13.
14.
Markert, Kel. (2019). cartoee: Publication quality maps using Earth Engine. The Journal of Open Source Software. 4(33). 1207–1207. 2 indexed citations
15.
Markert, Kel, et al.. (2019). AltEx: An open source web application and toolkit for accessing and exploring altimetry datasets. Environmental Modelling & Software. 117. 164–175. 16 indexed citations
16.
Tenneson, Karis, Matthew Patterson, Erik Lindquist, et al.. (2018). A cloud based approach to synchronize the advancements in global land cover mapping. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
17.
Patterson, Matthew, Karis Tenneson, Emil Cherrington, et al.. (2018). Documenting and Distributing a Regional Land Cover Monitoring System using Free Data and Cloud-based Computing Infrastructure in the Lower Mekong Countries in Southeast Asia. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
18.
Markert, Kel, Erik Lindquist, Alfonso Sánchez-Paus Díaz, et al.. (2018). A SERVIR FAO Open Source Partnership: Co-development of Open Source Web Technologies using Earth Observation for Land Cover Mapping.. AGU Fall Meeting Abstracts. 2018. 6 indexed citations
19.
Jayasinghe, Shantha Gamini, et al.. (2017). Application of Virtual Rain and Stream Gauge Information Service for Improved Flood Early Warning System in Lower Mekong Countries. AGUFM. 2017. 1 indexed citations
20.
Saah, David, Karis Tenneson, Aekkapol Aekakkararungroj, et al.. (2016). Regional Land Cover Monitoring System. NASA STI Repository (National Aeronautics and Space Administration). 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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2026