Kel Markert

1.3k citations
36 papers · 564 indexed · h-index 14

Kel Markert

33 papers receiving 533 citations

Peers

Kel Markert
Comparison fields: 5 of 76
  • Global and Planetary Change 384
  • Water Science and Technology 187
  • Environmental Engineering 162
  • Atmospheric Science 147
  • Ecology 133
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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

The 25 scholars most cited alongside Kel Markert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kel Markert Line = papers co-authored together Kel Markert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20250
4 20246
5 20245
6 20234
7 202311
8 202163
9 20206
10
Forecasting Inundation Extents using REOF analysis (FIER) over Lower Mekong Basin
20201
11 20203
12 202089
13 202028
14 20190
15
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
20190
16 20192
17
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
20181
18
A SERVIR FAO Open Source Partnership: Co-development of Open Source Web Technologies using Earth Observation for Land Cover Mapping.
20186
19
A cloud based approach to synchronize the advancements in global land cover mapping
20182
20
Application of Virtual Rain and Stream Gauge Information Service for Improved Flood Early Warning System in Lower Mekong Countries
20171

About Kel Markert

Kel Markert is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 36 papers that have together received 564 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (16 papers), Hydrology and Watershed Management Studies (12 papers), Hydrological Forecasting Using AI (6 papers), Precipitation Measurement and Analysis (5 papers), Hydrology and Drought Analysis (5 papers), Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Global and Planetary Change (384 citations), Water Science and Technology (187 citations) and Environmental Engineering (162 citations). Kel Markert has collaborated with scholars based in United States, Thailand and Vietnam. Frequent co-authors include David Saah, Farrukh Chishtie, Eric Anderson, Ate Poortinga, Robert Griffin, Biplov Bhandari, Amanda Markert, Nicholas Clinton, Ashutosh Limaye and Timothy Mayer. Their work appears in journals such as Remote Sensing, Environmental Modelling & Software, Frontiers in Environmental Science, Hydrological Sciences Journal and Water Resources Research.

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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