Kel Markert

1.3k citations
36 papers · 590 · h-index 15

Impact in

Papers in

Kel Markert

33 papers receiving 570 citations

Peers

Kel Markert
Comparison fields: 5 of 77
  • Global and Planetary Change 400
  • Water Science and Technology 188
  • Environmental Engineering 165
  • Atmospheric Science 149
  • Ecology 135
Replace A Mcintyre with:
A Mcintyre Australia
Ziyan Ling China
Alex Ip Australia
Hui‐Chung Yeh Taiwan
Xiaoqing Wu China
Fajar Yulianto Indonesia
Dongbo Zhou China
Lori A. Schultz United States
Biplov Bhandari United States
Josh Sixsmith Australia
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Citations per field
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Citations per year

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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 202171
3 201870
4 201850
5 201945
6 201839
7 202029
8 202021
9 202020
10 202119
11 202318
12 202217
13 201916
14 201915
15 202314
16 20247
17 20207
18
A SERVIR FAO Open Source Partnership: Co-development of Open Source Web Technologies using Earth Observation for Land Cover Mapping.
20186
19 20245
20 20245

About Kel Markert

Kel Markert is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science and Ecology, having authored 36 papers that have together received 590 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), Groundwater and Watershed Analysis (3 papers), Remote Sensing in Agriculture (3 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Global and Planetary Change (400 citations), Water Science and Technology (188 citations), Environmental Engineering (165 citations), Atmospheric Science (149 citations) and Ecology (135 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, Nicholas Clinton, Amanda Markert, Ashutosh Limaye and Peeranan Towashiraporn. Their work appears in journals such as Remote Sensing, Environmental Modelling & Software, Frontiers in Environmental Science, Hydrological Sciences Journal and Water.

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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