David Ketchum

474 total citations
9 papers, 120 citations indexed

About

David Ketchum is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, David Ketchum has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 3 papers in Ecology. Recurrent topics in David Ketchum's work include Hydrology and Watershed Management Studies (6 papers), Water resources management and optimization (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). David Ketchum is often cited by papers focused on Hydrology and Watershed Management Studies (6 papers), Water resources management and optimization (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). David Ketchum collaborates with scholars based in United States, United Kingdom and China. David Ketchum's co-authors include Kelsey Jencso, Justin Huntington, Marco Maneta, Matthew Jones, Forrest Melton, Zachary Hoylman, Justin Huntington, Douglas Brinkerhoff, G. B. Senay and Ryan R. Morrison and has published in prestigious journals such as Water Resources Research, Agriculture Ecosystems & Environment and Remote Sensing.

In The Last Decade

David Ketchum

8 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ketchum United States 6 65 53 47 35 23 9 120
Xiaolong Liu China 9 125 1.9× 87 1.6× 25 0.5× 32 0.9× 15 0.7× 22 195
Wiwiana Szalińska Poland 9 115 1.8× 84 1.6× 13 0.3× 24 0.7× 18 0.8× 18 176
Inger Andersen Switzerland 4 74 1.1× 42 0.8× 36 0.8× 14 0.4× 15 0.7× 7 135
Yeshu Sharma India 3 95 1.5× 37 0.7× 33 0.7× 20 0.6× 7 0.3× 3 138
Nunung Puji Nugroho Indonesia 6 71 1.1× 24 0.5× 38 0.8× 37 1.1× 9 0.4× 19 136
Guiomar Ruiz-Pérez Sweden 7 109 1.7× 65 1.2× 30 0.6× 26 0.7× 5 0.2× 9 151
Alberto Guzman United States 2 86 1.3× 29 0.5× 21 0.4× 14 0.4× 18 0.8× 2 101
Cuiping Yang China 5 296 4.6× 96 1.8× 19 0.4× 26 0.7× 13 0.6× 11 338
Dagmawi Asfaw United Kingdom 7 205 3.2× 73 1.4× 11 0.2× 36 1.0× 18 0.8× 11 260
Saswata Nandi India 9 150 2.3× 95 1.8× 12 0.3× 66 1.9× 23 1.0× 18 218

Countries citing papers authored by David Ketchum

Since Specialization
Citations

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

Fields of papers citing papers by David Ketchum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ketchum

This figure shows the co-authorship network connecting the top 25 collaborators of David Ketchum. A scholar is included among the top collaborators of David Ketchum 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 David Ketchum. David Ketchum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ballantyne, Ashley P., Jon Graham, Zachary A. Holden, et al.. (2025). An ecosystem resilience index that integrates measures of vegetation function, structure, and composition. Ecological Indicators. 171. 113076–113076. 3 indexed citations
2.
Du, Jinyang, John S. Kimball, Kelsey Jencso, et al.. (2024). Machine‐Learning Based Multi‐Layer Soil Moisture Forecasts—An Application Case Study of the Montana 2017 Flash Drought. Water Resources Research. 60(10). 6 indexed citations
3.
Ketchum, David, Zachary Hoylman, Douglas Brinkerhoff, et al.. (2024). Irrigation response to drought in the Western United States, 1987–2021. JAWRA Journal of the American Water Resources Association. 60(2). 603–619. 2 indexed citations
4.
Donnelly, John, John S. Kimball, Johnnie N. Moore, et al.. (2024). Beneficial ‘inefficiencies’ of western ranching: Flood-irrigated hay production sustains wetland systems by mimicking historic hydrologic processes. Agriculture Ecosystems & Environment. 370. 109051–109051. 8 indexed citations
5.
Hoylman, Zachary, Zachary A. Holden, R. Kyle Bocinsky, et al.. (2024). Optimizing Drought Assessment for Soil Moisture Deficits. Water Resources Research. 60(6). 7 indexed citations
6.
Ketchum, David, Zachary Hoylman, Justin Huntington, Douglas Brinkerhoff, & Kelsey Jencso. (2023). Irrigation intensification impacts sustainability of streamflow in the Western United States. Communications Earth & Environment. 4(1). 27 indexed citations
7.
Morrison, Ryan R., et al.. (2020). Relationships between riparian evapotranspiration and groundwater depth along a semiarid irrigated river valley. Hydrological Processes. 34(8). 1714–1727. 16 indexed citations
8.
Ketchum, David, Kelsey Jencso, Marco Maneta, et al.. (2020). IrrMapper: A Machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S.. Remote Sensing. 12(14). 2328–2328. 51 indexed citations
9.

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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