James Knighton

1.1k total citations
44 papers, 721 citations indexed

About

James Knighton is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, James Knighton has authored 44 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 14 papers in Atmospheric Science. Recurrent topics in James Knighton's work include Hydrology and Watershed Management Studies (22 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Flood Risk Assessment and Management (11 papers). James Knighton is often cited by papers focused on Hydrology and Watershed Management Studies (22 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Flood Risk Assessment and Management (11 papers). James Knighton collaborates with scholars based in United States, United Kingdom and Netherlands. James Knighton's co-authors include M. Todd Walter, Jaivime Evaristo, Eric White, L. A. Bastidas, Martin J. Wassen, Scott Steinschneider, Rebecca Elliott, Sylvain Kuppel, Li Wang and Ying Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Resources Research and Geophysical Research Letters.

In The Last Decade

James Knighton

41 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Knighton United States 17 491 330 222 146 93 44 721
Aleix Serrat‐Capdevila United States 13 588 1.2× 461 1.4× 261 1.2× 191 1.3× 95 1.0× 29 885
Sarah Praskievicz United States 13 437 0.9× 475 1.4× 197 0.9× 182 1.2× 113 1.2× 36 782
Sumit Sen India 17 418 0.9× 454 1.4× 184 0.8× 241 1.7× 88 0.9× 64 904
Zexi Shen China 16 563 1.1× 186 0.6× 287 1.3× 124 0.8× 93 1.0× 22 790
Willem van Verseveld Netherlands 15 323 0.7× 392 1.2× 181 0.8× 139 1.0× 131 1.4× 26 652
Bertel Vehviläinen Finland 15 424 0.9× 454 1.4× 275 1.2× 97 0.7× 132 1.4× 38 840
Liyuan Sang China 13 332 0.7× 190 0.6× 124 0.6× 153 1.0× 95 1.0× 29 629
Lin Sun China 20 520 1.1× 423 1.3× 460 2.1× 102 0.7× 175 1.9× 45 976
Pavla Pekárová Slovakia 17 443 0.9× 487 1.5× 112 0.5× 187 1.3× 114 1.2× 77 820

Countries citing papers authored by James Knighton

Since Specialization
Citations

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

Fields of papers citing papers by James Knighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Knighton

This figure shows the co-authorship network connecting the top 25 collaborators of James Knighton. A scholar is included among the top collaborators of James Knighton 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 James Knighton. James Knighton 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.
Sprenger, Matthias, Stefan Seeger, Max Berkelhammer, et al.. (2025). Opportunistic Short‐Term Water Uptake Dynamics by Subalpine Trees Observed via In Situ Water Isotope Measurements. Water Resources Research. 61(8).
2.
Knighton, James, et al.. (2024). How you teach changes who you reach: understanding the effect of teaching modality on engagement, interest, and learning in hydrology. Journal of Geography in Higher Education. 48(5). 798–819.
3.
Elliott, Rebecca, et al.. (2024). Differential flood insurance participation and housing market trajectories under future coastal flooding in the United States. Communications Earth & Environment. 5(1). 1 indexed citations
4.
5.
Schultz, Eric T., et al.. (2023). Forecasting hydrologic controls on juvenile anadromous fish out-migration with process-based modeling and machine learning. Journal of Environmental Management. 344. 118420–118420. 2 indexed citations
6.
Dietz, Michael E., et al.. (2023). Potential Hydrologic Pathways of Deicing Salt Chloride Transport Evaluated with SWMM. Journal of Hydrologic Engineering. 28(8). 2 indexed citations
7.
Knighton, James & Wouter R. Berghuijs. (2023). Water Ages Explain Tradeoffs Between Long‐Term Evapotranspiration and Ecosystem Drought Resilience. Geophysical Research Letters. 50(10). 10 indexed citations
8.
Elliott, Rebecca, et al.. (2023). Housing market dynamics of the post-Sandy Hudson estuary, Long Island Sound, and New Jersey coastline are explained by NFIP participation. Environmental Research Letters. 18(9). 94009–94009. 4 indexed citations
9.
Kuppel, Sylvain, et al.. (2022). Parameterizing Vegetation Traits With a Process‐Based Ecohydrological Model and Xylem Water Isotopic Observations. Journal of Advances in Modeling Earth Systems. 15(1). 8 indexed citations
10.
Knighton, James, et al.. (2021). Flood risk behaviors of United States riverine metropolitan areas are driven by local hydrology and shaped by race. Proceedings of the National Academy of Sciences. 118(13). 30 indexed citations
11.
Knighton, James, Evan C. Fricke, Jaivime Evaristo, Hugo J. de Boer, & Martin J. Wassen. (2021). Phylogenetic Underpinning of Groundwater Use by Trees. Geophysical Research Letters. 48(18). 20 indexed citations
12.
Knighton, James, Varsha Vijay, & Margaret A. Palmer. (2020). Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss. Environmental Research Letters. 15(10). 104051–104051. 17 indexed citations
13.
Knighton, James, Sylvain Kuppel, Aaron Smith, et al.. (2020). Using isotopes to incorporate tree water storage and mixing dynamics into a distributed ecohydrologic modelling framework. Ecohydrology. 13(3). 72 indexed citations
14.
Knighton, James, et al.. (2020). Hammond Hill Research Catchment: Supporting hydrologic investigations of rooting zone and vegetation water dynamics under climate change. Hydrological Processes. 34(24). 4755–4758. 1 indexed citations
15.
Knighton, James, et al.. (2019). Possible Increases in Flood Frequency Due to the Loss of Eastern Hemlock in the Northeastern United States: Observational Insights and Predicted Impacts. Water Resources Research. 55(7). 5342–5359. 23 indexed citations
16.
Knighton, James, Till H. M. Volkmann, P. A. Troch, et al.. (2019). Seasonal and Topographic Variations in Ecohydrological Separation Within a Small, Temperate, Snow‐Influenced Catchment. Water Resources Research. 55(8). 6417–6435. 38 indexed citations
17.
18.
Knighton, James, Osamu Tsuda, Rebecca Elliott, & M. Todd Walter. (2018). Challenges to implementing bottom-up flood risk decision analysis frameworks: how strong are social networks of flooding professionals?. Hydrology and earth system sciences. 22(11). 5657–5673. 13 indexed citations
19.
Knighton, James, et al.. (2017). Ecohydrologic considerations for modeling of stable water isotopes in a small intermittent watershed. Hydrological Processes. 31(13). 2438–2452. 43 indexed citations
20.
Knighton, James, Scott Steinschneider, & M. Todd Walter. (2017). A Vulnerability‐Based, Bottom‐up Assessment of Future Riverine Flood Risk Using a Modified Peaks‐Over‐Threshold Approach and a Physically Based Hydrologic Model. Water Resources Research. 53(12). 10043–10064. 40 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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