Chris Vernon

2.0k total citations
64 papers, 1.3k citations indexed

About

Chris Vernon is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Chris Vernon has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Water Science and Technology, 25 papers in Global and Planetary Change and 16 papers in Ocean Engineering. Recurrent topics in Chris Vernon's work include Water-Energy-Food Nexus Studies (23 papers), Hydrology and Watershed Management Studies (17 papers) and Water resources management and optimization (15 papers). Chris Vernon is often cited by papers focused on Water-Energy-Food Nexus Studies (23 papers), Hydrology and Watershed Management Studies (17 papers) and Water resources management and optimization (15 papers). Chris Vernon collaborates with scholars based in United States, Saudi Arabia and China. Chris Vernon's co-authors include Mohamad Hejazi, Katherine Calvin, Min Chen, Maoyi Huang, Neal T. Graham, Zhongwei Huang, Xinya Li, Qiuhong Tang, Gokul Iyer and Yaling Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chris Vernon

62 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Vernon United States 18 621 496 283 274 143 64 1.3k
Charles Fant United States 19 409 0.7× 331 0.7× 219 0.8× 156 0.6× 126 0.9× 32 1.4k
Robert Link United States 18 478 0.8× 482 1.0× 235 0.8× 328 1.2× 119 0.8× 42 1.5k
Sylvia Tramberend Austria 13 778 1.3× 453 0.9× 451 1.6× 337 1.2× 71 0.5× 39 1.6k
Jonathan Lamontagne United States 19 849 1.4× 593 1.2× 358 1.3× 322 1.2× 60 0.4× 51 1.5k
Yongnan Zhu China 20 568 0.9× 252 0.5× 245 0.9× 387 1.4× 162 1.1× 60 1.2k
Shan Jiang China 20 644 1.0× 198 0.4× 307 1.1× 362 1.3× 177 1.2× 53 1.1k
Guohua He China 19 467 0.8× 245 0.5× 172 0.6× 259 0.9× 123 0.9× 55 970
Brent Boehlert United States 17 386 0.6× 407 0.8× 184 0.7× 103 0.4× 107 0.7× 33 1.3k
Larry Dale United States 18 656 1.1× 702 1.4× 408 1.4× 162 0.6× 79 0.6× 42 1.7k
Xiuzhi Chen China 17 378 0.6× 362 0.7× 146 0.5× 432 1.6× 126 0.9× 37 1.4k

Countries citing papers authored by Chris Vernon

Since Specialization
Citations

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

Fields of papers citing papers by Chris Vernon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Vernon

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Vernon. A scholar is included among the top collaborators of Chris Vernon 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 Chris Vernon. Chris Vernon 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.
Gurgel, Angelo, Kanishka B. Narayan, John M. Reilly, et al.. (2025). Future Spatially Explicit Patterns of Land Transitions in the United States With Multiple Stressors. Earth s Future. 13(6).
2.
Graham, Neal T., Jim Yoon, Thomas Wild, et al.. (2025). Long-term hydro-economic analysis tool for evaluating global groundwater cost and supply: Superwell v1.1. Geoscientific model development. 18(5). 1737–1767. 4 indexed citations
3.
McManamay, Ryan A., et al.. (2024). Dynamic urban land extensification is projected to lead to imbalances in the global land-carbon equilibrium. Communications Earth & Environment. 5(1). 13 indexed citations
4.
Hadjimichael, Antonia, et al.. (2024). Scenario Storyline Discovery for Planning in Multi‐Actor Human‐Natural Systems Confronting Change. Earth s Future. 12(9). 2 indexed citations
5.
Wild, Thomas, Neal T. Graham, Son H. Kim, et al.. (2024). GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model. Geoscientific model development. 17(14). 5587–5617. 3 indexed citations
6.
Mongird, Kendall, Jordan D. Kern, Konstantinos Oikonomou, et al.. (2024). Investigating the effects of cooperative transmission expansion planning on grid performance during heat waves with varying spatial scales. Applied Energy. 378. 124825–124825. 3 indexed citations
7.
Vernon, Chris, et al.. (2024). statemodify: a Python framework to facilitateaccessible exploratory modeling for discovering droughtvulnerabilities. The Journal of Open Source Software. 9(96). 6325–6325.
8.
Zhao, Xin, Maksym Chepeliev, Pralit Patel, et al.. (2024). gcamfaostat: An R package to prepare, process, andsynthesize FAOSTAT data for global agroeconomic and multisector dynamicmodeling. The Journal of Open Source Software. 9(96). 6388–6388. 5 indexed citations
9.
Abeshu, Guta Wakbulcho, Thomas Wild, Sean Turner, et al.. (2023). Enhancing the representation of water management in global hydrological models. Geoscientific model development. 16(18). 5449–5472. 10 indexed citations
10.
Yan, Hongxiang, Ning Sun, Hisham Eldardiry, et al.. (2023). Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States. Scientific Data. 10(1). 187–187. 13 indexed citations
11.
Khan, Zarrar, et al.. (2023). osiris: An R package to process climate impacts on agricultural yields for the Global Change Analysis Model. The Journal of Open Source Software. 8(85). 5226–5226. 1 indexed citations
12.
Dolan, Flannery, Jonathan Lamontagne, Katherine Calvin, et al.. (2022). Modeling the Economic and Environmental Impacts of Land Scarcity Under Deep Uncertainty. Earth s Future. 10(2). 14 indexed citations
13.
Smith, Amanda D., et al.. (2021). diyepw: A Python package for Do-It-Yourself EnergyPlus weather file generation. The Journal of Open Source Software. 6(64). 3313–3313. 12 indexed citations
14.
Turner, Sean, et al.. (2021). gamut: A Geospatial R Package to Analyze Multisectoral Urban Teleconnections. The Journal of Open Source Software. 6(66). 3383–3383. 1 indexed citations
15.
Vernon, Chris, et al.. (2021). mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model. The Journal of Open Source Software. 6(62). 3221–3221. 9 indexed citations
16.
Vernon, Chris, Jennie S. Rice, Kendall Mongird, et al.. (2021). cerf: A Python package to evaluate the feasibility and costs of power plant siting for alternative futures. The Journal of Open Source Software. 6(65). 3601–3601. 7 indexed citations
17.
Link, Robert, Thomas Wild, Abigail Snyder, Mohamad Hejazi, & Chris Vernon. (2020). 100 years of data is not enough to establish reliable drought thresholds. SHILAP Revista de lepidopterología. 7. 100052–100052. 17 indexed citations
18.
Khan, Zarrar, Thomas Wild, Chris Vernon, et al.. (2020). Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales. Journal of Open Research Software. 8(1). 10–10. 10 indexed citations
19.
Graham, Neal T., Evan Davies, Mohamad Hejazi, et al.. (2018). Water Sector Assumptions for the Shared Socioeconomic Pathways in an Integrated Modeling Framework. Water Resources Research. 54(9). 6423–6440. 42 indexed citations
20.
Vernon, Chris, et al.. (2017). Exploring Land Use and Land Cover Change and Feedbacks in the Global Change Assessment Model. AGU Fall Meeting Abstracts. 2017. 1 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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