L.W. Vail

1.8k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

L.W. Vail is a scholar working on Water Science and Technology, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, L.W. Vail has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 7 papers in Environmental Engineering and 6 papers in Ocean Engineering. Recurrent topics in L.W. Vail's work include Hydrology and Watershed Management Studies (6 papers), Groundwater flow and contamination studies (6 papers) and Soil and Water Nutrient Dynamics (3 papers). L.W. Vail is often cited by papers focused on Hydrology and Watershed Management Studies (6 papers), Groundwater flow and contamination studies (6 papers) and Soil and Water Nutrient Dynamics (3 papers). L.W. Vail collaborates with scholars based in United States and Russia. L.W. Vail's co-authors include Mark S. Wigmosta, Dennis P. Lettenmaier, Daniel Epstein, Raghavan Srinivasan, David Wang, Norman J. Rosenberg, Jeffrey G. Arnold, L. Ruby Leung, S. J. Ghan and E.A. Jenne and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Climatic Change.

In The Last Decade

L.W. Vail

16 papers receiving 1.2k citations

Hit Papers

A distributed hydrology‐vegetation model for complex terrain 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.W. Vail United States 7 994 796 464 281 186 18 1.4k
Mike Bonell United Kingdom 21 955 1.0× 842 1.1× 309 0.7× 294 1.0× 269 1.4× 38 1.5k
Wossenu Abtew United States 21 566 0.6× 850 1.1× 250 0.5× 230 0.8× 210 1.1× 39 1.3k
David I. Stannard United States 18 479 0.5× 1.1k 1.4× 369 0.8× 328 1.2× 190 1.0× 31 1.3k
Younes Alila Canada 27 1.2k 1.2× 975 1.2× 643 1.4× 276 1.0× 446 2.4× 54 1.9k
Mark S. Zion United States 17 905 0.9× 638 0.8× 320 0.7× 266 0.9× 145 0.8× 30 1.3k
H. Vernon Knapp United States 11 808 0.8× 544 0.7× 160 0.3× 341 1.2× 215 1.2× 55 1.1k
J. Gurtz Switzerland 19 1.4k 1.4× 1.3k 1.6× 980 2.1× 277 1.0× 100 0.5× 25 1.9k
CARLOS TUCCI Brazil 17 1.1k 1.1× 907 1.1× 203 0.4× 329 1.2× 247 1.3× 65 1.5k
Christian Leibundgut Germany 15 745 0.7× 463 0.6× 236 0.5× 428 1.5× 181 1.0× 22 1.1k
Michael L. Anderson United States 15 726 0.7× 530 0.7× 224 0.5× 229 0.8× 214 1.2× 31 1.1k

Countries citing papers authored by L.W. Vail

Since Specialization
Citations

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

Fields of papers citing papers by L.W. Vail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.W. Vail. 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 L.W. Vail. The network helps show where L.W. Vail may publish in the future.

Co-authorship network of co-authors of L.W. Vail

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

All Works

18 of 18 papers shown
1.
Coleman, André M. & L.W. Vail. (2007). An Adaptive Multi-Scale Watershed Characterization Approach Utilizing Geoinformatics and Self-Organizing Maps. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
2.
Lettenmaier, Dennis P., et al.. (2005). Sensitivity of Pacific Northwest Water Resources to Global Warming. 11 indexed citations
3.
Scott, Michael J., L.W. Vail, Claudio O. Stöckle, & Armen R. Kemanian. (2004). Climate Change and Adaptation in Irrigated Agriculture-A Case Study of the Yakima River. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
4.
Scott, Michael J., et al.. (2004). WATER EXCHANGES: TOOLS TO BEAT EL NIÑO CLIMATE VARIABILITY IN IRRIGATED AGRICULTURE1. JAWRA Journal of the American Water Resources Association. 40(1). 15–31. 8 indexed citations
5.
Leung, L. Ruby, et al.. (2002). NUMERICAL SIMULATION EXPERIMENTS BY NESTING HYDROLOGY MODEL DHSVM WITH REGIONAL CLIMATE MODEL RegCM2/CHINA. 气象学报:英文版. 509–518. 5 indexed citations
6.
Skaggs, Richard L., Larry W. Mays, & L.W. Vail. (2001). APPLICATION OF ENHANCED ANNEALING TO GROUND WATER REMEDIATION DESIGN1. JAWRA Journal of the American Water Resources Association. 37(4). 867–875. 2 indexed citations
7.
Skaggs, Richard L., Larry W. Mays, & L.W. Vail. (2001). SIMULATED ANNEALING WITH MEMORY AND DIRECTIONAL SEARCH FOR GROUND WATER REMEDIATION DESIGN1. JAWRA Journal of the American Water Resources Association. 37(4). 853–866. 4 indexed citations
8.
Rosenberg, Norman J., Daniel Epstein, David Wang, et al.. (1999). Possible Impacts of Global Warming on the Hydrology of the Ogallala Aquifer Region. Climatic Change. 42(4). 677–692. 147 indexed citations
9.
Geist, David R., L.W. Vail, & Daniel Epstein. (1996). Analysis of potential impacts to resident fish from Columbia River System Operation alternatives. Environmental Management. 20(2). 275–288. 4 indexed citations
10.
Leung, L. Ruby, Mark S. Wigmosta, S. J. Ghan, Daniel Epstein, & L.W. Vail. (1996). Application of a subgrid orographic precipitation/surface hydrology scheme to a mountain watershed. Journal of Geophysical Research Atmospheres. 101(D8). 12803–12817. 58 indexed citations
11.
Wigmosta, Mark S., L.W. Vail, & Dennis P. Lettenmaier. (1996). Reply [to “Comment on ‘A Distributed Hydrology‐Vegetation Model for Complex Terrain’ by Mark S. Wigmosta, Lance W. Vail, and Dennis P. Lettenmaier”]. Water Resources Research. 32(1). 213–214. 1 indexed citations
12.
Wigmosta, Mark S., L.W. Vail, & Dennis P. Lettenmaier. (1994). A distributed hydrology‐vegetation model for complex terrain. Water Resources Research. 30(6). 1665–1679. 1075 indexed citations breakdown →
13.
Eary, L. E., E.A. Jenne, & L.W. Vail. (1994). Simulating acidification and recovery processes in experimental catchments with the ILWAS model. Water Air & Soil Pollution. 74(1-2). 29–63. 1 indexed citations
14.
Vail, L.W., E.A. Jenne, & L. E. Eary. (1992). H20TREAT: An Aid for Evaluating Water Treatment Requirements for Aquifer Thermal Energy Storage. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
15.
Eary, L. E., E.A. Jenne, L.W. Vail, & D.C. Girvin. (1991). Recovery of the highly acidified Clearwater Lake watershed, Ontario, Canada, simulated with the ILWAS model. Applied Geochemistry. 6(6). 613–634. 2 indexed citations
16.
Eary, L. E., E.A. Jenne, L.W. Vail, & D.C. Girvin. (1989). Numerical models for predicting watershed acidification. Archives of Environmental Contamination and Toxicology. 18(1-2). 29–53. 23 indexed citations
17.
Shafer, John M. & L.W. Vail. (1987). Screening Method for Contaminant Plume Control. Journal of Water Resources Planning and Management. 113(3). 336–352. 7 indexed citations
18.
Vail, L.W., et al.. (1983). A simple areal flow model: a screening tool for managing aquifer thermal energy storage systems. 530–535.

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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