Jason Davison

894 total citations · 1 hit paper
9 papers, 638 citations indexed

About

Jason Davison is a scholar working on Water Science and Technology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Jason Davison has authored 9 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 4 papers in Atmospheric Science and 4 papers in Environmental Engineering. Recurrent topics in Jason Davison's work include Hydrology and Watershed Management Studies (8 papers), Groundwater flow and contamination studies (3 papers) and Cryospheric studies and observations (2 papers). Jason Davison is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Groundwater flow and contamination studies (3 papers) and Cryospheric studies and observations (2 papers). Jason Davison collaborates with scholars based in United States, Canada and Germany. Jason Davison's co-authors include P. J. Restrepo, Chaopeng Shen, David Gochis, V. Y. Ivanov, David G. Tarboton, Brian A. Ebel, Benjamin B. Mirus, Matteo Camporese, Enrique R. Vivoni and Simone Fatichi and has published in prestigious journals such as Journal of Hydrology, Hydrological Processes and Advances in Water Resources.

In The Last Decade

Jason Davison

9 papers receiving 627 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

2016 456 citations Simone Fatichi, Enrique R. Vivoni et al. Journal of Hydrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Davison United States	7	504	339	291	119	66	9	638
I. M. Ferguson United States	7	412 0.8×	280 0.8×	237 0.8×	106 0.9×	93 1.4×	9	538
Conrad Jackisch Germany	15	390 0.8×	290 0.9×	282 1.0×	108 0.9×	163 2.5×	36	665
Daniel Partington Australia	17	661 1.3×	324 1.0×	440 1.5×	76 0.6×	77 1.2×	32	832
G. Carrillo United States	6	797 1.6×	626 1.8×	272 0.9×	131 1.1×	33 0.5×	8	873
Chatchai Jothityangkoon Australia	11	628 1.2×	566 1.7×	169 0.6×	134 1.1×	99 1.5×	17	820
Jingshan Yu China	14	392 0.8×	317 0.9×	170 0.6×	120 1.0×	26 0.4×	32	642
Jacob Birk Jensen Denmark	10	367 0.7×	190 0.6×	255 0.9×	50 0.4×	51 0.8×	12	515
Antonia Longobardi Italy	14	348 0.7×	619 1.8×	272 0.9×	201 1.7×	54 0.8×	50	839
Hartmut Wittenberg Germany	13	867 1.7×	590 1.7×	522 1.8×	101 0.8×	94 1.4×	19	1.0k
Olkeba Tolessa Leta United States	15	453 0.9×	359 1.1×	189 0.6×	79 0.7×	19 0.3×	33	628

Countries citing papers authored by Jason Davison

Since Specialization

Citations

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

Fields of papers citing papers by Jason Davison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Davison

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Acharya, Bharat Sharma, Yunxiang Chen, Jason Davison, et al.. (2022). Hydrological Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science. 9(4). 3 indexed citations

2.

Frey, Steven K., Andre R. Erler, Omar Khader, et al.. (2020). Investigating groundwater-lake interactions in the Laurentian Great Lakes with a fully-integrated surface water-groundwater model. Journal of Hydrology. 594. 125911–125911. 57 indexed citations

3.

Wine, Michael L. & Jason Davison. (2019). Untangling global change impacts on hydrological processes: Resisting climatization. Hydrological Processes. 33(15). 2148–2155. 28 indexed citations

4.

Sudicky, Edward A., Jason Davison, Steven K. Frey, et al.. (2019). Towards a climate-driven simulation of coupled surface-subsurface hydrology at the continental scale: a Canadian example. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 45(1). 11–27. 22 indexed citations

5.

Davison, Jason, Hyoun‐Tae Hwang, Edward A. Sudicky, Derek V. Mallia, & John C. Lin. (2017). Full Coupling Between the Atmosphere, Surface, and Subsurface for Integrated Hydrologic Simulation. Journal of Advances in Modeling Earth Systems. 10(1). 43–53. 29 indexed citations

6.

Berg, Steven J., et al.. (2017). Efficient uncertainty quantification in fully-integrated surface and subsurface hydrologic simulations. Advances in Water Resources. 111. 381–394. 17 indexed citations

7.

Fatichi, Simone, Enrique R. Vivoni, Fred L. Ogden, et al.. (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology. 537. 45–60. 456 indexed citations breakdown →

8.

Davison, Jason, Hyoun‐Tae Hwang, Edward A. Sudicky, & John C. Lin. (2015). Coupled atmospheric, land surface, and subsurface modeling: Exploring water and energy feedbacks in three-dimensions. Advances in Water Resources. 86. 73–85. 25 indexed citations

9.

Davison, Jason, et al.. (2014). Development of a fully integrated water cycle model: HydroGeoSphere-Weather Research and Forecasting (HGS-WRF). AGU Fall Meeting Abstracts. 2014. 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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