Tim Wilson

1.3k total citations
18 papers, 1.0k citations indexed

About

Tim Wilson is a scholar working on Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Tim Wilson has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 5 papers in Environmental Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Tim Wilson's work include Plant Water Relations and Carbon Dynamics (10 papers), Climate variability and models (4 papers) and Soil and Unsaturated Flow (4 papers). Tim Wilson is often cited by papers focused on Plant Water Relations and Carbon Dynamics (10 papers), Climate variability and models (4 papers) and Soil and Unsaturated Flow (4 papers). Tim Wilson collaborates with scholars based in United States and Germany. Tim Wilson's co-authors include John M. Norman, T. P. Meyers, Tilden P. Meyers, John Kochendorfer, Ronald D. Leeper, Howard J. Diamond, Jesse E. Bell, Martha C. Anderson, Michael A. Palecki and C. Bruce Baker and has published in prestigious journals such as Agricultural and Forest Meteorology, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Journal of Hydrometeorology.

In The Last Decade

Tim Wilson

17 papers receiving 957 citations

Peers

Tim Wilson

GPC

EE

AS

RNMI

BE

C. Moore United Kingdom

Javier González Spain

Muriel Amielh France

Marko Princevac United States

Leonardo Ermini Italy

V. Clausnitzer United States

Dimitrios Panagiotidis Czechia

C. Gurney United Kingdom

Andrew D. Richardson United States

Helmut Rogasik Germany

C. Moore United Kingdom

Tim Wilson

1.0k ×2.1

GPC

233 ×0.6

EE

478 ×1.5

AS

148 ×0.8

RNMI

69 ×0.4

BE

Citations per year, relative to Tim Wilson Tim Wilson (= 1×) peers C. Moore

Countries citing papers authored by Tim Wilson

Since Specialization

Citations

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

Fields of papers citing papers by Tim Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Wilson

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

All Works

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18 of 18 papers shown

1.

Lee, Temple R., Sandip Pal, P. Krishnan, et al.. (2024). On the application of the hockey-stick transition hypothesis to characterize turbulence within and above a deciduous forest. Agricultural and Forest Meteorology. 362. 110342–110342. 2 indexed citations

2.

Lee, Temple R., Sandip Pal, Ronald D. Leeper, et al.. (2024). On the Importance of Regime-Specific Evaluations for Numerical Weather Prediction Models as Demonstrated Using the High-Resolution Rapid Refresh (HRRR) Model. Weather and Forecasting. 39(5). 781–791. 7 indexed citations

3.

Lee, Temple R., Ronald D. Leeper, Tim Wilson, et al.. (2023). Using the U.S. Climate Reference Network to Identify Biases in Near- and Subsurface Meteorological Fields in the High-Resolution Rapid Refresh (HRRR) Weather Prediction Model. Weather and Forecasting. 38(6). 879–900. 8 indexed citations

4.

Bell, Jesse E., et al.. (2015). Evaluation of the 2012 Drought with a Newly Established National Soil Monitoring Network. Vadose Zone Journal. 14(11). 1–7. 14 indexed citations

5.

Wilson, Tim, et al.. (2014). Leaf litter water content and soil surface CO2 fluxes in a deciduous forest. Agricultural and Forest Meteorology. 192-193. 42–50. 16 indexed citations

6.

Bell, Jesse E., Michael A. Palecki, C. Bruce Baker, et al.. (2013). U.S. Climate Reference Network Soil Moisture and Temperature Observations. Journal of Hydrometeorology. 14(3). 977–988. 277 indexed citations

7.

Wilson, Tim, T. P. Meyers, John Kochendorfer, Martha C. Anderson, & Mark Heuer. (2012). The effect of soil surface litter residue on energy and carbon fluxes in a deciduous forest. Agricultural and Forest Meteorology. 161. 134–147. 13 indexed citations

8.

Houborg, Rasmus, Martha C. Anderson, John M. Norman, Tim Wilson, & Tilden P. Meyers. (2009). Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S.. Agricultural and Forest Meteorology. 149(12). 2162–2182. 14 indexed citations

9.

Agam, Nurit, William P. Kustas, Martha C. Anderson, et al.. (2009). Application of the Priestley–Taylor Approach in a Two-Source Surface Energy Balance Model. Journal of Hydrometeorology. 11(1). 185–198. 100 indexed citations

10.

Houborg, Rasmus, Martha C. Anderson, John M. Norman, Tim Wilson, & Tilden P. Meyers. (2009). Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S.. Agricultural and Forest Meteorology. 149(11). 1875–1895. 51 indexed citations

11.

Thompson, Anita M., et al.. (2008). Modeling the Effect of Summertime Heating on Urban Runoff Temperature¹. JAWRA Journal of the American Water Resources Association. 44(6). 1548–1563. 35 indexed citations

12.

Wilson, Tim & T. P. Meyers. (2007). Determining vegetation indices from solar and photosynthetically active radiation fluxes. Agricultural and Forest Meteorology. 144(3-4). 160–179. 114 indexed citations

13.

Wilson, Tim, John M. Norman, William L. Bland, & Christopher J. Kucharik. (2003). Evaluation of the importance of Lagrangian canopy turbulence formulations in a soil–plant–atmosphere model. Agricultural and Forest Meteorology. 115(1-2). 51–69. 24 indexed citations

14.

Sitch, J.E., et al.. (2002). The use of III-V ICs in WDM optical network equipment. 177–180.

15.

Zagzebski, James A., et al.. (1999). Intervening attenuation affects first-order statistical properties of ultrasound echo signals. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 46(1). 35–40. 37 indexed citations

16.

Madsen, Ernest L., Fang Dong, Gary R. Frank, et al.. (1999). Interlaboratory comparison of ultrasonic backscatter, attenuation, and speed measurements.. Journal of Ultrasound in Medicine. 18(9). 615–631. 175 indexed citations

17.

Wilson, Tim, William L. Bland, & John M. Norman. (1999). Measurement and simulation of dew accumulation and drying in a potato canopy. Agricultural and Forest Meteorology. 93(2). 111–119. 50 indexed citations

18.

Sauer, Thomas J., John M. Norman, C. B. Tanner, & Tim Wilson. (1995). Measurement of heat and vapor transfer coefficients at the soil surface beneath a maize canopy using source plates. Agricultural and Forest Meteorology. 75(1-3). 161–189. 70 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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