K.T. Paw U

754 total citations
10 papers, 308 citations indexed

About

K.T. Paw U is a scholar working on Global and Planetary Change, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, K.T. Paw U has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 4 papers in Computational Mechanics and 4 papers in Environmental Engineering. Recurrent topics in K.T. Paw U's work include Plant Water Relations and Carbon Dynamics (6 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Wind and Air Flow Studies (3 papers). K.T. Paw U is often cited by papers focused on Plant Water Relations and Carbon Dynamics (6 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Wind and Air Flow Studies (3 papers). K.T. Paw U collaborates with scholars based in United States, Italy and Canada. K.T. Paw U's co-authors include Roger H. Shaw, D. Braaten, Neda Yaghoobian, Jan Kleissl, Sonia Wharton, K. Bible, M. Schroeder, M. Falk, Andrew J. McElrone and Richard L. Snyder and has published in prestigious journals such as Atmospheric Environment, Agricultural and Forest Meteorology and Boundary-Layer Meteorology.

In The Last Decade

K.T. Paw U

9 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.T. Paw U United States	8	133	108	78	77	58	10	308
April L. Hiscox United States	12	125 0.9×	106 1.0×	17 0.2×	110 1.4×	46 0.8×	37	313
James B. Wedding United States	10	67 0.5×	158 1.5×	56 0.7×	100 1.3×	64 1.1×	27	424
Carmine Covelli Italy	15	82 0.6×	130 1.2×	81 1.0×	37 0.5×	61 1.1×	20	481
Hüseyin Özdemir Türkiye	11	59 0.4×	121 1.1×	31 0.4×	110 1.4×	39 0.7×	51	380
Chang Geun Song South Korea	10	146 1.1×	65 0.6×	58 0.7×	45 0.6×	45 0.8×	47	332
Wei Mao China	12	60 0.5×	160 1.5×	39 0.5×	86 1.1×	10 0.2×	34	420
Stefania Evangelista Italy	11	63 0.5×	34 0.3×	25 0.3×	50 0.6×	109 1.9×	29	346
Xiaohui Yan Canada	15	166 1.2×	147 1.4×	24 0.3×	57 0.7×	96 1.7×	43	492
F. Trombetti Italy	7	56 0.4×	154 1.4×	191 2.4×	92 1.2×	172 3.0×	19	386

Countries citing papers authored by K.T. Paw U

Since Specialization

Citations

This map shows the geographic impact of K.T. Paw U'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 K.T. Paw U with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.T. Paw U more than expected).

Fields of papers citing papers by K.T. Paw U

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.T. Paw U. 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 K.T. Paw U. The network helps show where K.T. Paw U may publish in the future.

Co-authorship network of co-authors of K.T. Paw U

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

All Works

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10 of 10 papers shown

Chen, Jiquan, K.T. Paw U, Malcolm P. North, & Jerry F. Franklin. (2024). The contributions of microclimatic information in advancing ecosystem science. Agricultural and Forest Meteorology. 355. 110105–110105. 9 indexed citations

Bambach, Nicolás, Andrew J. McElrone, Christopher M. Parry, et al.. (2024). A new method to estimate sensible heat flux and crop water use from wavelet analysis of semi-high frequency infrared radiometric canopy temperature. Acta Horticulturae. 199–206.

Snyder, Richard L., et al.. (2014). Thermocouple frequency response compensation leads to convergence of the surface renewal alpha calibration. Agricultural and Forest Meteorology. 189-190. 36–47. 29 indexed citations

Yaghoobian, Neda, Jan Kleissl, & K.T. Paw U. (2014). An Improved Three-Dimensional Simulation of the Diurnally Varying Street-Canyon Flow. Boundary-Layer Meteorology. 153(2). 251–276. 50 indexed citations

Wharton, Sonia, M. Falk, K. Bible, M. Schroeder, & K.T. Paw U. (2012). Old-growth CO2 flux measurements reveal high sensitivity to climate anomalies across seasonal, annual and decadal time scales. Agricultural and Forest Meteorology. 161. 1–14. 38 indexed citations

Marras, Serena, R. D. Pyles, Costantino Sirca, et al.. (2011). Evaluation of the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem. Agricultural and Forest Meteorology. 151(6). 730–745. 20 indexed citations

Braaten, D. & K.T. Paw U. (1996). A stochastic model of particle reentrainment-deposition in turbulent boundary layers. Journal of Aerosol Science. 27. S601–S602. 1 indexed citations

Pederson, J. R., W. J. Massman, L. Mahrt, et al.. (1995). California ozone deposition experiment: Methods, results, and opportunities. Atmospheric Environment. 29(21). 3115–3132. 54 indexed citations

Braaten, D., K.T. Paw U, & Roger H. Shaw. (1990). Particle resuspension in a turbulent boundary layer-observed and modeled. Journal of Aerosol Science. 21(5). 613–628. 93 indexed citations

10.

Braaten, D., K.T. Paw U, & Roger H. Shaw. (1988). Coherent turbulent structures and particle detachment in boundary layer flows. Journal of Aerosol Science. 19(7). 1183–1186. 14 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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