Chatt Williamson

458 total citations
24 papers, 328 citations indexed

About

Chatt Williamson is a scholar working on Atmospheric Science, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chatt Williamson has authored 24 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 9 papers in Environmental Engineering and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chatt Williamson's work include Indoor Air Quality and Microbial Exposure (7 papers), Air Quality and Health Impacts (6 papers) and Wind and Air Flow Studies (6 papers). Chatt Williamson is often cited by papers focused on Indoor Air Quality and Microbial Exposure (7 papers), Air Quality and Health Impacts (6 papers) and Wind and Air Flow Studies (6 papers). Chatt Williamson collaborates with scholars based in United States and Israel. Chatt Williamson's co-authors include Yansen Wang, Joshua L. Santarpia, Steven C. Hill, Yong–Le Pan, Sam Chang, D. Doughty, Mark A. Coleman, Michael J. Brown, Akshay Gowardhan and John R. Hannan and has published in prestigious journals such as Atmospheric Environment, Optics Express and Review of Scientific Instruments.

In The Last Decade

Chatt Williamson

20 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chatt Williamson United States 10 148 141 124 68 29 24 328
Taekyu Joo United States 11 60 0.4× 207 1.5× 180 1.5× 64 0.9× 37 1.3× 19 352
Jiawei Zhuang China 12 79 0.5× 237 1.7× 65 0.5× 226 3.3× 8 0.3× 22 417
Xiangdong Zheng China 16 82 0.6× 522 3.7× 142 1.1× 403 5.9× 9 0.3× 68 675
Stefan Riechelmann Germany 12 53 0.4× 115 0.8× 66 0.5× 147 2.2× 7 0.2× 21 402
A. Trier Chile 13 349 2.4× 164 1.2× 324 2.6× 102 1.5× 6 0.2× 29 647
Thomas Plocoste France 15 253 1.7× 163 1.2× 239 1.9× 207 3.0× 3 0.1× 37 478
Qixiang Chen China 13 128 0.9× 266 1.9× 159 1.3× 333 4.9× 3 0.1× 33 455
M. V. S. N. Prasad India 13 42 0.3× 157 1.1× 75 0.6× 81 1.2× 2 0.1× 59 448
Ailin Liang China 11 42 0.3× 209 1.5× 19 0.2× 272 4.0× 3 0.1× 29 337

Countries citing papers authored by Chatt Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Chatt Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chatt Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Chatt Williamson. A scholar is included among the top collaborators of Chatt Williamson 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 Chatt Williamson. Chatt Williamson 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.
Santarpia, Joshua L., Don Collins, Shanna Ratnesar-Shumate, et al.. (2022). Changes in the Fluorescence of Biological Particles Exposed to Environmental Conditions in the National Capitol Region. Atmosphere. 13(9). 1358–1358. 3 indexed citations
2.
Santarpia, Joshua L., et al.. (2019). Changes of fluorescence spectra and viability from aging aerosolized E. coli cells under various laboratory-controlled conditions in an advanced rotating drum. Aerosol Science and Technology. 53(11). 1261–1276. 13 indexed citations
3.
Hill, Steven C., et al.. (2015). Size-dependent fluorescence of bioaerosols: Mathematical model using fluorescing and absorbing molecules in bacteria. Journal of Quantitative Spectroscopy and Radiative Transfer. 157. 54–70. 28 indexed citations
4.
Hill, Steven C., et al.. (2014). Fluorescence of bioaerosols: mathematical model including primary fluorescing and absorbing molecules in bacteria: errata. Optics Express. 22(19). 22817–22817. 8 indexed citations
5.
Pan, Yong–Le, Steven C. Hill, Joshua L. Santarpia, et al.. (2014). Spectrally-resolved fluorescence cross sections of aerosolized biological live agents and simulants using five excitation wavelengths in a BSL-3 laboratory. Optics Express. 22(7). 8165–8165. 23 indexed citations
6.
Wang, Yansen, et al.. (2013). Integration of Google Maps/Earth with microscale meteorology models and data visualization. Computers & Geosciences. 61. 23–31. 43 indexed citations
7.
Hill, Steven C., et al.. (2013). Fluorescence of bioaerosols: mathematical model including primary fluorescing and absorbing molecules in bacteria. Optics Express. 21(19). 22285–22285. 39 indexed citations
8.
Pan, Yong–Le, Joshua L. Santarpia, Shanna Ratnesar-Shumate, et al.. (2013). Effects of ozone and relative humidity on fluorescence spectra of octapeptide bioaerosol particles. Journal of Quantitative Spectroscopy and Radiative Transfer. 133. 538–550. 30 indexed citations
9.
Wang, Yansen, et al.. (2012). Airborne Doppler wind lidar data fusion with a diagnostic wind model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8379. 83790L–83790L. 1 indexed citations
10.
Hanna, Steven R., John White, Michael J. Brown, et al.. (2011). Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models. Atmospheric Environment. 45(24). 4073–4081. 55 indexed citations
11.
Wang, Yansen, et al.. (2010). Building and Vegetation Rasterization for the Three-dimensional Wind Field (3DWF) Model. 37(7). 1203–10. 1 indexed citations
13.
Wang, Yansen, David Ligon, Chatt Williamson, et al.. (2007). Nocturnal Low-Level-Jet-Dominated Atmospheric Boundary Layer Observed by a Doppler Lidar over Oklahoma City during JU2003. Journal of Applied Meteorology and Climatology. 46(12). 2098–2109. 28 indexed citations
14.
Wang, Yansen, et al.. (2005). Application of a Multigrid Method to a Mass-Consistent Diagnostic Wind Model. Journal of Applied Meteorology. 44(7). 1078–1089. 22 indexed citations
15.
Williamson, Chatt, et al.. (2004). Urban Effects on Transport and Diffusion of Smokes and Toxic Agents. Defense Technical Information Center (DTIC).
16.
Wang, Yansen, David Ligon, Edward Creegan, et al.. (2004). Turbulence characteristics over an Urban domain observed by Doppler lidars. 251–254. 1 indexed citations
17.
Petit, Géraldine, et al.. (2004). Optimization of the NMS6b weather model code. 281–285.
18.
Williamson, Chatt, Robert Pastel, & Rosario C. Sausa. (1996). Detection of Ambient NO by Laser-Induced Photoacoustic Spectrometry Using A2Σ+ − X2Π (0,0) Transitions Near 226 nm. Applied Spectroscopy. 50(2). 205–210. 5 indexed citations
19.
Williamson, Chatt, et al.. (1994). Photoacoustic cell for routine analysis. Review of Scientific Instruments. 65(6). 2155–2156. 1 indexed citations
20.
Williamson, Chatt, A. Knüttel, & Jay R. Knutson. (1993). A simple internally mixed photomultiplier with GHz response. Review of Scientific Instruments. 64(10). 3014–3017. 2 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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