C. A. Williams

18.1k total citations · 5 hit papers
111 papers, 6.6k citations indexed

About

C. A. Williams is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, C. A. Williams has authored 111 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 22 papers in Ecology. Recurrent topics in C. A. Williams's work include Plant Water Relations and Carbon Dynamics (47 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (24 papers). C. A. Williams is often cited by papers focused on Plant Water Relations and Carbon Dynamics (47 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (24 papers). C. A. Williams collaborates with scholars based in United States, Australia and Germany. C. A. Williams's co-authors include Trevor F. Keenan, J. D. Albertson, G. J. Collatz, Russell L. Scott, Christopher R. Schwalm, Niall P. Hanan, Jeffrey G. Masek, Kevin Schaefer, Peter D. Blanken and Kimberly A. Novick and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

C. A. Williams

110 papers receiving 6.5k citations

Hit Papers

The increasing importance of atmospheric demand for ecosy... 2016 2026 2019 2022 2016 2016 2018 2023 2024 250 500 750 1000

Peers

C. A. Williams
Tao Wang China
Peter D. Blanken United States
Sha Zhou China
Jiafu Mao United States
Shufen Pan United States
Tao Wang China
C. A. Williams
Citations per year, relative to C. A. Williams C. A. Williams (= 1×) peers Tao Wang

Countries citing papers authored by C. A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by C. A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Williams. 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 C. A. Williams. The network helps show where C. A. Williams may publish in the future.

Co-authorship network of co-authors of C. A. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of C. A. Williams. A scholar is included among the top collaborators of C. A. Williams 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 C. A. Williams. C. A. Williams 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.
Zhou, Yu & C. A. Williams. (2025). Forest Carbon Modeling Improved Through Hierarchical Assimilation of Pool‐Based Measurements. Journal of Advances in Modeling Earth Systems. 17(3). 1 indexed citations
2.
Haya, Barbara, Christa M. Anderson, Grayson Badgley, et al.. (2024). Funding forests’ climate potential without carbon offsets. One Earth. 7(7). 1147–1150. 5 indexed citations
3.
Novick, Kimberly A., Trevor F. Keenan, William R. L. Anderegg, et al.. (2024). We need a solid scientific basis for nature-based climate solutions in the United States. Proceedings of the National Academy of Sciences. 121(14). e2318505121–e2318505121. 16 indexed citations
4.
Keenan, Trevor F., C. A. Williams, Yu Zhou, et al.. (2023). Evidence and attribution of the enhanced land carbon sink. Nature Reviews Earth & Environment. 4(8). 518–534. 134 indexed citations breakdown →
5.
Hou, Enqing, Shuang Ma, Yuanyuan Huang, et al.. (2023). Across‐model spread and shrinking in predicting peatland carbon dynamics under global change. Global Change Biology. 29(10). 2759–2775. 9 indexed citations
6.
Jiao, Tong, C. A. Williams, Martin G. De Kauwe, & Belinda E. Medlyn. (2023). Limited Evidence of Cumulative Effects From Recurrent Droughts in Vegetation Responses to Australia's Millennium Drought. Journal of Geophysical Research Biogeosciences. 128(5). 4 indexed citations
7.
Ouyang, Zutao, Tong Jiao, Sarah Féron, et al.. (2022). Albedo changes caused by future urbanization contribute to global warming. Nature Communications. 13(1). 3800–3800. 128 indexed citations
8.
Gourdji, Sharon, A. Karion, Israel Lopez‐Coto, et al.. (2021). A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models. Journal of Geophysical Research Biogeosciences. 127(1). 24 indexed citations
9.
Feng, Sha, Thomas Lauvaux, C. A. Williams, et al.. (2021). Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America. Global Biogeochemical Cycles. 35(7). 7 indexed citations
10.
Zhou, Yu, C. A. Williams, Natalia Hasler, Huan Gu, & Robert E. Kennedy. (2021). Beyond biomass to carbon fluxes: application and evaluation of a comprehensive forest carbon monitoring system. Environmental Research Letters. 16(5). 55026–55026. 14 indexed citations
11.
Zhou, Yu, C. A. Williams, Thomas Lauvaux, et al.. (2020). A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results. Journal of Geophysical Research Biogeosciences. 125(2). 17 indexed citations
12.
Medlyn, Belinda E., Martin G. De Kauwe, Yan‐Shih Lin, et al.. (2017). How do leaf and ecosystem measures of water‐use efficiency compare?. New Phytologist. 216(3). 758–770. 168 indexed citations
13.
Cuba, Nicholas, Deborah Lawrence, John Rogan, & C. A. Williams. (2017). Local variability in the timing and intensity of tropical dry forest deciduousness is explained by differences in forest stand age. GIScience & Remote Sensing. 55(3). 437–456. 6 indexed citations
14.
Keenan, Trevor F., I. Colin Prentice, Josep G. Canadell, et al.. (2016). Recent pause in the growth rate of atmospheric CO2 due to enhanced terrestrial carbon uptake. Nature Communications. 7(1). 13428–13428. 325 indexed citations breakdown →
15.
Novick, Kimberly A., et al.. (2015). Vapor pressure deficit is as important as soil moisture in determining limitations to evapotranspiration during drought. AGU Fall Meeting Abstracts. 2015. 4 indexed citations
16.
Williams, C. A., Bardan Ghimire, G. J. Collatz, & J. G. Masek. (2012). Fire induced carbon emissions and regrowth uptake in western United States forests: Documenting variation across forest types, fire severity, and climate regions. AGUFM. 2012. 1 indexed citations
17.
Beer, Christian, Philippe Ciais, Markus Reichstein, et al.. (2009). Temporal and among‐site variability of inherent water use efficiency at the ecosystem level. Global Biogeochemical Cycles. 23(2). 476 indexed citations
18.
Fine, Howard F., et al.. (2008). Toxic Epidermal Necrolysis Induced by Sulfonamide Eyedrops. Cornea. 27(9). 1068–1069. 3 indexed citations
19.
Williams, C. A.. (2004). Pediatric ophthalmology and strabismus. 2nd ed. British Journal of Ophthalmology. 88(7). 977–977. 22 indexed citations
20.
Williams, C. A., et al.. (1988). Ribulose bisphosphate carboxylase of the procaryotic symbiont of a hydrothermal vent tube worm: kinetics, activity and gene hybridization. FEMS Microbiology Letters. 50(2-3). 107–112. 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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