M. K. Yau

6.2k total citations · 1 hit paper
110 papers, 4.8k citations indexed

About

M. K. Yau is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, M. K. Yau has authored 110 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Atmospheric Science, 82 papers in Global and Planetary Change and 28 papers in Oceanography. Recurrent topics in M. K. Yau's work include Meteorological Phenomena and Simulations (73 papers), Climate variability and models (61 papers) and Tropical and Extratropical Cyclones Research (54 papers). M. K. Yau is often cited by papers focused on Meteorological Phenomena and Simulations (73 papers), Climate variability and models (61 papers) and Tropical and Extratropical Cyclones Research (54 papers). M. K. Yau collaborates with scholars based in Canada, United States and China. M. K. Yau's co-authors include Jason A. Milbrandt, Da‐Lin Zhang, Yubao Liu, Stephen J. Déry, Paul Vaillancourt, Yongsheng Chen, Peter Bartello, Ron McTaggart‐Cowan, Isztar Zawadzki and Gilbert Brunet and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

M. K. Yau

110 papers receiving 4.6k citations

Hit Papers

A Multimoment Bulk Microphysics Parameterization. Part I:... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers

M. K. Yau
M. J. Manton Australia
Kristina B. Katsaros United States
Ilker Fer Norway
Jeffrey R. French United States
Ian M. Brooks United Kingdom
William M. Drennan United States
Brian K. Haus United States
Andrey A. Grachev United States
Eric D. Skyllingstad United States
M. J. Manton Australia
M. K. Yau
Citations per year, relative to M. K. Yau M. K. Yau (= 1×) peers M. J. Manton

Countries citing papers authored by M. K. Yau

Since Specialization
Citations

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

Fields of papers citing papers by M. K. Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. K. Yau. 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 M. K. Yau. The network helps show where M. K. Yau may publish in the future.

Co-authorship network of co-authors of M. K. Yau

This figure shows the co-authorship network connecting the top 25 collaborators of M. K. Yau. A scholar is included among the top collaborators of M. K. Yau 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 M. K. Yau. M. K. Yau 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.
Xue, Lulin, et al.. (2021). Hygroscopic Seeding Effects of Giant Aerosol Particles Simulated by the Lagrangian‐Particle‐Based Direct Numerical Simulation. Geophysical Research Letters. 48(20). 11 indexed citations
2.
Yau, M. K., et al.. (2018). Sensitivity of Tropical Cyclone Intensification to Axisymmetric Heat Sources: The Role of Low-Level Heating and Cooling from Different Microphysical Processes. Journal of the Atmospheric Sciences. 75(12). 4229–4246. 1 indexed citations
3.
Brunet, Gilbert, et al.. (2016). On the Dynamics of the Formation of the Kelvin Cat’s-Eye in Tropical Cyclogenesis. Part I: Climatological Investigation. Journal of the Atmospheric Sciences. 73(6). 2317–2338. 11 indexed citations
4.
Brunet, Gilbert, et al.. (2016). On the Dynamics of the Formation of the Kelvin Cat’s-Eye in Tropical Cyclogenesis. Part II: Numerical Simulation. Journal of the Atmospheric Sciences. 73(6). 2339–2359. 8 indexed citations
5.
Davison, Bruce, et al.. (2016). What is Missing from the Prescription of Hydrology for Land Surface Schemes?. Journal of Hydrometeorology. 17(7). 2013–2039. 30 indexed citations
6.
Chen, Sisi, et al.. (2015). Cloud Droplet Collisions in Turbulent Environment: Collision Statistics and Parameterization. Journal of the Atmospheric Sciences. 73(2). 621–636. 31 indexed citations
7.
Zawadzki, Isztar, et al.. (2015). The Case-to-Case Variability of the Predictability of Precipitation by a Storm-Scale Ensemble Forecasting System. Monthly Weather Review. 144(1). 193–212. 23 indexed citations
8.
Vaillancourt, Paul, et al.. (2014). Adapting Two-Moment Microphysics Schemes across Model Resolutions: Subgrid Cloud and Precipitation Fraction and Microphysical Sub–Time Step. Journal of the Atmospheric Sciences. 71(7). 2635–2653. 21 indexed citations
9.
Sun, Jinsheng, H. G. Leighton, M. K. Yau, & Parisa A. Ariya. (2012). Numerical evidence for cloud droplet nucleation at the cloud-environment interface. Atmospheric chemistry and physics. 12(24). 12155–12164. 16 indexed citations
10.
Lavaysse, Christophe, Marco L. Carrera, Stéphane Bélair, et al.. (2012). Impact of Surface Parameter Uncertainties within the Canadian Regional Ensemble Prediction System. Monthly Weather Review. 141(5). 1506–1526. 27 indexed citations
11.
Yang, Jing, M. K. Yau, Xing Fang, & John W. Pomeroy. (2010). A triple-moment blowing snow-atmospheric model and its application in computing the seasonal wintertime snow mass budget. Hydrology and earth system sciences. 14(6). 1063–1079. 17 indexed citations
12.
Brunet, Gilbert, et al.. (2010). On the Dynamics of Two-Dimensional Hurricane-Like Vortex Symmetrization. Journal of the Atmospheric Sciences. 67(11). 3559–3580. 10 indexed citations
13.
Milbrandt, Jason A., M. K. Yau, Jocelyn Mailhot, & Stéphane Bélair. (2008). Simulation of an Orographic Precipitation Event during IMPROVE-2. Part I: Evaluation of the Control Run Using a Triple-Moment Bulk Microphysics Scheme. Monthly Weather Review. 136(10). 3873–3893. 35 indexed citations
14.
Milbrandt, Jason A. & M. K. Yau. (2005). A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description. Journal of the Atmospheric Sciences. 62(9). 3065–3081. 450 indexed citations
15.
McTaggart‐Cowan, Ron, John R. Gyakum, & M. K. Yau. (2002). Moist Component Potential Vorticity. Journal of the Atmospheric Sciences. 60(1). 166–177. 10 indexed citations
16.
Ryan, B. F., Jack Katzfey, Christian Jakob, et al.. (2000). Simulations of a Cold Front by Cloud-Resolving, Limited-Area, and Large-Scale Models, and a Model Evaluation Using In Situ and Satellite Observations. Monthly Weather Review. 128(9). 3218–3235. 35 indexed citations
17.
Kong, Fanyou & M. K. Yau. (1997). An explicit approach to microphysics in MC2. ATMOSPHERE-OCEAN. 35(3). 257–291. 86 indexed citations
18.
Yau, M. K., et al.. (1995). Explosive Marine Cyclogenesis in a Three-Layer Model with a Representation of Slantwise Convection: A Sensitivity Study. Journal of the Atmospheric Sciences. 52(5). 533–550. 5 indexed citations
19.
Stewart, Ronald E., et al.. (1995). Winter storms over Canada. ATMOSPHERE-OCEAN. 33(2). 223–247. 46 indexed citations
20.
Reuter, Gerhard W. & M. K. Yau. (1993). Assessment of Slantwise Convection in ERICA Cyclones. Monthly Weather Review. 121(2). 375–386. 11 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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