Y. C. Sud

11.7k total citations · 1 hit paper
95 papers, 5.0k citations indexed

About

Y. C. Sud is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Y. C. Sud has authored 95 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Global and Planetary Change, 77 papers in Atmospheric Science and 18 papers in Oceanography. Recurrent topics in Y. C. Sud's work include Climate variability and models (68 papers), Meteorological Phenomena and Simulations (46 papers) and Atmospheric aerosols and clouds (23 papers). Y. C. Sud is often cited by papers focused on Climate variability and models (68 papers), Meteorological Phenomena and Simulations (46 papers) and Atmospheric aerosols and clouds (23 papers). Y. C. Sud collaborates with scholars based in United States, South Korea and France. Y. C. Sud's co-authors include Yale Mintz, P. J. Sellers, A. Dalcher, G. K. Walker, Taikan Oki, M. J. Fennessy, K.-M. Lau, J. Shukla, Sandrine Bony and Andrea Molod and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Y. C. Sud

92 papers receiving 4.5k citations

Hit Papers

A Simple Biosphere Model (SIB) for Use within General Cir... 1986 2026 1999 2012 1986 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. C. Sud United States 32 4.2k 3.2k 805 630 582 95 5.0k
Serge Planton France 29 2.9k 0.7× 2.3k 0.7× 572 0.7× 794 1.3× 742 1.3× 57 4.0k
P. R. Rowntree United Kingdom 18 3.4k 0.8× 3.0k 0.9× 417 0.5× 325 0.5× 566 1.0× 29 4.2k
Benjamin R. Lintner United States 36 3.4k 0.8× 2.6k 0.8× 621 0.8× 601 1.0× 447 0.8× 88 4.1k
Yongkang Xue United States 49 6.1k 1.4× 5.1k 1.6× 1.3k 1.6× 1.3k 2.0× 481 0.8× 164 7.9k
A. G. Slater United States 32 3.5k 0.8× 5.3k 1.7× 1.9k 2.4× 1.0k 1.6× 485 0.8× 47 7.2k
Bertrand Decharme France 42 3.0k 0.7× 2.0k 0.6× 1.5k 1.9× 975 1.5× 912 1.6× 101 4.6k
Aaron Boone France 37 3.0k 0.7× 2.8k 0.9× 1.6k 2.0× 951 1.5× 367 0.6× 122 4.7k
Peili Wu United Kingdom 34 3.7k 0.9× 2.6k 0.8× 607 0.8× 342 0.5× 879 1.5× 93 4.7k
Eleanor Blyth United Kingdom 30 3.4k 0.8× 2.0k 0.6× 1.4k 1.8× 888 1.4× 212 0.4× 91 4.6k
Jean‐François Mahfouf France 34 3.1k 0.7× 3.4k 1.1× 555 0.7× 1.4k 2.2× 275 0.5× 98 4.4k

Countries citing papers authored by Y. C. Sud

Since Specialization
Citations

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

Fields of papers citing papers by Y. C. Sud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. C. Sud

This figure shows the co-authorship network connecting the top 25 collaborators of Y. C. Sud. A scholar is included among the top collaborators of Y. C. Sud 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 Y. C. Sud. Y. C. Sud 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.
Sud, Y. C., et al.. (2014). Modeling the influences of aerosols on pre-monsoon circulation and rainfall over Southeast Asia. Atmospheric chemistry and physics. 14(13). 6853–6866. 40 indexed citations
2.
Sud, Y. C., et al.. (2013). Performance of McRAS-AC in the GEOS-5 AGCM: aerosol-cloud-microphysics, precipitation, cloud radiative effects, and circulation. Geoscientific model development. 6(1). 57–79. 10 indexed citations
3.
Sud, Y. C., Yang Zhou, Kai Xu, & Alan K. Betts. (2012). Recent trends of the tropical hydrological cycle inferred from Global Precipitation Climatology Project and International Satellite Cloud Climatology Project datasets. AGU Fall Meeting Abstracts. 2012. 8 indexed citations
4.
Morales, Ricardo, et al.. (2012). Sensitivity of cirrus and mixed-phase clouds to the ice nuclei spectra in McRAS-AC: single column model simulations. Atmospheric chemistry and physics. 12(22). 10679–10692. 7 indexed citations
5.
Oreopoulos, Lazaros, et al.. (2012). Radiative impacts of cloud heterogeneity and overlap in an atmospheric General Circulation Model. Atmospheric chemistry and physics. 12(19). 9097–9111. 28 indexed citations
6.
Yasunari, Teppei J., Randal D. Koster, Kei May Lau, et al.. (2012). Correction to “Influence of dust and black carbon on the snow albedo in the NASA Goddard Earth Observing System version 5 land surface model”. Journal of Geophysical Research Atmospheres. 117(D18). 4 indexed citations
7.
Kim, Kyu‐Myong, William K. M. Lau, Y. C. Sud, & Gregory K. Walker. (2010). Influence of aerosol-radiative forcings on the diurnal and seasonal cycles of rainfall over West Africa and Eastern Atlantic Ocean using GCM simulations. Climate Dynamics. 35(1). 115–126. 38 indexed citations
8.
Wilcox, E. M., Y. C. Sud, & G. K. Walker. (2009). Sensitivity of Boreal-Summer Circulation and Precipitation to Atmospheric Aerosols in Selected Regions. Annales Geophysicae. 27. 5 indexed citations
9.
Sud, Y. C., David M. Mocko, & Shian‐Jiann Lin. (2006). Performance of two cloud‐radiation parameterization schemes in the finite volume general circulation model for anomalously wet May and June 2003 over the continental United States and Amazonia. Journal of Geophysical Research Atmospheres. 111(D6). 5 indexed citations
10.
Xu, Kuan‐Man, Minghua Zhang, Zachary A. Eitzen, et al.. (2005). Modeling springtime shallow frontal clouds with cloud‐resolving and single‐column models. Journal of Geophysical Research Atmospheres. 110(D15). 46 indexed citations
11.
Otterman, J., Robert Atlas, S.‐H. Chou, et al.. (2002). Are stronger North‐Atlantic southwesterlies the forcing to the late‐winter warming in Europe?. International Journal of Climatology. 22(6). 743–750. 6 indexed citations
12.
Otterman, J., Robert Atlas, J. Ardizzone, et al.. (2000). Extreme Winter/Early-Spring Temperature Anomalies in Central Europe. NASA Technical Reports Server (NASA). 1 indexed citations
13.
Sud, Y. C. & David M. Mocko. (1999). New Snow-Physics to Complement SSiB. Journal of the Meteorological Society of Japan Ser II. 77(1B). 335–348. 25 indexed citations
14.
Mocko, David M., G. K. Walker, & Y. C. Sud. (1999). New Snow-Physics to Complement SSiB. Journal of the Meteorological Society of Japan Ser II. 77(1B). 349–366. 12 indexed citations
15.
Das, Someshwar, Y. C. Sud, & Max J. Suárez. (1998). Inclusion of a prognostic cloud scheme with the relaxed Arakawa‐Schubert cumulus parametrization: Single‐column model studies. Quarterly Journal of the Royal Meteorological Society. 124(552). 2671–2692. 5 indexed citations
17.
Sud, Y. C., et al.. (1995). Understanding biosphere-precipitation relationships: Theory, model simulations and logical inferences. MAUSAM. 46(1). 1–14. 11 indexed citations
18.
19.
Fennessy, M. J. & Y. C. Sud. (1983). A study of the influence of soil moisture on future precipitation. NASA Technical Reports Server (NASA). 5 indexed citations
20.
Hoffert, Martin I. & Y. C. Sud. (1976). Similarity Theory of the Buoyantly Interactive Planetary Boundary Layer with Entrainment. Journal of the Atmospheric Sciences. 33(11). 2136–2151. 6 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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