S. Nicholls

2.7k total citations
36 papers, 2.0k citations indexed

About

S. Nicholls is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, S. Nicholls has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 10 papers in Earth-Surface Processes. Recurrent topics in S. Nicholls's work include Meteorological Phenomena and Simulations (23 papers), Atmospheric aerosols and clouds (17 papers) and Aeolian processes and effects (9 papers). S. Nicholls is often cited by papers focused on Meteorological Phenomena and Simulations (23 papers), Atmospheric aerosols and clouds (17 papers) and Aeolian processes and effects (9 papers). S. Nicholls collaborates with scholars based in United States, United Kingdom and Germany. S. Nicholls's co-authors include J. D. Turton, Margaret A. LeMone, David A. Randall, Bruce A. Albrecht, C. J. Readings, A. Slingo, Johannes Schmetz, Karen I. Mohr, R. Barker and G. Sommeria and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of the Atmospheric Sciences.

In The Last Decade

S. Nicholls

35 papers receiving 1.8k citations

Peers

S. Nicholls

GPC

OCEAN

A. S. Frisch United States

M. K. MacVean United Kingdom

A. L. M. Grant United Kingdom

Vincent E. Larson United States

Dieter Etling Germany

Roel Neggers Germany

Yefim L. Kogan United States

Louise Nuijens Germany

W. T. Roach United Kingdom

L. Jay Miller United States

A. S. Frisch United States

S. Nicholls

1.5k ×0.9

1.4k ×0.8

GPC

350 ×0.8

196 ×0.7

189 ×1.0

OCEAN

Citations per year, relative to S. Nicholls S. Nicholls (= 1×) peers A. S. Frisch

Countries citing papers authored by S. Nicholls

Since Specialization

Citations

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

Fields of papers citing papers by S. Nicholls

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nicholls

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

All Works

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20 of 20 papers shown

Tang, Owen, Michael P. Gray, S A Vernon, et al.. (2025). Evaluating the role of lipoprotein(a) in enhancing risk stratification for the presence and extent of subclinical coronary artery disease burden: a BioHEART-CT study. European Journal of Preventive Cardiology. 3 indexed citations

Gambacorta, Antonia, Rachael Kroodsma, Shawn Serbin, et al.. (2024). The West-Coast Hyperspectral Microwave Sensor Intensive Experiment (WHYMSIE). 1430–1432.

Grecu, Mircea, Gerald M. Heymsfield, S. Nicholls, S. Lang, & William S. Olson. (2024). A Machine Learning Approach to Mitigate Ground Clutter Effects in the GPM Combined Radar–Radiometer Algorithm (CORRA) Precipitation Estimates. Journal of Atmospheric and Oceanic Technology. 42(1). 17–31. 2 indexed citations

Rauber, Robert M., John E. Yorks, Joseph A. Finlon, et al.. (2023). Cloud-Top Phase Characterization of Extratropical Cyclones over the Northeast and Midwest United States: Results from IMPACTS. Journal of the Atmospheric Sciences. 81(2). 341–361. 3 indexed citations

Palm, Stephen P., Patrick Selmer, John E. Yorks, S. Nicholls, & E. P. Nowottnick. (2021). Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements. SHILAP Revista de lepidopterología. 2. 21 indexed citations

Nicholls, S., et al.. (2017). Influence of bulk microphysics schemes upon Weather Research and Forecasting (WRF) version 3.6.1 nor'easter simulations. Geoscientific model development. 10(2). 1033–1049. 5 indexed citations

Wu, Dexing, et al.. (2012). Sun‐Moon gravitation‐induced wave characteristics and climate variation. Journal of Geophysical Research Atmospheres. 117(D7). 9 indexed citations

Nicholls, S. & George S. Young. (2007). Dendritic Patterns in Tropical Cumulus: An Observational Analysis. Monthly Weather Review. 135(5). 1994–2005. 3 indexed citations

Nicholls, S., et al.. (1990). A New Fast Response Instrument for Measuring Total Water Content from Aircraft. Journal of Atmospheric and Oceanic Technology. 7(5). 706–718. 34 indexed citations

10.

Nicholls, S., et al.. (1988). A comparison of radiometric and immersion temperature measurements in water clouds. 1. 322–324. 4 indexed citations

11.

Albrecht, Bruce A., David A. Randall, & S. Nicholls. (1988). Observations of Marine Stratocumulus Clouds During FIRE. Bulletin of the American Meteorological Society. 69(6). 618–626. 207 indexed citations

12.

Turton, J. D. & S. Nicholls. (1987). A Study of the Diurnal Variation of Stratocumulus Using A Multiple Mixed Layer Model. Quarterly Journal of the Royal Meteorological Society. 113(477). 969–1009. 160 indexed citations

13.

Nicholls, S., et al.. (1987). A study of the diurnal variation of stratocumulus using a multiple mixed layer model. Quarterly Journal of the Royal Meteorological Society. 113(477). 969–1009. 37 indexed citations

14.

Nicholls, S.. (1987). A Model of Drizzle Growth In Warm, Turbulent, Stratiform Clouds. Quarterly Journal of the Royal Meteorological Society. 113(478). 1141–1170. 43 indexed citations

15.

Nicholls, S. & J. D. Turton. (1986). An observational study of the structure of stratiform cloud sheets: Part II. Entrainment. Quarterly Journal of the Royal Meteorological Society. 112(472). 461–480. 116 indexed citations

16.

Nicholls, S., et al.. (1986). An observational study of the structure of stratiform cloud sheets: Part I. Structure. Quarterly Journal of the Royal Meteorological Society. 112(472). 431–460. 12 indexed citations

17.

Nicholls, S.. (1984). The dynamics of stratocumulus: Aircraft observations and comparisons with a mixed layer model. Quarterly Journal of the Royal Meteorological Society. 110(466). 783–820. 370 indexed citations

18.

Schmetz, Johannes, A. Slingo, S. Nicholls, & E. Raschke. (1983). Case studies of radiation in the cloud-capped atmospheric boundary layer. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 308(1503). 377–388. 4 indexed citations

19.

Nicholls, S., Burghard Brümmer, F. Fiedler, et al.. (1983). The structure of the turbulent atmospheric boundary layer. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 308(1503). 291–309. 15 indexed citations

20.

Nicholls, S. & F. B. Smith. (1982). On the definition of the flux of sensible heat. Boundary-Layer Meteorology. 24(1). 121–127. 5 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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