Michael Notaro

5.0k total citations
91 papers, 3.9k citations indexed

About

Michael Notaro is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Michael Notaro has authored 91 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Global and Planetary Change, 61 papers in Atmospheric Science and 10 papers in Water Science and Technology. Recurrent topics in Michael Notaro's work include Climate variability and models (55 papers), Plant Water Relations and Carbon Dynamics (29 papers) and Meteorological Phenomena and Simulations (18 papers). Michael Notaro is often cited by papers focused on Climate variability and models (55 papers), Plant Water Relations and Carbon Dynamics (29 papers) and Meteorological Phenomena and Simulations (18 papers). Michael Notaro collaborates with scholars based in United States, China and Iran. Michael Notaro's co-authors include Zhengyu Liu, Yan Yu, О. В. Калашникова, Steve Vavrus, John W. Williams, Val Bennington, Robert G. Gallimore, Azar Zarrin, M. J. Garay and Eyad Fadda and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Michael Notaro

88 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Notaro United States	38	2.8k	2.3k	692	462	436	91	3.9k
Ashley P. Ballantyne United States	34	2.7k 1.0×	1.9k 0.8×	1.4k 2.0×	318 0.7×	322 0.7×	81	4.9k
Henry F. Díaz United States	26	2.3k 0.8×	2.8k 1.2×	535 0.8×	198 0.4×	216 0.5×	55	4.0k
Robert S. Webb United States	32	1.2k 0.4×	2.6k 1.1×	960 1.4×	596 1.3×	318 0.7×	49	3.7k
Cuihua Li China	22	2.8k 1.0×	2.1k 0.9×	658 1.0×	104 0.2×	476 1.1×	56	4.0k
Jozef Syktus Australia	24	1.4k 0.5×	1.3k 0.5×	472 0.7×	242 0.5×	237 0.5×	62	2.9k
Zhi‐Yong Yin China	33	3.3k 1.2×	3.1k 1.4×	475 0.7×	253 0.5×	451 1.0×	91	5.1k
Nan Rosenbloom United States	39	3.6k 1.3×	3.9k 1.7×	1.0k 1.5×	466 1.0×	237 0.5×	93	5.8k
Dabang Jiang China	37	2.7k 1.0×	3.5k 1.5×	450 0.7×	517 1.1×	298 0.7×	188	4.5k
Christian H. Reick Germany	30	2.9k 1.0×	1.8k 0.8×	651 0.9×	154 0.3×	205 0.5×	67	4.1k
Huei‐Ping Huang United States	18	1.9k 0.7×	1.3k 0.6×	543 0.8×	99 0.2×	313 0.7×	46	3.0k

Countries citing papers authored by Michael Notaro

Since Specialization

Citations

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

Fields of papers citing papers by Michael Notaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Notaro

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Notaro. A scholar is included among the top collaborators of Michael Notaro 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 Michael Notaro. Michael Notaro 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

Xue, Pengfei, Chenfu Huang, Yafang Zhong, et al.. (2025). Enhancing winter climate simulations of the Great Lakes: insights from a new coupled lake–ice–atmosphere (CLIAv1) system on the importance of integrating 3D hydrodynamics with a regional climate model. Geoscientific model development. 18(13). 4293–4316.

Saeedi, Mohsen, et al.. (2025). Dust transport pathways from the Mesopotamian Marshes. Aeolian Research. 73. 100975–100975.

Wright, Daniel B., et al.. (2025). Flood frequency sampling error: insights from regional analysis, stochastic storm transposition, and physics-based modeling. Journal of Hydrology. 662. 133802–133802. 1 indexed citations

Desai, Ankur R., et al.. (2023). Extratropical Cyclone Response to Projected Reductions in Snow Extent over the Great Plains. Atmosphere. 14(5). 783–783. 1 indexed citations

Rood, Richard B., et al.. (2021). Large lakes in climate models: A Great Lakes case study on the usability of CMIP5. Journal of Great Lakes Research. 47(2). 405–418. 23 indexed citations

Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2020). Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest. Geophysical Research Letters. 47(13). 22 indexed citations

Yu, Yan & Michael Notaro. (2020). Observed land surface feedbacks on the Australian monsoon system. Climate Dynamics. 54(5-6). 3021–3040. 17 indexed citations

Yu, Yan, Jiafu Mao, Peter Thornton, et al.. (2020). Quantifying the drivers and predictability of seasonal changes in African fire. Nature Communications. 11(1). 2893–2893. 25 indexed citations

Yu, Yan, О. В. Калашникова, M. J. Garay, & Michael Notaro. (2019). Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis. Atmospheric chemistry and physics. 19(1). 363–378. 48 indexed citations

10.

Yu, Yan, О. В. Калашникова, M. J. Garay, Huikyo Lee, & Michael Notaro. (2018). Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations. Geophysical Research Letters. 45(13). 6690–6701. 70 indexed citations

11.

Yu, Yan, О. В. Калашникова, M. J. Garay, & Michael Notaro. (2018). Climatology in Asian dust activation and transport based on MISR satellite observations and trajectory analysis. Biogeosciences (European Geosciences Union). 1 indexed citations

12.

Yu, Yan, Michael Notaro, Fuyao Wang, et al.. (2017). Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature Communications. 8(1). 1873–1873. 61 indexed citations

13.

Notaro, Michael, Michael L. Schummer, Yafang Zhong, et al.. (2016). Projected Influences of Changes in Weather Severity on Autumn-Winter Distributions of Dabbling Ducks in the Mississippi and Atlantic Flyways during the Twenty-First Century. PLoS ONE. 11(12). e0167506–e0167506. 37 indexed citations

14.

Notaro, Michael, Val Bennington, & Steve Vavrus. (2014). Dynamically Downscaled Projections of Lake-Effect Snow in the Great Lakes Basin. Journal of Climate. 28(4). 1661–1684. 97 indexed citations

15.

Notaro, Michael, et al.. (2012). Vegetation and land carbon projections for Wisconsin, USA, in the 21st century. Climate Research. 54(2). 149–165. 2 indexed citations

16.

Yu, Y., et al.. (2012). Combining satellite, radiometric, and station data to study atmospheric dust over Saudi Arabia. AGUFM. 2012. 1 indexed citations

17.

Notaro, Michael, Kathleen D. Holman, Azar Zarrin, et al.. (2012). Influence of the Laurentian Great Lakes on Regional Climate. AGUFM. 2012. 1 indexed citations

18.

Notaro, Michael, et al.. (2011). Simulated Local and remote biophysical effects of afforestation over Southeast United States in boreal summer. AGU Fall Meeting Abstracts. 2011. 3 indexed citations

19.

Wang, Yi, et al.. (2008). Detecting vegetation-precipitation feedbacks in mid-Holocene North Africa from two climate models. Climate of the past. 4(1). 59–67. 33 indexed citations

20.

Notaro, Michael, et al.. (2007). Joint Statistical and Dynamical Assessment of Simulated Vegetation Feedbacks on Climate Over the Boreal Forests. AGUFM. 2007. 8 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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