Daniel A. Shaevitz

544 total citations
9 papers, 436 citations indexed

About

Daniel A. Shaevitz is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Daniel A. Shaevitz has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in Daniel A. Shaevitz's work include Climate variability and models (7 papers), Tropical and Extratropical Cyclones Research (6 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel A. Shaevitz is often cited by papers focused on Climate variability and models (7 papers), Tropical and Extratropical Cyclones Research (6 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel A. Shaevitz collaborates with scholars based in United States, Australia and Italy. Daniel A. Shaevitz's co-authors include Adam H. Sobel, Ji Nie, Shuguang Wang, Suzana J. Camargo, Ming Zhao, Jeffrey A. Jonas, Hui Wang, Arun Kumar, Enrico Scoccimarro and Hiroyuki Murakami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Monthly Weather Review.

In The Last Decade

Daniel A. Shaevitz

9 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Shaevitz United States	7	413	408	188	12	7	9	436
C. Mitas United States	6	403 1.0×	330 0.8×	154 0.8×	13 1.1×	4 0.6×	8	428
Ademe Mekonnen United States	13	498 1.2×	460 1.1×	155 0.8×	23 1.9×	13 1.9×	19	526
Rob Colman Australia	7	356 0.9×	267 0.7×	172 0.9×	16 1.3×	16 2.3×	7	386
Shunya Koseki Norway	13	428 1.0×	347 0.9×	285 1.5×	6 0.5×	5 0.7×	34	481
Eleftheria Exarchou Spain	9	259 0.6×	182 0.4×	170 0.9×	14 1.2×	10 1.4×	13	295
Jorge López‐Parages Spain	10	324 0.8×	263 0.6×	119 0.6×	9 0.8×	9 1.3×	19	361
Tomomichi Ogata Japan	13	533 1.3×	395 1.0×	380 2.0×	14 1.2×	11 1.6×	32	599
Mihaela Caian Sweden	12	366 0.9×	354 0.9×	100 0.5×	17 1.4×	10 1.4×	25	416
Rich Gudgel United States	12	425 1.0×	472 1.2×	162 0.9×	16 1.3×	9 1.3×	14	516
Yijia Hu China	11	371 0.9×	392 1.0×	174 0.9×	11 0.9×	4 0.6×	45	428

Countries citing papers authored by Daniel A. Shaevitz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Shaevitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Shaevitz

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Nie, Ji, Adam H. Sobel, Daniel A. Shaevitz, & Shuguang Wang. (2018). Dynamic amplification of extreme precipitation sensitivity. Proceedings of the National Academy of Sciences. 115(38). 9467–9472. 114 indexed citations

Camargo, Suzana J., Adam H. Sobel, Anthony D. DelGenio, et al.. (2016). Tropical cyclones in the GISS ModelE2. Tellus A Dynamic Meteorology and Oceanography. 68(1). 31494–31494. 14 indexed citations

Shaevitz, Daniel A.. (2016). Extreme weather: subtropical floods and tropical cyclones. Columbia Academic Commons (Columbia University). 3 indexed citations

Daloz, Anne Sophie, Suzana J. Camargo, James P. Kossin, et al.. (2014). Cluster Analysis of Downscaled and Explicitly Simulated North Atlantic Tropical Cyclone Tracks. Journal of Climate. 28(4). 1333–1361. 48 indexed citations

Horn, Michael, Kevin Walsh, Ming Zhao, et al.. (2014). Tracking Scheme Dependence of Simulated Tropical Cyclone Response to Idealized Climate Simulations. Journal of Climate. 27(24). 9197–9213. 88 indexed citations

Wang, Hui, Lindsey N. Long, Arun Kumar, et al.. (2014). How Well Do Global Climate Models Simulate the Variability of Atlantic Tropical Cyclones Associated with ENSO?. Journal of Climate. 27(15). 5673–5692. 45 indexed citations

Shaevitz, Daniel A., Suzana J. Camargo, Adam H. Sobel, et al.. (2014). Characteristics of tropical cyclones in high‐resolution models in the present climate. Journal of Advances in Modeling Earth Systems. 6(4). 1154–1172. 109 indexed citations

Shaevitz, Daniel A. & Adam H. Sobel. (2004). Implementing the Weak Temperature Gradient Approximation with Full Vertical Structure. Monthly Weather Review. 132(2). 662–669. 14 indexed citations

Rätsch, Christian, et al.. (2003). Multiple domain dynamics simulated with coupled level sets. Applied Mathematics Letters. 16(8). 1165–1170. 1 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.

Explore authors with similar magnitude of impact