John J. Cassano

7.9k total citations
136 papers, 4.4k citations indexed

About

John J. Cassano is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, John J. Cassano has authored 136 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Atmospheric Science, 103 papers in Global and Planetary Change and 12 papers in Oceanography. Recurrent topics in John J. Cassano's work include Climate variability and models (83 papers), Arctic and Antarctic ice dynamics (63 papers) and Cryospheric studies and observations (57 papers). John J. Cassano is often cited by papers focused on Climate variability and models (83 papers), Arctic and Antarctic ice dynamics (63 papers) and Cryospheric studies and observations (57 papers). John J. Cassano collaborates with scholars based in United States, Germany and Australia. John J. Cassano's co-authors include Amanda H. Lynch, Thomas R. Parish, Petteri Uotila, Mark W. Seefeldt, David H. Bromwich, Elizabeth N. Cassano, M. Higgins, Mark C. Serreze, Matthew A. Lazzara and Joel Finnis and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John J. Cassano

133 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Cassano United States 38 3.9k 2.9k 447 349 250 136 4.4k
J. Scott Hosking United Kingdom 25 2.9k 0.7× 1.8k 0.6× 542 1.2× 523 1.5× 79 0.3× 67 3.3k
Annette Rinke Germany 37 4.6k 1.2× 2.8k 1.0× 343 0.8× 463 1.3× 104 0.4× 155 4.9k
Andrew Orr United Kingdom 33 3.2k 0.8× 2.1k 0.7× 434 1.0× 327 0.9× 79 0.3× 88 3.6k
Paul J. Kushner Canada 39 5.2k 1.3× 4.8k 1.6× 1.2k 2.7× 195 0.6× 133 0.5× 118 6.0k
Fumihiko Nishio Japan 23 1.6k 0.4× 862 0.3× 188 0.4× 396 1.1× 297 1.2× 139 2.2k
Ola M. Johannessen Norway 38 4.1k 1.1× 1.9k 0.6× 2.1k 4.8× 439 1.3× 144 0.6× 201 5.5k
James A Maslanik United States 40 5.6k 1.5× 1.9k 0.6× 854 1.9× 658 1.9× 292 1.2× 121 6.4k
Gerd Wendler United States 28 2.0k 0.5× 994 0.3× 155 0.3× 330 0.9× 234 0.9× 124 2.4k
Robert Grumbine United States 13 2.5k 0.6× 2.4k 0.8× 536 1.2× 234 0.7× 351 1.4× 24 3.4k
Jan‐Gunnar Winther Norway 32 2.5k 0.6× 560 0.2× 309 0.7× 640 1.8× 83 0.3× 77 3.0k

Countries citing papers authored by John J. Cassano

Since Specialization
Citations

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

Fields of papers citing papers by John J. Cassano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Cassano. 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 John J. Cassano. The network helps show where John J. Cassano may publish in the future.

Co-authorship network of co-authors of John J. Cassano

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Cassano. A scholar is included among the top collaborators of John J. Cassano 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 John J. Cassano. John J. Cassano 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.
Cassano, John J., et al.. (2025). CMIP6 Representation of Declining Sea Ice and Arctic Cyclones in the Current Climate. Journal of Geophysical Research Atmospheres. 130(14).
2.
Seefeldt, Mark W., John J. Cassano, Younjoo Lee, et al.. (2024). Evaluation of dynamical downscaling in a fully coupled regional earth system model. Frontiers in Earth Science. 12. 1 indexed citations
3.
Jozef, Gina, John J. Cassano, Amy Solomon, Janet Intrieri, & Gijs de Boer. (2024). Evaluation of the Coupled Arctic Forecast System’s representation of the Arctic atmospheric boundary layer vertical structure during MOSAiC. Elementa Science of the Anthropocene. 12(1). 1 indexed citations
4.
Jozef, Gina, et al.. (2024). An overview of the vertical structure of the atmospheric boundary layer in the central Arctic during MOSAiC. Atmospheric chemistry and physics. 24(2). 1429–1450. 5 indexed citations
5.
Wang, Hailong, Gang Chen, L. Ruby Leung, et al.. (2024). The role of interdecadal climate oscillations in driving Arctic atmospheric river trends. Nature Communications. 15(1). 2135–2135. 15 indexed citations
6.
Egerer, Ulrike, John J. Cassano, Matthew D. Shupe, et al.. (2023). Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign. Atmospheric measurement techniques. 16(8). 2297–2317. 4 indexed citations
7.
Cassano, John J., et al.. (2023). Variations in boundary layer stability across Antarctica: a comparison between coastal and interior sites. Weather and Climate Dynamics. 4(4). 1045–1069. 5 indexed citations
8.
Calmer, Radiance, Gijs de Boer, Jonathan Hamilton, et al.. (2023). Relationships between summertime surface albedo and melt pond fraction in the central Arctic Ocean: The aggregate scale of albedo obtained on the MOSAiC floe. Elementa Science of the Anthropocene. 11(1).
10.
Boer, Gijs de, Radiance Calmer, Gina Jozef, et al.. (2022). Observing the Central Arctic Atmosphere and Surface with University of Colorado uncrewed aircraft systems. Scientific Data. 9(1). 439–439. 15 indexed citations
11.
Cassano, John J., et al.. (2021). Antarctic atmospheric boundary layer observations with the Small Unmanned Meteorological Observer (SUMO). Earth system science data. 13(3). 969–982. 6 indexed citations
12.
Cassano, John J., et al.. (2020). The Atmospheric Boundary Layer and Surface Conditions during Katabatic Wind Events over the Terra Nova Bay Polynya. Remote Sensing. 12(24). 4160–4160. 19 indexed citations
13.
Jonassen, Marius O., et al.. (2020). Present Temperature, Precipitation, and Rain‐on‐Snow Climate in Svalbard. Journal of Geophysical Research Atmospheres. 125(14). 25 indexed citations
14.
Brunke, Michael A., John J. Cassano, Nicholas Dawson, et al.. (2018). Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations. Geoscientific model development. 11(12). 4817–4841. 8 indexed citations
15.
Gutowski, William J., et al.. (2016). Analysis of WRF extreme daily precipitation over Alaska using self‐organizing maps. Journal of Geophysical Research Atmospheres. 121(13). 7746–7761. 18 indexed citations
16.
Kennicutt, Mahlon C., Steven L. Chown, John J. Cassano, et al.. (2014). Polar research: Six priorities for Antarctic science. Nature. 512(7512). 23–25. 151 indexed citations
17.
Lazzara, Matthew A., Jonathan E. Thom, John J. Cassano, et al.. (2013). Automatic Weather Station (AWS) Program operated by the University of Wisconsin-Madison during the 2011-2012 field season. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Seefeldt, Mark W., et al.. (2012). Evaluation of WRF Radiation and Microphysics Parameterizations for Use in the Polar Regions. AGUFM. 2012. 1 indexed citations
19.
Bromwich, David H. & John J. Cassano. (2001). meeting summary: Antarctic Weather Forecasting Workshop. Bulletin of the American Meteorological Society. 82(7). 1409–1413. 9 indexed citations
20.
Cassano, John J.. (1998). The impact of numerical model configuration on simulated Antarctic katabatic winds. PhDT. 222. 3 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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