Jonathan L. Case

1.1k total citations
71 papers, 675 citations indexed

About

Jonathan L. Case is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jonathan L. Case has authored 71 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atmospheric Science, 45 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in Jonathan L. Case's work include Meteorological Phenomena and Simulations (46 papers), Climate variability and models (36 papers) and Soil Moisture and Remote Sensing (14 papers). Jonathan L. Case is often cited by papers focused on Meteorological Phenomena and Simulations (46 papers), Climate variability and models (36 papers) and Soil Moisture and Remote Sensing (14 papers). Jonathan L. Case collaborates with scholars based in United States, Kenya and Italy. Jonathan L. Case's co-authors include Sujay V. Kumar, William L. Crosson, C. D. Peters‐Lidard, Bradley Zavodsky, Gary J. Jedlovec, William M. Lapenta, Scott R. Dembek, Ryan A. Sobash, Jason J. Levit and John Manobianco and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Jonathan L. Case

60 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan L. Case United States 17 500 459 188 57 50 71 675
Dale A. Morris United States 5 290 0.6× 270 0.6× 203 1.1× 50 0.9× 56 1.1× 6 541
Andreas Will Germany 6 572 1.1× 605 1.3× 108 0.6× 75 1.3× 29 0.6× 17 887
Ian Strangeways Netherlands 11 255 0.5× 290 0.6× 68 0.4× 60 1.1× 22 0.4× 47 465
Ain Kallis Estonia 5 638 1.3× 884 1.9× 63 0.3× 82 1.4× 80 1.6× 8 1.1k
A. Santamaría-Artigas United States 11 240 0.5× 496 1.1× 196 1.0× 90 1.6× 253 5.1× 24 779
Albert Sutherland United States 3 242 0.5× 252 0.5× 225 1.2× 59 1.0× 57 1.1× 4 517
Himanshu Shrivastava India 5 211 0.4× 211 0.5× 186 1.0× 49 0.9× 57 1.1× 10 511
Laurent Delobbe Belgium 17 764 1.5× 609 1.3× 227 1.2× 139 2.4× 156 3.1× 40 1.1k
Bernat Codina Spain 16 494 1.0× 275 0.6× 151 0.8× 33 0.6× 45 0.9× 34 704
Eungul Lee United States 16 286 0.6× 506 1.1× 89 0.5× 71 1.2× 167 3.3× 37 716

Countries citing papers authored by Jonathan L. Case

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. Case. 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 Jonathan L. Case. The network helps show where Jonathan L. Case may publish in the future.

Co-authorship network of co-authors of Jonathan L. Case

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. Case. A scholar is included among the top collaborators of Jonathan L. Case 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 Jonathan L. Case. Jonathan L. Case 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.
Pierce, R. Bradley, Monica Harkey, Allen Lenzen, et al.. (2023). High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study. Atmospheric chemistry and physics. 23(16). 9613–9635. 2 indexed citations
2.
Kaempf, Andy, Michael Pfeffer, Thomas G. DeLoughery, et al.. (2023). Comparison of bleeding and thrombotic outcomes in veno‐venous extracorporeal membrane oxygenation: Heparin versus bivalirudin. European Journal Of Haematology. 112(4). 566–576. 4 indexed citations
3.
Otkin, Jason A., Lee M. Cronce, Jonathan L. Case, et al.. (2023). Meteorological modeling sensitivity to parameterizations and satellite-derived surface datasets during the 2017 Lake Michigan Ozone Study. Atmospheric chemistry and physics. 23(14). 7935–7954. 3 indexed citations
4.
Ellenburg, W. L., Vikalp Mishra, J. Brent Roberts, et al.. (2021). Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach. Remote Sensing. 13(7). 1276–1276. 19 indexed citations
5.
Case, Jonathan L., et al.. (2020). Verification of the Convection-Allowing Ensemble System over the Hindu Kush Himalaya Region During the 2018 and 2019 Pre-Monsoon Severe Thunderstorm Seasons. 1 indexed citations
6.
Nair, U. S., Eric Rappin, Roger A. Pielke, et al.. (2019). Influence of Land Cover and Soil Moisture based Brown Ocean Effect on an Extreme Rainfall Event from a Louisiana Gulf Coast Tropical System. Scientific Reports. 9(1). 17136–17136. 27 indexed citations
7.
Case, Jonathan L., et al.. (2018). Impact of SMAP Soil Moisture Assimilation on Numerical Weather Forecasts over the Contiguous United States and East Africa. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
8.
Case, Jonathan L., Patrick Gatlin, Jordan R. Bell, et al.. (2018). Forecasting and Monitoring Intense Thunderstorms in the Hindu Kush Himalayan Region: Spring 2018 Forecasting Experiment. 3 indexed citations
9.
McDonough, Kelsey R., Stacy L. Hutchinson, J. M. Shawn Hutchinson, Jonathan L. Case, & Vahid Rahmani. (2018). Validation and assessment of SPoRT-LIS surface soil moisture estimates for water resources management applications. Journal of Hydrology. 566. 43–54. 14 indexed citations
10.
Kim, Jinwon, Bin Guan, Duane E. Waliser, et al.. (2017). Winter precipitation characteristics in western US related to atmospheric river landfalls: observations and model evaluations. Climate Dynamics. 50(1-2). 231–248. 23 indexed citations
11.
Case, Jonathan L., et al.. (2016). Assimilation of SMOS Retrievals in the Land Information System. IEEE Transactions on Geoscience and Remote Sensing. 54(11). 6320–6332. 25 indexed citations
12.
Zavodsky, Bradley, et al.. (2015). NASA SPoRT Modeling and Data Assimilation Research and Transition Activities. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
13.
Case, Jonathan L., et al.. (2014). Assimilation of SMOS Retrieved Soil Moisture into the Land Information System. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
14.
Case, Jonathan L., et al.. (2014). Assimilation of SMOS Soil Moisture Retrievals in the Land Information System. 2 indexed citations
15.
Molthan, Andrew, et al.. (2014). Clouds in the Cloud: Weather Forecasts and Applications within Cloud Computing Environments. Bulletin of the American Meteorological Society. 96(8). 1369–1379. 18 indexed citations
16.
Case, Jonathan L., et al.. (2013). The Utility of the Real-Time NASA Land Information System Data for Drought Monitoring Applications. 1 indexed citations
17.
Case, Jonathan L., et al.. (2009). The Transition of High-Resolution NASA MODIS Sea Surface Temperatures into the WRF Environmental Modeling System. 1 indexed citations
18.
Case, Jonathan L., et al.. (2005). A 7-Yr Climatological Study of Land Breezes over the Florida Spaceport. Journal of Applied Meteorology. 44(3). 340–356. 17 indexed citations
19.
Case, Jonathan L.. (2001). Impact of GPS-based water vapor fields on mesoscale model forecasts.
20.
Case, Jonathan L.. (2000). A sensitivity and benchmark study of RAMS in the Eastern Range Dispersion Assessment System. 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.

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