Craig S. Schwartz

5.4k total citations
64 papers, 3.1k citations indexed

About

Craig S. Schwartz is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Craig S. Schwartz has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Craig S. Schwartz's work include Meteorological Phenomena and Simulations (53 papers), Climate variability and models (47 papers) and Tropical and Extratropical Cyclones Research (13 papers). Craig S. Schwartz is often cited by papers focused on Meteorological Phenomena and Simulations (53 papers), Climate variability and models (47 papers) and Tropical and Extratropical Cyclones Research (13 papers). Craig S. Schwartz collaborates with scholars based in United States, China and Taiwan. Craig S. Schwartz's co-authors include Morris L. Weisman, Zhiquan Liu, Ryan A. Sobash, Glen S. Romine, Kathryn R. Fossell, John S. Kain, Kevin W. Thomas, Jason J. Levit, Steven J. Weiss and David R. Bright and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

Craig S. Schwartz

63 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig S. Schwartz United States	29	3.0k	2.8k	439	141	87	64	3.1k
Humphrey Lean United Kingdom	20	2.4k 0.8×	2.3k 0.8×	405 0.9×	34 0.2×	88 1.0×	52	2.6k
Jocelyn Mailhot Canada	26	1.7k 0.6×	1.3k 0.5×	471 1.1×	91 0.6×	181 2.1×	52	1.9k
Wen‐Yih Sun United States	18	1.2k 0.4×	1.0k 0.4×	317 0.7×	52 0.4×	157 1.8×	65	1.5k
Éric Bazile France	20	1.3k 0.5×	1.1k 0.4×	358 0.8×	32 0.2×	70 0.8×	43	1.5k
Jaymes S. Kenyon United States	11	1.4k 0.5×	1.3k 0.5×	332 0.8×	44 0.3×	92 1.1×	22	1.7k
Ivanka Štajner United States	19	1.5k 0.5×	1.3k 0.5×	180 0.4×	255 1.8×	83 1.0×	48	1.7k
J. Chern United States	20	1.9k 0.6×	1.7k 0.6×	226 0.5×	240 1.7×	114 1.3×	44	2.0k
Hendrik Elbern Germany	19	1.6k 0.6×	1.4k 0.5×	322 0.7×	412 2.9×	33 0.4×	62	1.9k
Michel Roch Canada	15	2.0k 0.7×	1.6k 0.6×	253 0.6×	157 1.1×	257 3.0×	20	2.2k
Jean‐Christopher Lambert Belgium	25	1.8k 0.6×	1.6k 0.6×	244 0.6×	241 1.7×	52 0.6×	73	2.0k

Countries citing papers authored by Craig S. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Craig S. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig S. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Craig S. Schwartz. A scholar is included among the top collaborators of Craig S. Schwartz 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 Craig S. Schwartz. Craig S. Schwartz 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

Schwartz, Craig S., et al.. (2025). A First Step toward Global Ensemble-Based Data Assimilation at Convection-Allowing Scales Using MPAS and JEDI. Monthly Weather Review. 153(10). 2139–2166.

Schwartz, Craig S., et al.. (2025). Environmental Conditions and Forecast Error Evolution Associated with Synoptic Progressiveness Errors in GFS Forecasts. Weather and Forecasting. 40(7). 1103–1124. 1 indexed citations

Weisman, Morris L., Kevin W. Manning, Ryan A. Sobash, & Craig S. Schwartz. (2022). Simulations of Severe Convective Systems Using 1- versus 3-km Grid Spacing. Weather and Forecasting. 38(3). 401–423. 11 indexed citations

Schwartz, Craig S., et al.. (2020). Initial Conditions for Convection-Allowing Ensembles over the Conterminous United States. Monthly Weather Review. 148(7). 2645–2669. 15 indexed citations

Yang, Jaemo, Marina Astitha, & Craig S. Schwartz. (2019). Assessment of Storm Wind Speed Prediction Using Gridded Bayesian Regression Applied to Historical Events With NCAR's Real‐Time Ensemble Forecast System. Journal of Geophysical Research Atmospheres. 124(16). 9241–9261. 6 indexed citations

Yang, Jian, Marina Astitha, & Craig S. Schwartz. (2017). Improvement of Storm Forecasts Using Gridded Bayesian Linear Regression for Northeast United States. AGUFM. 2017. 1 indexed citations

Schwartz, Craig S. & Ryan A. Sobash. (2017). Generating Probabilistic Forecasts from Convection-Allowing Ensembles Using Neighborhood Approaches: A Review and Recommendations. Monthly Weather Review. 145(9). 3397–3418. 130 indexed citations

Cerrai, Diego, Emmanouil N. Anagnostou, David W. Wanik, et al.. (2016). Enhanced outage prediction modeling for strong extratropical storms and hurricanes in the Northeastern United States. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

Romine, Glen S., Craig S. Schwartz, Ryan D. Torn, & Morris L. Weisman. (2016). Impact of Assimilating Dropsonde Observations from MPEX on Ensemble Forecasts of Severe Weather Events. Monthly Weather Review. 144(10). 3799–3823. 23 indexed citations

10.

Sobash, Ryan A., Glen S. Romine, Craig S. Schwartz, David John Gagne, & Morris L. Weisman. (2016). Explicit Forecasts of Low-Level Rotation from Convection-Allowing Models for Next-Day Tornado Prediction. Weather and Forecasting. 31(5). 1591–1614. 44 indexed citations

11.

Schwartz, Craig S., et al.. (2015). Evaluating Forecast Impact of Assimilating Microwave Humidity Sounder (MHS) Radiances with a Regional Ensemble Kalman Filter Data Assimilation System. Weather and Forecasting. 30(4). 964–983. 23 indexed citations

12.

Golombek, M., et al.. (2014). Final Four Landing Sites for the InSight Geophysical Lander. Lunar and Planetary Science Conference. 1499. 6 indexed citations

13.

Pagowski, Mariusz, et al.. (2014). Implementation of aerosol assimilation in Gridpoint Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1). Geoscientific model development. 7(4). 1621–1627. 41 indexed citations

14.

Schwartz, Craig S., et al.. (2014). The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States. Geoscientific model development. 7(6). 2709–2715. 32 indexed citations

15.

Saide, Pablo E., Gregory R. Carmichael, Craig S. Schwartz, et al.. (2013). Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale analyses and forecasts. Atmospheric chemistry and physics. 13(20). 10425–10444. 76 indexed citations

16.

Schwartz, Craig S., Zhiquan Liu, Xiang‐Yu Huang, Ying‐Hwa Kuo, & Chin–Tzu Fong. (2013). Comparing Limited-Area 3DVAR and Hybrid Variational-Ensemble Data Assimilation Methods for Typhoon Track Forecasts: Sensitivity to Outer Loops and Vortex Relocation. Monthly Weather Review. 141(12). 4350–4372. 47 indexed citations

17.

Schwartz, Craig S. & Zhiquan Liu. (2013). Convection-Permitting Forecasts Initialized with Continuously Cycling Limited-Area 3DVAR, Ensemble Kalman Filter, and “Hybrid” Variational–Ensemble Data Assimilation Systems. Monthly Weather Review. 142(2). 716–738. 60 indexed citations

18.

Liu, Zhiquan, Craig S. Schwartz, Chris Snyder, & Soyoung Ha. (2012). Impact of Assimilating AMSU-A Radiances on Forecasts of 2008 Atlantic Tropical Cyclones Initialized with a Limited-Area Ensemble Kalman Filter. Monthly Weather Review. 140(12). 4017–4034. 102 indexed citations

19.

Kain, John S., Steven J. Weiss, David R. Bright, et al.. (2008). Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Weather and Forecasting. 1210162945–1210162945. 14 indexed citations

20.

Perkins, Steve, et al.. (2005). Modeling Effects on Reinforcement of Lateral Confinement of Roadway Aggregate. 1–14. 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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