David M. Schultz

10.1k total citations
250 papers, 6.5k citations indexed

About

David M. Schultz is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David M. Schultz has authored 250 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Atmospheric Science, 167 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in David M. Schultz's work include Meteorological Phenomena and Simulations (140 papers), Climate variability and models (126 papers) and Tropical and Extratropical Cyclones Research (66 papers). David M. Schultz is often cited by papers focused on Meteorological Phenomena and Simulations (140 papers), Climate variability and models (126 papers) and Tropical and Extratropical Cyclones Research (66 papers). David M. Schultz collaborates with scholars based in United Kingdom, United States and Finland. David M. Schultz's co-authors include Peter C. Banacos, Paul J. Roebber, Lance F. Bosart, Philip N. Schumacher, G. Vaughan, Harold E. Brooks, Charles A. Doswell, Brian A. Colle, W. Edward Bracken and Bogdan Antonescu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David M. Schultz

239 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Schultz United Kingdom 43 4.8k 4.3k 597 561 261 250 6.5k
Steven D. Miller United States 39 4.7k 1.0× 5.6k 1.3× 723 1.2× 351 0.6× 677 2.6× 201 8.1k
Qiang Zhang China 49 2.7k 0.6× 5.1k 1.2× 1.1k 1.9× 606 1.1× 43 0.2× 313 7.9k
Tetsuji Yamada Japan 31 6.0k 1.2× 4.7k 1.1× 1.8k 3.0× 3.8k 6.8× 177 0.7× 173 10.4k
Xiao Cheng China 33 2.5k 0.5× 1.7k 0.4× 985 1.6× 299 0.5× 29 0.1× 276 5.1k
K. Takahashi Japan 33 3.2k 0.7× 4.3k 1.0× 145 0.2× 1.9k 3.4× 62 0.2× 157 6.4k
Robert Pincus United States 42 7.3k 1.5× 7.6k 1.7× 347 0.6× 573 1.0× 145 0.6× 130 8.9k
Lin Wang China 46 6.2k 1.3× 6.5k 1.5× 463 0.8× 1.9k 3.4× 73 0.3× 281 8.6k
David D. Turner United States 51 7.7k 1.6× 7.4k 1.7× 780 1.3× 352 0.6× 268 1.0× 325 9.9k
Haishan Chen China 41 3.3k 0.7× 4.8k 1.1× 741 1.2× 486 0.9× 76 0.3× 341 6.4k

Countries citing papers authored by David M. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by David M. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Schultz. 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 David M. Schultz. The network helps show where David M. Schultz may publish in the future.

Co-authorship network of co-authors of David M. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Schultz. A scholar is included among the top collaborators of David M. Schultz 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 David M. Schultz. David M. Schultz 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.
Schultz, David M., et al.. (2025). A within-host birth–death and time–dose–response model for Legionnaires’ disease. Royal Society Open Science. 12(7). 250226–250226.
2.
Schultz, David M., et al.. (2025). Impacts of the Po River on Adriatic Sea Hydrodynamics and Interbasin Exchanges. Journal of Geophysical Research Oceans. 130(7). 3 indexed citations
3.
Schultz, David M., et al.. (2025). Creating a national urban flood dataset for China from news texts (2000–2022) at the county level. Hydrology and earth system sciences. 29(3). 767–783. 2 indexed citations
4.
Schultz, David M., et al.. (2025). Rethinking the Spanish plume: An airstream analysis challenges the canonical conceptual model. Quarterly Journal of the Royal Meteorological Society. 151(773).
5.
Schultz, David M., et al.. (2025). Higher-harmonic contributions to surface elevation, kinematics, and wave loads in wave packets across an abrupt depth transition. Coastal Engineering. 197. 104693–104693. 3 indexed citations
6.
Ouro, Pablo, Alona Armstrong, Barbara Brooks, et al.. (2024). Environmental impacts from large-scale offshore renewable-energy deployment. Environmental Research Letters. 19(6). 63001–63001. 10 indexed citations
7.
Stallard, Tim, et al.. (2024). Sensitivity of the Prediction of Wind Turbine Wakes to the Sub-Grid Scale Model. Journal of Physics Conference Series. 2767(9). 92106–92106. 4 indexed citations
8.
Cunningham, Lee S., et al.. (2024). Structural Resilience of Pole-Mounted Substations Subjected to Flooding: Generalized Framework and a Malaysian Case Study. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 10(2). 2 indexed citations
9.
Oleson, Keith W., et al.. (2024). Improving Urban Climate Adaptation Modeling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation. Journal of Advances in Modeling Earth Systems. 16(12). 4 indexed citations
10.
Schultz, David M., et al.. (2024). Climatology of large hail in Europe: characteristics of the European Severe Weather Database. Natural hazards and earth system sciences. 24(4). 1079–1098. 9 indexed citations
11.
Schultz, David M., et al.. (2024). Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis. JMIR mhealth and uhealth. 12. e48582–e48582. 1 indexed citations
12.
Dalagnol, Ricardo, Lênio Soares Galvão, Bruce Nelson, et al.. (2023). Assessing the Magnitude of the Amazonian Forest Blowdowns and Post-Disturbance Recovery Using Landsat-8 and Time Series of PlanetScope Satellite Constellation Data. Remote Sensing. 15(12). 3196–3196. 3 indexed citations
13.
Tan, Ling & David M. Schultz. (2023). Weather Effects on the Spread of COVID-19: Characteristics and Critical Analysis of the First and Second Years of Scientific Research. Bulletin of the American Meteorological Society. 104(8). E1345–E1371. 3 indexed citations
14.
Schultz, David M., Anna L. Beukenhorst, Belay Birlie Yimer, et al.. (2020). Weather Patterns Associated with Pain in Chronic-Pain Sufferers. Bulletin of the American Meteorological Society. 101(5). E555–E566. 15 indexed citations
15.
Schultz, David M., et al.. (2019). Extreme sensitivity in Snowball Earth formation to mountains on PaleoProterozoic supercontinents. Scientific Reports. 9(1). 2349–2349. 11 indexed citations
16.
Druce, Katie L., John McBeth, Sabine N van der Veer, et al.. (2017). Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study. JMIR mhealth and uhealth. 5(11). e168–e168. 39 indexed citations
17.
18.
Schultz, David M.. (2014). Market Share Liability in DES Cases: The Unwarranted Erosion of Causation in Fact. ˜The œDe Paul law review. 40(3). 771. 1 indexed citations
19.
Brocklehurst, S. H., et al.. (2011). Orographic precipitation, wind-blown snow, and landscape evolution in glaciated mountain ranges. AGU Fall Meeting Abstracts. 2011.
20.
Schultz, David M. & Robert J. Trapp. (2002). Preliminary Results From The Intermountain Precipitation Experiment (ipex). EGS General Assembly Conference Abstracts. 658. 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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