David Ullman

1.9k total citations
61 papers, 1.5k citations indexed

About

David Ullman is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, David Ullman has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oceanography, 21 papers in Atmospheric Science and 17 papers in Global and Planetary Change. Recurrent topics in David Ullman's work include Oceanographic and Atmospheric Processes (34 papers), Marine and coastal ecosystems (15 papers) and Tropical and Extratropical Cyclones Research (14 papers). David Ullman is often cited by papers focused on Oceanographic and Atmospheric Processes (34 papers), Marine and coastal ecosystems (15 papers) and Tropical and Extratropical Cyclones Research (14 papers). David Ullman collaborates with scholars based in United States, Canada and South Korea. David Ullman's co-authors include Peter Cornillon, Howard Sprecher, Daniel L. Codiga, D. Hebert, Robert E. Wilson, James O’Donnell, Rik Wanninkhof, David T. Ho, Josh Kohut and A A Allen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Limnology and Oceanography.

In The Last Decade

David Ullman

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Ullman United States	23	1.1k	474	450	197	92	61	1.5k
Teruhisa Shimada Japan	18	432 0.4×	401 0.8×	322 0.7×	139 0.7×	53 0.6×	55	1.0k
Yuanlong Li China	29	2.0k 1.8×	1.5k 3.2×	792 1.8×	99 0.5×	39 0.4×	117	2.5k
Susanne Mecklenburg Italy	21	617 0.6×	763 1.6×	2.9k 6.5×	191 1.0×	18 0.2×	44	4.3k
David J. Lorenz United States	24	527 0.5×	1.7k 3.7×	1.5k 3.3×	151 0.8×	6 0.1×	64	2.4k
Hideo Kawai Japan	15	317 0.3×	187 0.4×	144 0.3×	120 0.6×	15 0.2×	84	819
Qinghua Ye China	29	222 0.2×	599 1.3×	1.2k 2.6×	250 1.3×	115 1.3×	95	2.4k
I. S. Robinson United Kingdom	13	676 0.6×	377 0.8×	346 0.8×	182 0.9×	102 1.1×	30	959
Jeonghoon Lee South Korea	21	104 0.1×	431 0.9×	600 1.3×	181 0.9×	20 0.2×	175	1.6k
Mohammad J. Tourian Germany	24	642 0.6×	1.1k 2.4×	246 0.5×	205 1.0×	33 0.4×	66	1.8k

Countries citing papers authored by David Ullman

Since Specialization

Citations

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

Fields of papers citing papers by David Ullman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ullman

This figure shows the co-authorship network connecting the top 25 collaborators of David Ullman. A scholar is included among the top collaborators of David Ullman 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 Ullman. David Ullman 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

Hogan, Lindsay, Christopher J. Zappa, Alejandro Cifuentes‐Lorenzen, et al.. (2025). Observations of Breaking Wave Dissipation and Their Relationship to Atmosphere‐Ocean Energy Transfer. Journal of Geophysical Research Oceans. 130(6).

Fox‐Kemper, Baylor, et al.. (2024). Internal Versus Forced Variability Metrics for General Circulation Models Using Information Theory. Journal of Geophysical Research Oceans. 129(5).

Cifuentes‐Lorenzen, Alejandro, Christopher J. Zappa, James B. Edson, James O’Donnell, & David Ullman. (2024). Exploring the Role of Wave‐Driven Turbulence at the Air‐Sea Interface Through Measurements of TKE Dissipation Rates Across the Air‐Sea Interface. Journal of Geophysical Research Oceans. 129(8). 1 indexed citations

Fox‐Kemper, Baylor, et al.. (2021). Consistent Predictability of the Ocean State Ocean Model Using Information Theory and Flushing Timescales. Journal of Geophysical Research Oceans. 126(7). 6 indexed citations

Fox‐Kemper, Baylor, et al.. (2020). Internal vs Forced Variability Metrics for Geophysical Flows Using Information Theory. 1 indexed citations

Meyer, Walter J., et al.. (2020). Virtual Reality Analgesia With Interactive Eye Tracking During Brief Thermal Pain Stimuli: A Randomized Controlled Trial (Crossover Design). Frontiers in Human Neuroscience. 13. 467–467. 31 indexed citations

Ginis, Isaac, et al.. (2018). Real-Time Chronological Hazard Impact Modeling. Journal of Marine Science and Engineering. 6(4). 134–134. 9 indexed citations

Rothstein, Lewis M., et al.. (2016). Dynamics of the periphery current in Rhode Island Sound. Ocean Modelling. 105. 13–24. 3 indexed citations

Ullman, David, Daniel L. Codiga, Anna Pfeiffer-Herbert, & C. R. Kincaid. (2014). An anomalous near-bottom cross-shelf intrusion of slope water on the southern New England continental shelf. Journal of Geophysical Research Oceans. 119(3). 1739–1753. 22 indexed citations

10.

Wang, Dong-Ping, et al.. (2008). Model of the Long Island Sound outflow: Comparison with year-long HF radar and Doppler current observations. Continental Shelf Research. 28(14). 1791–1799. 4 indexed citations

11.

Fjermestad, Jerry, Katia Passerini, Karen Patten, Michael R. Bartolacci, & David Ullman. (2005). Moving Towards Mobile Third Generation Telecommunication Standards: The Good and Bad of the 'Anytime/Anywhere' Solutions.. Journal of the Association for Information Systems. 399. 1 indexed citations

12.

O’Donnell, James, et al.. (2005). Integration of Coastal Ocean Dynamics Application Radar (CODAR) and Short-Term Predictive System (STPS): Surface Current Estimates into the Search and Rescue Optimal Planning System (SAROPS). Defense Technical Information Center (DTIC). 25 indexed citations

13.

Tumer, Irem Y., et al.. (2005). An Information-Exchange Tool for Capturing and Communicating Decisions During Early-Phase Design and Concept Evaluation. 125–131. 3 indexed citations

14.

Ullman, David, et al.. (2005). Seamless access to surface current vectors from the IOOS HF radar backbone. 949–952 Vol. 1. 3 indexed citations

15.

Belkin, Igor M., Peter Cornillon, & David Ullman. (2003). OCEAN FRONTS AROUND ALASKA FROM SATELLITE SST DATA. 21 indexed citations

16.

Ullman, David, A Dale, Dave Hebert, & John A. Barth. (2003). The front on the Northern Flank of Georges Bank in spring: 2. Cross‐frontal fluxes and mixing. Journal of Geophysical Research Atmospheres. 108(C11). 19 indexed citations

17.

Ullman, David & Peter Cornillon. (2001). Continental shelf surface thermal fronts in winter off the northeast US coast. Continental Shelf Research. 21(11-12). 1139–1156. 56 indexed citations

18.

Bokuniewicz, Henry & David Ullman. (1995). Turbidity Distribution in the Hudson River Estuary. Academic Commons (Stony Brook University). 1 indexed citations

19.

Ullman, David & Henry R. Velkoff. (1979). An Introduction to the Variable Inertia Flywheel (VIF). Journal of Applied Mechanics. 46(1). 186–190. 15 indexed citations

20.

Ullman, David, et al.. (1969). Reactions of quinones with ylides. Tetrahedron Letters. 10(6). 457–461. 42 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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