Gregg Jacobs

4.4k total citations
111 papers, 3.0k citations indexed

About

Gregg Jacobs is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Gregg Jacobs has authored 111 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Oceanography, 49 papers in Atmospheric Science and 43 papers in Global and Planetary Change. Recurrent topics in Gregg Jacobs's work include Oceanographic and Atmospheric Processes (96 papers), Ocean Waves and Remote Sensing (40 papers) and Climate variability and models (33 papers). Gregg Jacobs is often cited by papers focused on Oceanographic and Atmospheric Processes (96 papers), Ocean Waves and Remote Sensing (40 papers) and Climate variability and models (33 papers). Gregg Jacobs collaborates with scholars based in United States, South Korea and France. Gregg Jacobs's co-authors include William J. Teague, J. L. Mitchell, Henry Perkins, Harley E. Hurlburt, Paul A. Hwang, Helga S. Huntley, E. Joseph Metzger, A. D. Kirwan, J. W. Book and Charlie N. Barron and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Gregg Jacobs

106 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregg Jacobs United States 28 2.6k 1.3k 1.3k 238 227 111 3.0k
George R. Halliwell United States 30 3.2k 1.2× 1.9k 1.5× 1.9k 1.5× 339 1.4× 247 1.1× 55 3.8k
Ole Martin Smedstad United States 23 2.0k 0.8× 1.3k 1.0× 1.2k 0.9× 263 1.1× 101 0.4× 46 2.5k
Alan J. Wallcraft United States 38 3.8k 1.5× 2.5k 1.9× 1.9k 1.5× 309 1.3× 203 0.9× 117 4.4k
Yiquan Qi China 28 2.5k 1.0× 1.2k 0.9× 1.2k 0.9× 435 1.8× 245 1.1× 88 3.0k
Marie‐Hélène Rio France 24 2.3k 0.9× 1.2k 1.0× 1.0k 0.8× 176 0.7× 116 0.5× 50 2.6k
Youyu Lu Canada 25 1.4k 0.5× 733 0.6× 965 0.8× 266 1.1× 204 0.9× 95 2.0k
Christopher N. K. Mooers United States 26 2.1k 0.8× 1.0k 0.8× 1.1k 0.9× 293 1.2× 317 1.4× 99 2.6k
Gustavo Goñi United States 33 3.2k 1.2× 2.4k 1.8× 2.3k 1.8× 338 1.4× 223 1.0× 110 4.0k
Qiang Xie China 28 1.8k 0.7× 1.1k 0.8× 1.0k 0.8× 208 0.9× 227 1.0× 128 2.5k
Andrey Shcherbina United States 23 1.3k 0.5× 507 0.4× 870 0.7× 128 0.5× 133 0.6× 51 1.7k

Countries citing papers authored by Gregg Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Gregg Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregg Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Gregg Jacobs. A scholar is included among the top collaborators of Gregg Jacobs 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 Gregg Jacobs. Gregg Jacobs 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.
Jacobs, Gregg, et al.. (2025). SWOT Cross‐Track Error Characteristics Estimated From Observations. Journal of Geophysical Research Oceans. 130(2). 1 indexed citations
2.
Jacobs, Gregg, et al.. (2023). Adapting constrained scales to observation resolution in ocean forecasts. Ocean Modelling. 186. 102252–102252. 2 indexed citations
3.
Bendich, Paul, et al.. (2022). Topological Feature Tracking for Submesoscale Eddies. Geophysical Research Letters. 49(20).
4.
Thoppil, Prasad G., Sergey Frolov, Clark Rowley, et al.. (2021). Ensemble forecasting greatly expands the prediction horizon for ocean mesoscale variability. Communications Earth & Environment. 2(1). 23 indexed citations
5.
Haza, Angelique C., Nathan Paldor, Tamay M. Özgökmen, et al.. (2019). Wind‐Based Estimations of Ocean Surface Currents From Massive Clusters of Drifters in the Gulf of Mexico. Journal of Geophysical Research Oceans. 124(8). 5844–5869. 9 indexed citations
6.
D’Asaro, Eric A., Andrey Shcherbina, Jody Klymak, et al.. (2018). Ocean convergence and the dispersion of flotsam. Proceedings of the National Academy of Sciences. 115(6). 1162–1167. 206 indexed citations
7.
Arnone, Robert, Ryan Vandermeulen, Inia Soto, et al.. (2016). Ocean Weather: Interaction of Physical and Bio-Optical Processes Across a River Plume Dominated Shelf In the Gulf of Mexico. Aquila Digital Community (University of Southern Mississippi). 2016. 2 indexed citations
8.
Jacobs, Gregg, James G. Richman, James D. Doyle, et al.. (2014). Simulating conditional deterministic predictability within ocean frontogenesis. Ocean Modelling. 78. 1–16. 18 indexed citations
9.
Carrier, Matthew J., Hans Ngodock, Scott Smith, et al.. (2013). Impact of Assimilating Ocean Velocity Observations Inferred from Lagrangian Drifter Data Using the NCOM-4DVAR*. Monthly Weather Review. 142(4). 1509–1524. 32 indexed citations
10.
Wei, Mozheng, Gregg Jacobs, Clark Rowley, et al.. (2013). The performance of the US Navy's RELO ensemble, NCOM, HYCOM during the period of GLAD at-sea experiment in the Gulf of Mexico. Deep Sea Research Part II Topical Studies in Oceanography. 129. 374–393. 19 indexed citations
11.
Jacobs, Gregg, et al.. (2011). GyroLAG—fluxgate magnetic total field, vectors, and tensors mapping. The Leading Edge. 30(6). 674–680. 1 indexed citations
12.
Hurlburt, Harley E., Gary B. Brassington, Yann Drillet, et al.. (2009). High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts. Oceanography. 22(3). 110–127. 53 indexed citations
13.
Traon, Pierre‐Yves Le, G. Larnicol, S. Guinehut, et al.. (2009). Data assembly and processing for operational oceanography: 10 years of achievements [In: Special Issue on the Revolution of Global Ocean Forecasting - GODAE: 10 Years of Achievement]. Scientific American. 225(2). 74–81. 5 indexed citations
14.
Coelho, Emanuel, et al.. (2009). A note on NCOM temperature forecast error calibration using the ensemble transform. Journal of Marine Systems. 78. S272–S281. 14 indexed citations
15.
Teague, William J., Dong S. Ko, Gregg Jacobs, et al.. (2006). Currents Through the Korea/Tsushima Strait: A Review of LINKS Observations. Oceanography. 19(3). 50–63. 22 indexed citations
16.
Jacobs, Gregg, et al.. (2004). Altimeter Signal-to-Noise for Deep Ocean Processes in Operational Systems. Marine Geodesy. 27(3-4). 433–451. 3 indexed citations
17.
18.
Johns, William E., et al.. (1999). Arabian Marginal Seas and Gulfs. Defense Technical Information Center (DTIC). 12 indexed citations
19.
Jacobs, Gregg, et al.. (1999). Navy Altimeter Data Requirements.. Defense Technical Information Center (DTIC). 4 indexed citations
20.
Smedstad, Ole Martin, Daniel N. Fox, Harley E. Hurlburt, et al.. (1997). Altimeter Data Assimilation into a 1/8° Eddy Resolving Model of the Pacific Ocean (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). Journal of the Meteorological Society of Japan Ser II. 75(1B). 429–444. 12 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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