Hans Ngodock

1.2k total citations
36 papers, 448 citations indexed

About

Hans Ngodock is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Hans Ngodock has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oceanography, 29 papers in Atmospheric Science and 23 papers in Global and Planetary Change. Recurrent topics in Hans Ngodock's work include Oceanographic and Atmospheric Processes (26 papers), Meteorological Phenomena and Simulations (25 papers) and Climate variability and models (22 papers). Hans Ngodock is often cited by papers focused on Oceanographic and Atmospheric Processes (26 papers), Meteorological Phenomena and Simulations (25 papers) and Climate variability and models (22 papers). Hans Ngodock collaborates with scholars based in United States and France. Hans Ngodock's co-authors include Matthew J. Carrier, Gregg Jacobs, Scott Smith, Innocent Souopgui, Jacques Verron, François‐Xavier Le Dimet, Boon S. Chua, Andrew F. Bennett, Mark D. Orzech and B. L. Lipphardt and has published in prestigious journals such as The Journal of the Acoustical Society of America, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Hans Ngodock

35 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Ngodock United States 14 321 290 265 46 29 36 448
Santha Akella United States 10 186 0.6× 215 0.7× 196 0.7× 42 0.9× 36 1.2× 25 351
Boon S. Chua United States 11 294 0.9× 341 1.2× 286 1.1× 53 1.2× 28 1.0× 17 443
G. Kivman Germany 8 251 0.8× 221 0.8× 206 0.8× 29 0.6× 18 0.6× 14 403
Guangjun Xu China 10 363 1.1× 144 0.5× 176 0.7× 41 0.9× 19 0.7× 31 456
Ehouarn Simon France 9 193 0.6× 138 0.5× 197 0.7× 57 1.2× 32 1.1× 22 364
Isabelle Mirouze United Kingdom 10 458 1.4× 494 1.7× 516 1.9× 40 0.9× 13 0.4× 20 678
R. S. Bell United Kingdom 6 146 0.5× 515 1.8× 451 1.7× 61 1.3× 8 0.3× 8 634
Sujit Basu India 11 211 0.7× 186 0.6× 124 0.5× 87 1.9× 15 0.5× 34 357
A. J. Plueddemann United States 7 300 0.9× 229 0.8× 112 0.4× 9 0.2× 33 1.1× 13 432
Ziv Sirkes Israel 10 295 0.9× 209 0.7× 226 0.9× 14 0.3× 15 0.5× 15 403

Countries citing papers authored by Hans Ngodock

Since Specialization
Citations

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

Fields of papers citing papers by Hans Ngodock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Ngodock

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Ngodock. A scholar is included among the top collaborators of Hans Ngodock 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 Hans Ngodock. Hans Ngodock 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.
Ngodock, Hans, et al.. (2024). A comparison of two nonlinear data assimilation methods. Nonlinear processes in geophysics. 31(4). 463–476.
2.
Carrier, Matthew J., et al.. (2023). Impact of spatially-dense in-situ observations on ocean forecasts of mixed layer and thermocline depth. Journal of Operational Oceanography. 17(2). 103–123. 1 indexed citations
3.
Ngodock, Hans, et al.. (2020). An ensemble of perturbed analyses to approximate the analysis error covariance in 4dvar. Tellus A Dynamic Meteorology and Oceanography. 72(1). 1771069–1771069. 6 indexed citations
4.
Carrier, Matthew J., et al.. (2018). A Multiscale Approach to High-Resolution Ocean Profile Observations within a 4DVAR Analysis System. Monthly Weather Review. 147(2). 627–643. 12 indexed citations
5.
Ngodock, Hans, Matthew J. Carrier, Scott Smith, & Innocent Souopgui. (2017). Weak and Strong Constraints Variational Data Assimilation with the NCOM-4DVAR in the Agulhas Region Using the Representer Method. Monthly Weather Review. 145(5). 1755–1764. 4 indexed citations
6.
Souopgui, Innocent, Hans Ngodock, Matthew J. Carrier, & Scott Smith. (2017). A comparison of two preconditioner algorithms within the representer-based four-dimensional variational data assimilation system for the Navy coastal ocean model. Journal of Operational Oceanography. 10(2). 127–134. 1 indexed citations
7.
Souopgui, Innocent, et al.. (2016). Sensitivity analysis applied to a variational data assimilation of a simulated pollution transport problem. International Journal for Numerical Methods in Fluids. 83(5). 465–482. 6 indexed citations
8.
Carrier, Matthew J., et al.. (2016). Examining the Potential Impact of SWOT Observations in an Ocean Analysis–Forecasting System. Monthly Weather Review. 144(10). 3767–3782. 11 indexed citations
9.
Ngodock, Hans, Matthew J. Carrier, Innocent Souopgui, et al.. (2015). On the direct assimilation of along‐track sea‐surface height observations into a free‐surface ocean model using a weak constraints four‐dimensional variational (4D‐Var) method. Quarterly Journal of the Royal Meteorological Society. 142(695). 1160–1170. 7 indexed citations
10.
Ngodock, Hans, Innocent Souopgui, Alan J. Wallcraft, et al.. (2015). On improving the accuracy of the M2 barotropic tides embedded in a high-resolution global ocean circulation model. Ocean Modelling. 97. 16–26. 34 indexed citations
11.
Souopgui, Innocent, et al.. (2015). Incremental projection approach of regularization for inverse problems. Applied Mathematics & Optimization. 74(2). 303–324. 3 indexed citations
12.
Veeramony, J., et al.. (2013). Validation of a Wave Data Assimilation System Based on SWAN. EGU General Assembly Conference Abstracts. 1 indexed citations
13.
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
14.
Orzech, Mark D., J. Veeramony, & Hans Ngodock. (2013). A Variational Assimilation System for Nearshore Wave Modeling. Journal of Atmospheric and Oceanic Technology. 30(5). 953–970. 19 indexed citations
15.
Veeramony, J., Mark D. Orzech, Hans Ngodock, & Stylianos Flampouris. (2012). Towards an Operational Nearshore Wave Data Assimilation System. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
16.
Carrier, Matthew J. & Hans Ngodock. (2010). Background-error correlation model based on the implicit solution of a diffusion equation. Ocean Modelling. 35(1-2). 45–53. 15 indexed citations
17.
Smith, Scott & Hans Ngodock. (2008). Cycling the Representer Method for 4D-variational data assimilation with the Navy Coastal Ocean Model. Ocean Modelling. 24(3-4). 92–107. 3 indexed citations
18.
Ngodock, Hans, Scott Smith, & Gregg Jacobs. (2007). Cycling the representer algorithm for variational data assimilation with a nonlinear reduced gravity ocean model. Ocean Modelling. 19(3-4). 101–111. 12 indexed citations
19.
Ngodock, Hans, Scott Smith, & Gregg Jacobs. (2007). Cycling the Representer Algorithm for Variational Data Assimilation with the Lorenz Attractor. Monthly Weather Review. 135(2). 373–386. 6 indexed citations
20.
Dimet, François‐Xavier Le, et al.. (1997). Sensitivity Analysis in Variational Data Assimilation (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). Journal of the Meteorological Society of Japan Ser II. 75(1B). 245–255. 61 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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