Innocent Souopgui

561 total citations
23 papers, 216 citations indexed

About

Innocent Souopgui is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Innocent Souopgui has authored 23 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Oceanography and 11 papers in Global and Planetary Change. Recurrent topics in Innocent Souopgui's work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (9 papers) and Oceanographic and Atmospheric Processes (9 papers). Innocent Souopgui is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Climate variability and models (9 papers) and Oceanographic and Atmospheric Processes (9 papers). Innocent Souopgui collaborates with scholars based in United States, France and Cameroon. Innocent Souopgui's co-authors include Hans Ngodock, Gregg Jacobs, Scott Smith, Matthew J. Carrier, Arthur Vidard, Max Yaremchuk, François‐Xavier Le Dimet, Jay F. Shriver, James G. Richman and Brian K. Arbic and has published in prestigious journals such as Journal of Computational Physics, The Journal of the Acoustical Society of America and Monthly Weather Review.

In The Last Decade

Innocent Souopgui

20 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Innocent Souopgui United States 9 149 120 116 22 17 23 216
Wayne Bresky United States 9 103 0.7× 310 2.6× 388 3.3× 35 1.6× 9 0.5× 15 431
Gyorgyi Gyarmati United States 9 75 0.5× 302 2.5× 324 2.8× 57 2.6× 4 0.2× 15 390
E. I. Parmuzin Russia 9 146 1.0× 67 0.6× 150 1.3× 6 0.3× 16 0.9× 49 267
Yair Cohen United States 9 49 0.3× 142 1.2× 172 1.5× 47 2.1× 18 1.1× 20 226
Lodovica Illari United Kingdom 8 133 0.9× 264 2.2× 275 2.4× 13 0.6× 11 0.6× 12 328
Danyu Qin China 10 31 0.2× 194 1.6× 223 1.9× 37 1.7× 4 0.2× 28 338
Laura Stewart United Kingdom 8 38 0.3× 241 2.0× 263 2.3× 59 2.7× 3 0.2× 8 303
Feifan Zhou China 10 110 0.7× 309 2.6× 361 3.1× 46 2.1× 5 0.3× 25 413
Alison Fowler United Kingdom 9 45 0.3× 163 1.4× 178 1.5× 40 1.8× 8 0.5× 21 265
Yunchang Cao China 11 219 1.5× 50 0.4× 121 1.0× 96 4.4× 3 0.2× 31 341

Countries citing papers authored by Innocent Souopgui

Since Specialization
Citations

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

Fields of papers citing papers by Innocent Souopgui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Innocent Souopgui

This figure shows the co-authorship network connecting the top 25 collaborators of Innocent Souopgui. A scholar is included among the top collaborators of Innocent Souopgui 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 Innocent Souopgui. Innocent Souopgui 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.
Souopgui, Innocent, et al.. (2025). Leveraging Large Language Models for Wind Energy Assessment. Proceedings of the AAAI Conference on Artificial Intelligence. 39(28). 29315–29316.
2.
Ngodock, Hans, et al.. (2024). A comparison of two nonlinear data assimilation methods. Nonlinear processes in geophysics. 31(4). 463–476.
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.
Souopgui, Innocent, Clark Rowley, Scott Smith, et al.. (2020). Multi-scale assimilation of simulated SWOT observations. Ocean Modelling. 154. 101683–101683. 17 indexed citations
5.
Smith, Scott, Gregg Jacobs, Robert W. Helber, et al.. (2019). Quantifying wavelengths constrained by simulated SWOT observations in a submesoscale resolving ocean analysis/forecasting system. Ocean Modelling. 135. 40–55. 25 indexed citations
6.
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
7.
Smedstad, Lucy F., et al.. (2017). An updated system for guidance of heterogeneous platforms used for multiple gliders in a real-time experiment. AGUFM. 2017. 1 indexed citations
8.
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
9.
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
10.
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
11.
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
12.
Souopgui, Innocent, et al.. (2015). Toward the assimilation of images. Nonlinear processes in geophysics. 22(1). 15–32. 15 indexed citations
13.
Souopgui, Innocent, et al.. (2015). Space–time adaptive approach to variational data assimilation using wavelets. Journal of Computational Physics. 306. 253–268. 5 indexed citations
14.
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
15.
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
16.
Souopgui, Innocent, et al.. (2015). Incremental projection approach of regularization for inverse problems. Applied Mathematics & Optimization. 74(2). 303–324. 3 indexed citations
17.
Vidard, Arthur, et al.. (2010). Assimilation of image sequences in numerical models. Tellus A Dynamic Meteorology and Oceanography. 2 indexed citations
18.
Souopgui, Innocent, François‐Xavier Le Dimet, & Arthur Vidard. (2009). Vector field regularization by generalized diffusion. HAL (Le Centre pour la Communication Scientifique Directe). 20. 2 indexed citations
19.
Vidard, Arthur, et al.. (2009). Assimilation of image sequences in numerical models. Tellus A Dynamic Meteorology and Oceanography. 62(1). 30–30. 25 indexed citations
20.
Vidard, Arthur, et al.. (2008). Assimilation of Images in Numerical Models in Geophysics. HAL (Le Centre pour la Communication Scientifique Directe).

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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