Hind Oubanas

477 total citations
12 papers, 179 citations indexed

About

Hind Oubanas is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Hind Oubanas has authored 12 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Water Science and Technology and 7 papers in Ecology. Recurrent topics in Hind Oubanas's work include Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrology and Sediment Transport Processes (7 papers). Hind Oubanas is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrology and Sediment Transport Processes (7 papers). Hind Oubanas collaborates with scholars based in France, Russia and United States. Hind Oubanas's co-authors include Pierre‐Olivier Malaterre, Igor Gejadze, Franck Mercier, Michael Durand, Renato Prata de Moraes Frasson, Alessio Domeneghetti, Rui Wei, V. P. Shutyaev, Kévin Larnier and Pierre‐André Garambois and has published in prestigious journals such as Water Resources Research, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

Hind Oubanas

10 papers receiving 178 citations

Peers

Hind Oubanas

GPC

WST

ECOLO

OCEAN

Petra Hulsman Netherlands

Xiaolong Liu China

Yohanes Budi Sulistioadi Indonesia

Mira Kobold Slovenia

Stephen Turner United Kingdom

A. Ghulam China

Guiomar Ruiz-Pérez Sweden

Zezhong Zhang China

Feng Zhong China

Aakash Ahamed United States

Petra Hulsman Netherlands

Hind Oubanas

186 ×1.2

GPC

136 ×1.1

WST

28 ×0.3

ECOLO

49 ×2.0

26 ×1.2

OCEAN

Citations per year, relative to Hind Oubanas Hind Oubanas (= 1×) peers Petra Hulsman

Countries citing papers authored by Hind Oubanas

Since Specialization

Citations

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

Fields of papers citing papers by Hind Oubanas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hind Oubanas

This figure shows the co-authorship network connecting the top 25 collaborators of Hind Oubanas. A scholar is included among the top collaborators of Hind Oubanas 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 Hind Oubanas. Hind Oubanas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

David, Cédric H., et al.. (2025). Bidirectional Translations Between Observational and Topography‐Based Hydrographic Data Sets: MERIT‐Basins and the SWOT River Database (SWORD). Water Resources Research. 61(5). 2 indexed citations

Fatras, Christophe, et al.. (2025). Reconstruction of Effective Cross-Sections from DEMs and Water Surface Elevation. Remote Sensing. 17(6). 1020–1020.

Dhote, Pankaj R., Ankit Agarwal, Adrien Paris, et al.. (2025). Unveiling the First Impressions of the Wide‐Swath Altimetry SWOT Mission Over the Ganga River, India. Geophysical Research Letters. 52(19). 1 indexed citations

Dhote, Pankaj R., Ankit Agarwal, Stéphane Calmant, et al.. (2024). River Water Level and Water Surface Slope Measurement From Spaceborne Radar and LiDAR Altimetry: Evaluation and Implications for Hydrological Studies in the Ganga River. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7825–7840. 7 indexed citations

Gejadze, Igor, V. P. Shutyaev, Hind Oubanas, & Pierre‐Olivier Malaterre. (2023). A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality). Journal of Computational Physics. 488. 112239–112239.

Gejadze, Igor, Pierre‐Olivier Malaterre, Hind Oubanas, & V. P. Shutyaev. (2022). A new robust discharge estimation method applied in the context of SWOT satellite data processing. Journal of Hydrology. 610. 127909–127909. 12 indexed citations

Oubanas, Hind, et al.. (2022). Variational data assimilation to improve subsurface drainage model parameters. Journal of Hydrology. 610. 128006–128006. 5 indexed citations

Frasson, Renato Prata de Moraes, Michael Durand, Kévin Larnier, et al.. (2021). Exploring the Factors Controlling the Error Characteristics of the Surface Water and Ocean Topography Mission Discharge Estimates. Water Resources Research. 57(6). 24 indexed citations

Oubanas, Hind, Igor Gejadze, Pierre‐Olivier Malaterre, & Franck Mercier. (2018). River discharge estimation under uncertainty from synthetic SWOT-type observations using variational data assimilation. La Houille Blanche. 104(2). 84–89. 2 indexed citations

10.

Oubanas, Hind, Igor Gejadze, Pierre‐Olivier Malaterre, & Franck Mercier. (2018). River discharge estimation from synthetic SWOT-type observations using variational data assimilation and the full Saint-Venant hydraulic model. Journal of Hydrology. 559. 638–647. 58 indexed citations

11.

Oubanas, Hind, Igor Gejadze, Pierre‐Olivier Malaterre, et al.. (2018). Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission. Water Resources Research. 54(3). 2405–2423. 64 indexed citations

12.

Gejadze, Igor, Hind Oubanas, & V. P. Shutyaev. (2017). Implicit treatment of model error using inflated observation‐error covariance. Quarterly Journal of the Royal Meteorological Society. 143(707). 2496–2508. 4 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.

Explore authors with similar magnitude of impact