M. U. Altaf

645 total citations
22 papers, 426 citations indexed

About

M. U. Altaf is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, M. U. Altaf has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 7 papers in Environmental Engineering and 6 papers in Global and Planetary Change. Recurrent topics in M. U. Altaf's work include Meteorological Phenomena and Simulations (11 papers), Reservoir Engineering and Simulation Methods (5 papers) and Tropical and Extratropical Cyclones Research (5 papers). M. U. Altaf is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Reservoir Engineering and Simulation Methods (5 papers) and Tropical and Extratropical Cyclones Research (5 papers). M. U. Altaf collaborates with scholars based in Saudi Arabia, Netherlands and United States. M. U. Altaf's co-authors include Ibrahim Hoteit, Arnold Heemink, Matthew F. McCabe, Martin Verlaan, Clint Dawson, Troy Butler, Xiaodong Luo, Talea Mayo, Alexander Barth and Lars Nerger and has published in prestigious journals such as Monthly Weather Review, Computer Methods in Applied Mechanics and Engineering and Agricultural and Forest Meteorology.

In The Last Decade

M. U. Altaf

22 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. U. Altaf Saudi Arabia	12	198	137	93	83	59	22	426
E. Carmona Germany	10	144 0.7×	121 0.9×	89 1.0×	41 0.5×	24 0.4×	42	667
Van Thinh Nguyen South Korea	15	76 0.4×	150 1.1×	85 0.9×	87 1.0×	31 0.5×	64	636
Christian Werner Brazil	11	216 1.1×	230 1.7×	117 1.3×	43 0.5×	13 0.2×	52	521
Xiurui Geng China	17	532 2.7×	178 1.3×	99 1.1×	19 0.2×	18 0.3×	79	1.2k
James Wendelberger United States	2	134 0.7×	153 1.1×	64 0.7×	69 0.8×	12 0.2×	4	422
Redouane Lguensat France	11	187 0.9×	164 1.2×	75 0.8×	212 2.6×	52 0.9×	22	460
Karsten Schulz Germany	12	140 0.7×	90 0.7×	208 2.2×	26 0.3×	220 3.7×	75	726
Thomas Slawig Germany	14	128 0.6×	147 1.1×	25 0.3×	155 1.9×	15 0.3×	43	521
Kersten Schmidt Germany	16	384 1.9×	503 3.7×	177 1.9×	68 0.8×	33 0.6×	47	952
Kenzu Abdella Canada	14	234 1.2×	226 1.6×	62 0.7×	75 0.9×	8 0.1×	45	620

Countries citing papers authored by M. U. Altaf

Since Specialization

Citations

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

Fields of papers citing papers by M. U. Altaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. U. Altaf. 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 M. U. Altaf. The network helps show where M. U. Altaf may publish in the future.

Co-authorship network of co-authors of M. U. Altaf

This figure shows the co-authorship network connecting the top 25 collaborators of M. U. Altaf. A scholar is included among the top collaborators of M. U. Altaf 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 M. U. Altaf. M. U. Altaf 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

Ziliani, Matteo G., M. U. Altaf, Trenton E. Franz, et al.. (2025). A Bayesian framework for crop model calibration: A case study in the US Corn Belt. European Journal of Agronomy. 168. 127650–127650. 3 indexed citations

Farhadi, Leila, et al.. (2022). Estimation of Root Zone Soil Moisture Profile by Reduced-Order Variational Data Assimilation Using Near Surface Soil Moisture Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2394–2409. 4 indexed citations

López, Oliver, Kasper Johansen, B. Aragon, et al.. (2020). Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach. Hydrology and earth system sciences. 24(11). 5251–5277. 19 indexed citations

Ziliani, Matteo G., A. Ershadi, Bangyou Zheng, et al.. (2018). Corn-Yield Estimation through Assimilation of Remotely Sensed LAI Data into APSIM. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

Leeuwen, Peter Jan van, Lars Nerger, Alexander Barth, et al.. (2018). State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems. Tellus A Dynamic Meteorology and Oceanography. 70(1). 1445364–1445364. 76 indexed citations

Jadoon, Khan Zaib, M. U. Altaf, Matthew F. McCabe, et al.. (2017). Inferring soil salinity in a drip irrigation system from multi-configuration EMI measurements using adaptive Markov chain Monte Carlo. Hydrology and earth system sciences. 21(10). 5375–5383. 15 indexed citations

Altaf, M. U., et al.. (2017). Downscaling the 2D Bénard convection equations using continuous data assimilation. Computational Geosciences. 21(3). 393–410. 49 indexed citations

Huangfu, Yigeng, et al.. (2017). Nonlinear parameter optimization of PI observer for highly accurate SOC estimation of Li-ion batteries. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 5266–5273. 10 indexed citations

Velzen, Nils van, M. U. Altaf, & Martin Verlaan. (2016). OpenDA-NEMO framework for ocean data assimilation. Ocean Dynamics. 66(5). 691–702. 11 indexed citations

10.

Höllt, Thomas, M. U. Altaf, Kyle T. Mandli, et al.. (2015). Visualizing uncertainties in a storm surge ensemble data assimilation and forecasting system. Natural Hazards. 77(1). 317–336. 13 indexed citations

11.

Altaf, M. U., et al.. (2015). A study of reduced‐order 4DVAR with a finite element shallow water model. International Journal for Numerical Methods in Fluids. 80(11). 631–647. 11 indexed citations

12.

Altaf, M. U., et al.. (2014). Hybrid vs Adaptive Ensemble Kalman Filtering for Storm Surge Forecasting. 2014 AGU Fall Meeting. 2014. 3 indexed citations

13.

Altaf, M. U., Troy Butler, Talea Mayo, et al.. (2014). A Comparison of Ensemble Kalman Filters for Storm Surge Assimilation. Monthly Weather Review. 142(8). 2899–2914. 19 indexed citations

14.

Altaf, M. U., Troy Butler, Xiaodong Luo, et al.. (2013). Improving Short-Range Ensemble Kalman Storm Surge Forecasting Using Robust Adaptive Inflation. Monthly Weather Review. 141(8). 2705–2720. 19 indexed citations

15.

Altaf, M. U., Mohamad El Gharamti, Arnold Heemink, & Ibrahim Hoteit. (2012). A reduced adjoint approach to variational data assimilation. Computer Methods in Applied Mechanics and Engineering. 254. 1–13. 30 indexed citations

16.

Altaf, M. U.. (2011). Model reduced variational data assimilation for shallow water flow models. Research Repository (Delft University of Technology). 1–18. 7 indexed citations

17.

Altaf, M. U., Arnold Heemink, Martin Verlaan, & Ibrahim Hoteit. (2011). Simultaneous perturbation stochastic approximation for tidal models. Ocean Dynamics. 61(8). 1093–1105. 8 indexed citations

18.

Altaf, M. U., Martin Verlaan, & Arnold Heemink. (2011). Efficient identification of uncertain parameters in a large‐scale tidal model of the European continental shelf by proper orthogonal decomposition. International Journal for Numerical Methods in Fluids. 68(4). 422–450. 14 indexed citations

19.

Altaf, M. U., Arnold Heemink, & Martin Verlaan. (2009). Inverse Shallow-Water Flow Modeling Using Model Reduction. International Journal for Multiscale Computational Engineering. 7(6). 577–594. 18 indexed citations

20.

Litvak, Nelly, M. U. Altaf, Alina Barbu, et al.. (2008). Increasing detection performance of surveillance sensor networks. University of Twente Research Information. 85–115. 2 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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