Ihab Sraj

632 total citations
19 papers, 492 citations indexed

About

Ihab Sraj is a scholar working on Oceanography, Atmospheric Science and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ihab Sraj has authored 19 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oceanography, 6 papers in Atmospheric Science and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ihab Sraj's work include Oceanographic and Atmospheric Processes (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Tropical and Extratropical Cyclones Research (4 papers). Ihab Sraj is often cited by papers focused on Oceanographic and Atmospheric Processes (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Tropical and Extratropical Cyclones Research (4 papers). Ihab Sraj collaborates with scholars based in United States, Saudi Arabia and Lebanon. Ihab Sraj's co-authors include M. Darwish, F. Moukalled, Omar Knio, Charles D. Eggleton, W. C. Thacker, Ashwanth Srinivasan, David W. M. Marr, Mohamed Iskandarani, Justin Winokur and Ibrahim Hoteit and has published in prestigious journals such as Journal of Applied Physics, Journal of Computational Physics and Optics Express.

In The Last Decade

Ihab Sraj

19 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ihab Sraj United States 13 156 103 86 78 74 19 492
Raju Datla United States 11 309 2.0× 65 0.6× 37 0.4× 208 2.7× 45 0.6× 58 873
F. Sakuma Japan 12 117 0.8× 171 1.7× 120 1.4× 127 1.6× 14 0.2× 34 573
Kerstin Avila Germany 8 452 2.9× 86 0.8× 37 0.4× 49 0.6× 13 0.2× 18 757
Bingquan Chen China 10 28 0.2× 126 1.2× 15 0.2× 110 1.4× 29 0.4× 40 447
Gregory P. Chini United States 15 339 2.2× 84 0.8× 11 0.1× 138 1.8× 152 2.1× 46 624
Julian Scott France 13 538 3.4× 114 1.1× 6 0.1× 93 1.2× 87 1.2× 34 828
Enrico Priolo Italy 20 146 0.9× 40 0.4× 12 0.1× 19 0.2× 25 0.3× 61 1.5k
H.C. Hardee United States 17 157 1.0× 98 1.0× 38 0.4× 73 0.9× 8 0.1× 55 773
Andrea Franceschini Italy 13 93 0.6× 15 0.1× 13 0.2× 46 0.6× 16 0.2× 32 402

Countries citing papers authored by Ihab Sraj

Since Specialization
Citations

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

Fields of papers citing papers by Ihab Sraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ihab Sraj

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

All Works

19 of 19 papers shown
1.
Scovazzi, Guglielmo, et al.. (2018). A Finite Volume Error Estimator Inspired by the Variational Multiscale Approach. 3 indexed citations
2.
Sraj, Ihab, Kyle T. Mandli, Omar M. Knio, Clint Dawson, & Ibrahim Hoteit. (2017). Quantifying uncertainties in fault slip distribution during the Tōhoku tsunami using polynomial chaos. Ocean Dynamics. 67(12). 1535–1551. 8 indexed citations
3.
Mayo, Talea, Ihab Sraj, Omar Knio, et al.. (2017). Assessing an ensemble Kalman filter inference of Manning’s n coefficient of an idealized tidal inlet against a polynomial chaos-based MCMC. Ocean Dynamics. 67(8). 1067–1094. 13 indexed citations
4.
Sraj, Ihab, Sarah E. Zedler, Omar Knio, C. S. Jackson, & Ibrahim Hoteit. (2016). Polynomial Chaos–Based Bayesian Inference of K-Profile Parameterization in a General Circulation Model of the Tropical Pacific. Monthly Weather Review. 144(12). 4621–4640. 12 indexed citations
5.
Sraj, Ihab, Kyle T. Mandli, Omar M. Knio, Clint Dawson, & Ibrahim Hoteit. (2014). Uncertainty quantification and inference of Manning’s friction coefficients using DART buoy data during the Tōhoku tsunami. Ocean Modelling. 83. 82–97. 42 indexed citations
6.
Sraj, Ihab, Paul Specht, Naresh Thadhani, Timothy P. Weihs, & Omar Knio. (2014). Numerical simulation of shock initiation of Ni/Al multilayered composites. Journal of Applied Physics. 115(2). 19 indexed citations
7.
Winokur, Justin, Ihab Sraj, Omar Knio, et al.. (2013). A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
8.
Sraj, Ihab, et al.. (2013). Self‐Propagating Reactive Fronts in Compacts of Multilayered Particles. Journal of Nanomaterials. 2013(1). 13 indexed citations
9.
Sraj, Ihab, Mohamed Iskandarani, W. C. Thacker, Ashwanth Srinivasan, & Omar Knio. (2013). Drag Parameter Estimation Using Gradients and Hessian from a Polynomial Chaos Model Surrogate. Monthly Weather Review. 142(2). 933–941. 14 indexed citations
10.
Winokur, Justin, Patrick R. Conrad, Ihab Sraj, et al.. (2013). A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database. Computational Geosciences. 17(6). 899–911. 33 indexed citations
11.
Sraj, Ihab, Mohamed Iskandarani, Ashwanth Srinivasan, et al.. (2013). Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi. Monthly Weather Review. 141(7). 2347–2367. 26 indexed citations
12.
Sraj, Ihab, et al.. (2012). Erythrocyte deformation in high-throughput optical stretchers. Physical Review E. 85(4). 41923–41923. 10 indexed citations
13.
Alexanderian, Alen, Justin Winokur, Ihab Sraj, et al.. (2012). Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach. Computational Geosciences. 16(3). 757–778. 53 indexed citations
14.
Gupta, Vijay, Ihab Sraj, Κωνσταντίνος Κωνσταντόπουλος, & Charles D. Eggleton. (2010). Multi-scale simulation of L-selectin–PSGL-1-dependent homotypic leukocyte binding and rupture. Biomechanics and Modeling in Mechanobiology. 9(5). 613–627. 11 indexed citations
15.
Sraj, Ihab, et al.. (2010). Dynamic ray tracing for modeling optical cell manipulation. Optics Express. 18(16). 16702–16702. 20 indexed citations
16.
Sraj, Ihab, Charles D. Eggleton, Ralph Jimenez, et al.. (2010). Cell deformation cytometry using diode-bar optical stretchers. Journal of Biomedical Optics. 15(4). 1–1. 51 indexed citations
17.
Sraj, Ihab, David W. M. Marr, & Charles D. Eggleton. (2010). Linear diode laser bar optical stretchers for cell deformation. Biomedical Optics Express. 1(2). 482–482. 10 indexed citations
18.
Darwish, M., Ihab Sraj, & F. Moukalled. (2008). A coupled finite volume solver for the solution of incompressible flows on unstructured grids. Journal of Computational Physics. 228(1). 180–201. 104 indexed citations
19.
Darwish, M., Ihab Sraj, & F. Moukalled. (2007). A Coupled Incompressible Flow Solver on Structured Grids. Numerical Heat Transfer Part B Fundamentals. 52(4). 353–371. 48 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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