Mohamed S. Ebeida

1.2k total citations
33 papers, 413 citations indexed

About

Mohamed S. Ebeida is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Mohamed S. Ebeida has authored 33 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Graphics and Computer-Aided Design, 13 papers in Computational Mechanics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mohamed S. Ebeida's work include Computational Geometry and Mesh Generation (23 papers), Computer Graphics and Visualization Techniques (15 papers) and 3D Shape Modeling and Analysis (7 papers). Mohamed S. Ebeida is often cited by papers focused on Computational Geometry and Mesh Generation (23 papers), Computer Graphics and Visualization Techniques (15 papers) and 3D Shape Modeling and Analysis (7 papers). Mohamed S. Ebeida collaborates with scholars based in United States, Egypt and Hong Kong. Mohamed S. Ebeida's co-authors include John D. Owens, Scott A. Mitchell, Anjul Patney, Andrew Davidson, Patrick Knupp, Yongjie Zhang, Xinghua Liang, Eric Mestreau, Laura Swiler and Chandrajit Bajaj and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, ACM Transactions on Graphics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Mohamed S. Ebeida

29 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed S. Ebeida United States 12 276 202 144 46 32 33 413
M.C. Rivara Chile 5 144 0.5× 182 0.9× 51 0.4× 36 0.8× 51 1.6× 7 287
Brian Green United States 9 415 1.5× 532 2.6× 207 1.4× 19 0.4× 42 1.3× 23 711
Boris Thibert France 11 133 0.5× 159 0.8× 69 0.5× 24 0.5× 10 0.3× 35 300
Alper Üngör United States 13 223 0.8× 192 1.0× 64 0.4× 32 0.7× 35 1.1× 24 364
Christian Lessig Germany 9 88 0.3× 130 0.6× 159 1.1× 11 0.2× 12 0.4× 27 341
Andrew Kensler United States 11 388 1.4× 211 1.0× 318 2.2× 7 0.2× 4 0.1× 18 466
Sean Mauch United States 10 128 0.5× 228 1.1× 81 0.6× 9 0.2× 27 0.8× 13 422
Paul Burchard United States 5 184 0.7× 244 1.2× 163 1.1× 16 0.3× 15 0.5× 5 392
Michael Breuß Germany 11 80 0.3× 131 0.6× 145 1.0× 18 0.4× 8 0.3× 51 328
Robert R. Lewis United States 7 96 0.3× 96 0.5× 80 0.6× 16 0.3× 9 0.3× 27 299

Countries citing papers authored by Mohamed S. Ebeida

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed S. Ebeida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed S. Ebeida. 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 Mohamed S. Ebeida. The network helps show where Mohamed S. Ebeida may publish in the future.

Co-authorship network of co-authors of Mohamed S. Ebeida

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed S. Ebeida. A scholar is included among the top collaborators of Mohamed S. Ebeida 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 Mohamed S. Ebeida. Mohamed S. Ebeida 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.
Mitchell, Scott A., Mohamed S. Ebeida, Chonhyon Park, et al.. (2018). Spoke-Darts for High-Dimensional Blue-Noise Sampling. ACM Transactions on Graphics. 37(2). 1–20. 13 indexed citations
2.
Bajaj, Chandrajit, et al.. (2017). A Seed Placement Strategy for Conforming Voronoi Meshing.. Canadian Conference on Computational Geometry. 95–100. 1 indexed citations
3.
Mitchell, Scott A., et al.. (2016). All-Hex Meshing of Multiple-Region Domains without Cleanup. Procedia Engineering. 163. 251–261.
4.
Mitchell, Scott A., Patrick Knupp, Mohamed S. Ebeida, John D. Owens, & Anjul Patney. (2016). Maximal Poisson-Disk Sampling.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
5.
Mitchell, Scott A., et al.. (2016). All-quad meshing without cleanup. Computer-Aided Design. 85. 83–98. 5 indexed citations
6.
Romero, Vicente, Laura Swiler, Mohamed S. Ebeida, & Scott A. Mitchell. (2016). A Set of Test Problems and Results in Assessing Method Performance for Calculating Low Probabilities of Failure.
7.
Ebeida, Mohamed S., Scott A. Mitchell, Laura Swiler, Vicente Romero, & Ahmad Rushdi. (2016). POF-Darts: Geometric adaptive sampling for probability of failure. Reliability Engineering & System Safety. 155. 64–77. 4 indexed citations
8.
Mitchell, Scott A., et al.. (2015). Robust All-quad Meshing of Domains with Connected Regions. Procedia Engineering. 124. 96–108. 3 indexed citations
9.
Ebeida, Mohamed S., et al.. (2014). POF-Darts: Geometric Adaptive Sampling for Probability of Failure.. RePEc: Research Papers in Economics.
10.
Ebeida, Mohamed S., et al.. (2013). Improving spatial coverage while preserving the blue noise of point sets. Computer-Aided Design. 46. 25–36. 9 indexed citations
11.
Ebeida, Mohamed S., et al.. (2013). Advancing Front for Efficient Blue Noise Sampling Across Various Dimensions.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
12.
Mitchell, Scott A., et al.. (2012). Variable radii poisson-disk sampling. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 185–190. 14 indexed citations
13.
Ebeida, Mohamed S., Scott A. Mitchell, Anjul Patney, Andrew Davidson, & John D. Owens. (2012). A Simple Algorithm for Maximal Poisson‐Disk Sampling in High Dimensions. Computer Graphics Forum. 31(2pt4). 785–794. 75 indexed citations
14.
Knupp, Patrick, et al.. (2011). Mesh Generation for Modeling and Simulation of Carbon Sequestration Process.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
15.
Ebeida, Mohamed S., Andrew Davidson, Anjul Patney, et al.. (2011). Efficient maximal poisson-disk sampling. 1–12. 55 indexed citations
16.
Ebeida, Mohamed S., Anjul Patney, John D. Owens, & Eric Mestreau. (2011). Isotropic conforming refinement of quadrilateral and hexahedral meshes using two‐refinement templates. International Journal for Numerical Methods in Engineering. 88(10). 974–985. 21 indexed citations
17.
Ebeida, Mohamed S., Andrew Davidson, Anjul Patney, et al.. (2011). Efficient maximal poisson-disk sampling. ACM Transactions on Graphics. 30(4). 1–12. 59 indexed citations
18.
Liang, Xinghua, Mohamed S. Ebeida, & Yongjie Zhang. (2010). Guaranteed-quality all-quadrilateral mesh generation with feature preservation. Computer Methods in Applied Mechanics and Engineering. 199(29-32). 2072–2083. 26 indexed citations
19.
Patney, Anjul, Mohamed S. Ebeida, & John D. Owens. (2009). Parallel view-dependent tessellation of Catmull-Clark subdivision surfaces. 99–108. 25 indexed citations
20.
Ebeida, Mohamed S., Roger L. Davis, & Roland W. Freund. (2009). Unsteady Incompressible Flow Simulation using Galerkin Finite Element with Spatial/Temporal Adaptation. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 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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