Mohamed S. Ebeida

1.3k citations
40 papers · 500 · h-index 12

Impact in

Papers in

Mohamed S. Ebeida

37 papers receiving 482 citations

Peers

Mohamed S. Ebeida
Comparison fields: 5 of 63
  • Computer Graphics and Computer-Aided Design 334
  • Computational Mechanics 257
  • Computer Vision and Pattern Recognition 159
  • Computational Theory and Mathematics 57
  • Statistics, Probability and Uncertainty 23
Replace Alper Üngör with:
Alper Üngör United States
M.C. Rivara Chile
Damrong Guoy United States
Xiquan Shi China
Sean Mauch United States
Christian Lessig Germany
Camille Wormser France
Erik Brisson United States
Afonso Paiva Brazil
Felix Kälberer Germany
Mohamed S. Ebeida relative to Alper Üngör United States Alper Üngör's profile →
Citations per field
00.5×10×14.5×
Alper Üngör · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mohamed S. Ebeida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohamed S. Ebeida Line = papers co-authored together Mohamed S. Ebeida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201162
3 201159
4 201131
5 201031
6 201130
7 200926
8 201124
9
Variable radii poisson-disk sampling
201215
10 201814
11 201013
12 201613
13 201711
14 201410
15 201310
16 20108
17 20167
18 20097
19 20146
20 20166

About Mohamed S. Ebeida

Mohamed S. Ebeida is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 40 papers that have together received 500 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (29 papers), Computer Graphics and Visualization Techniques (20 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Numerical Analysis Techniques (5 papers), Probabilistic and Robust Engineering Design (4 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (334 citations), Computational Mechanics (257 citations), Computer Vision and Pattern Recognition (159 citations), Computational Theory and Mathematics (57 citations) and Statistics, Probability and Uncertainty (23 citations). Mohamed S. Ebeida has collaborated with scholars based in United States, Egypt and Hong Kong. Frequent co-authors include Scott A. Mitchell, John D. Owens, Anjul Patney, Andrew Davidson, Patrick Knupp, Yongjie Zhang, Xinghua Liang, Eric Mestreau, Roger L. Davis and Chandrajit Bajaj. Their work appears in journals such as Computer Graphics Forum, Computer-Aided Design, ACM Transactions on Graphics, International Journal for Numerical Methods in Engineering and International Journal for Uncertainty Quantification.

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