A. Elsaid

79 papers receiving 864 citations

Peers

A. Elsaid
Comparison fields: 5 of 100
  • Modeling and Simulation 370
  • Numerical Analysis 212
  • Statistical and Nonlinear Physics 310
  • Rehabilitation 60
  • Applied Mathematics 89
Replace K. W. Chang with:
K. W. Chang Taiwan
Martin Weiser Germany
Vahid Reza Hosseini China
M. S. El‐Azab Egypt
Weipeng Hu China
Xiaoning Zheng United States
Shengfeng Zhu China
Robert J. McGough United States
Shaoqiang Tang China
Xuehua Yang China
A. Elsaid relative to K. W. Chang Taiwan K. W. Chang's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Elsaid

Since Specialization
Citations

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

Fields of papers citing papers by A. Elsaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Elsaid, 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 A. Elsaid Line = papers co-authored together A. Elsaid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201584
2 201965
3 201148
4 201247
5 201043
6 201241
7 201435
8 201234
9 200733
10 201832
11 202131
12 202023
13 201622
14 201921
15 201619
16 201619
17 201217
18 199616
19 201415
20 201313

About A. Elsaid

A. Elsaid is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Mechanics of Materials and Computational Mechanics, having authored 90 papers that have together received 911 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (30 papers), Iterative Methods for Nonlinear Equations (12 papers), Numerical methods in engineering (10 papers), Nonlinear Waves and Solitons (7 papers), Nonlinear Differential Equations Analysis (7 papers), Chaos control and synchronization (7 papers), Nanofluid Flow and Heat Transfer (6 papers) and Ionosphere and magnetosphere dynamics (6 papers). The work is most often cited by research in Modeling and Simulation (370 citations), Numerical Analysis (212 citations), Statistical and Nonlinear Physics (310 citations), Rehabilitation (60 citations) and Applied Mathematics (89 citations). A. Elsaid has collaborated with scholars based in Egypt, Japan and Saudi Arabia. Frequent co-authors include Amr Elsonbaty, A‎. ‎M‎. ‎A‎. El-Sayed, M. S. Abdel Latif, A.E. Matouk, I. L. El‐Kalla, Waheed K. Zahra, Sameh Hany Emile, Wael Khafagy, Ayman Elshobaky and Mohamed Youssef. Their work appears in journals such as Applied Mathematics and Computation, Communications in Nonlinear Science and Numerical Simulation, Advances in Space Research, Alexandria Engineering Journal and Computers & Mathematics with Applications.

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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