Muhammad Abbas

4.4k citations
253 papers · 3.4k indexed · h-index 32

Muhammad Abbas

222 papers receiving 3.3k citations

Peers

Muhammad Abbas
Comparison fields: 5 of 134
  • Modeling and Simulation 1.3k
  • Numerical Analysis 1.1k
  • Computational Mechanics 1.1k
  • Statistical and Nonlinear Physics 649
  • Computer Graphics and Computer-Aided Design 90
Replace E.J. Kansa with:
E.J. Kansa United States
Božidar Šarler Slovenia
Weiwei Sun China
Zhiping Mao United States
Elyas Shivanian Iran
Raytcho Lazarov United States
Martin Stynes Ireland
Xinlong Feng China
Gregory E. Fasshauer United States
Zhuojia Fu China
Muhammad Abbas relative to E.J. Kansa United States E.J. Kansa's profile →
Citations per field
00.5×4.7×
E.J. Kansa · 1×
Citations per year

Countries citing papers authored by Muhammad Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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10 20243
11 20245
12 202327
13 20231
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15 20233
16 202325
17 20223
18 20215
19 202038
20 20184

About Muhammad Abbas

Muhammad Abbas is a scholar working on Modeling and Simulation, Numerical Analysis, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Computational Mechanics, having authored 253 papers that have together received 3.4k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (103 papers), Differential Equations and Numerical Methods (68 papers), Advanced Numerical Analysis Techniques (58 papers), Nonlinear Waves and Solitons (57 papers), Iterative Methods for Nonlinear Equations (38 papers), Nonlinear Photonic Systems (35 papers), Nanofluid Flow and Heat Transfer (28 papers) and 3D Shape Modeling and Analysis (22 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Numerical Analysis (1.1k citations), Computational Mechanics (1.1k citations), Statistical and Nonlinear Physics (649 citations) and Computer Graphics and Computer-Aided Design (90 citations). Muhammad Abbas has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include M. M. Bhatti, Mohammad Mehdi Rashidi, Muhammad Kashif Iqbal, Dumitru Bǎleanu, Ahmad Abd. Majid, Tayyaba Akram, Tahir Nazir, Ahmad Izani Md. Ismail, Jamaludin Md. Ali and Azhar Iqbal. Their work appears in journals such as Advances in Difference Equations, Applied Mathematics and Computation, Symmetry, PLoS ONE and Alexandria Engineering Journal.

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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