Muhammad Abbas

4.7k citations
274 papers · 3.8k · h-index 34

Impact in

Papers in

Muhammad Abbas

247 papers receiving 3.7k citations

Peers

Muhammad Abbas
Comparison fields: 5 of 137
  • Modeling and Simulation 1.4k
  • Numerical Analysis 1.1k
  • Computational Mechanics 1.2k
  • Statistical and Nonlinear Physics 735
  • Computer Graphics and Computer-Aided Design 93
Replace E. H. Twizell with:
E. H. Twizell United Kingdom
Edward J. Kansa United States
Božidar Šarler Slovenia
Zhiping Mao United States
Raytcho Lazarov United States
Gregory E. Fasshauer United States
Y.C. Hon Hong Kong
Teodor M. Atanacković Serbia
Rabha Waell Ibrahim Malaysia
Xiaonan Wu China
Muhammad Abbas relative to E. H. Twizell United Kingdom E. H. Twizell's profile →
Citations per field
00.5×5×10×16.3×
E. H. Twizell · 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-authors

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

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 201690
3 201590
4 202289
5 201588
6 201685
7 202181
8 202074
9 201570
10 201466
11 201866
12 202264
13 201753
14 201951
15 202050
16 202049
17 201347
18 201946
19 202045
20 202041

About Muhammad Abbas

Muhammad Abbas is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 274 papers that have together received 3.8k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (111 papers), Differential Equations and Numerical Methods (73 papers), Nonlinear Waves and Solitons (69 papers), Advanced Numerical Analysis Techniques (59 papers), Nonlinear Photonic Systems (40 papers), Iterative Methods for Nonlinear Equations (40 papers), Nanofluid Flow and Heat Transfer (28 papers) and 3D Shape Modeling and Analysis (23 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Numerical Analysis (1.1k citations), Computational Mechanics (1.2k citations), Statistical and Nonlinear Physics (735 citations) and Computer Graphics and Computer-Aided Design (93 citations). Muhammad Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Muhammad Mubashir Bhatti, Muhammad Kashif Iqbal, Mohammad Mehdi Rashidi, Dumitru Baleanu, Ahmad Abd. Majid, Tayyaba Akram, Tahir Nazir, Ahmad Izani Md. Ismail, Abdul Mannan Majeed and Azhar Iqbal. Their work appears in journals such as Advances in Difference Equations, Applied Mathematics and Computation, Scientific Reports, Symmetry and PLoS ONE.

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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