Muhammad Suleman

36 total papers · 798 total citations
33 papers, 679 citations indexed

About

Muhammad Suleman is a scholar working on Modeling and Simulation, Numerical Analysis and Mechanical Engineering. According to data from OpenAlex, Muhammad Suleman has authored 33 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Modeling and Simulation, 15 papers in Numerical Analysis and 9 papers in Mechanical Engineering. Recurrent topics in Muhammad Suleman's work include Fractional Differential Equations Solutions (19 papers), Heat Transfer Mechanisms (9 papers) and Iterative Methods for Nonlinear Equations (8 papers). Muhammad Suleman is often cited by papers focused on Fractional Differential Equations Solutions (19 papers), Heat Transfer Mechanisms (9 papers) and Iterative Methods for Nonlinear Equations (8 papers). Muhammad Suleman collaborates with scholars based in Pakistan, China and South Korea. Muhammad Suleman's co-authors include Dianchen Lu, Muhammad Ramzan, Jamshaid Ul Rahman, Shafiq Ahmad, Umer Farooq, Samad Noeiaghdam, Ji‐Huan He, Shahid Hussain, Shahzad Munir and Qingbiao Wu and has published in prestigious journals such as Scientific Reports, International Communications in Heat and Mass Transfer and Alexandria Engineering Journal.

In The Last Decade

Muhammad Suleman

31 papers receiving 655 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Suleman 364 291 284 251 139 33 679
Azhar Iqbal 390 1.1× 302 1.0× 231 0.8× 262 1.0× 90 0.6× 55 715
Sayed M. El Din 359 1.0× 273 0.9× 190 0.7× 212 0.8× 191 1.4× 38 729
Sumit Gupta 385 1.1× 316 1.1× 244 0.9× 275 1.1× 92 0.7× 49 626
Asif Waheed 252 0.7× 195 0.7× 407 1.4× 168 0.7× 350 2.5× 38 760
Esra Karataş Akgül 209 0.6× 171 0.6× 323 1.1× 128 0.5× 111 0.8× 38 626
Mubashir Qayyum 433 1.2× 266 0.9× 332 1.2× 250 1.0× 104 0.7× 76 750
Bongsoo Jang 198 0.5× 155 0.5× 236 0.8× 147 0.6× 91 0.7× 54 646
Azhar Ali Zafar 437 1.2× 209 0.7× 357 1.3× 214 0.9× 47 0.3× 39 619
Mdi Begum Jeelani 279 0.8× 252 0.9× 329 1.2× 199 0.8× 42 0.3× 54 697
Mohamed Altanji 422 1.2× 354 1.2× 149 0.5× 292 1.2× 38 0.3× 48 718

Countries citing papers authored by Muhammad Suleman

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Suleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Suleman

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Suleman. A scholar is included among the top collaborators of Muhammad Suleman 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 Muhammad Suleman. Muhammad Suleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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