Muhammad Arfan

116 total papers · 1.8k total citations
75 papers, 1.4k citations indexed

About

Muhammad Arfan is a scholar working on Modeling and Simulation, Applied Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Muhammad Arfan has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Modeling and Simulation, 24 papers in Applied Mathematics and 18 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Muhammad Arfan's work include Fractional Differential Equations Solutions (41 papers), Nonlinear Differential Equations Analysis (23 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (18 papers). Muhammad Arfan is often cited by papers focused on Fractional Differential Equations Solutions (41 papers), Nonlinear Differential Equations Analysis (23 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (18 papers). Muhammad Arfan collaborates with scholars based in Pakistan, Saudi Arabia and Indonesia. Muhammad Arfan's co-authors include Kamal Shah, Mati ur Rahman, Aman Ullah, Thabet Abdeljawad, Aly R. Seadawy, Zahir Shah, Shabir Ahmad, Hussam Alrabaiah, J. F. Gómez‐Aguilar and Poom Kumam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Alexandria Engineering Journal.

In The Last Decade

Muhammad Arfan

67 papers receiving 1.4k citations

Hit Papers

Computational study on th... 2022 2026 2023 2024 2022 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Muhammad Arfan 979 469 349 197 182 75 1.4k
Muhammad Umar 841 0.9× 242 0.5× 119 0.3× 226 1.1× 246 1.4× 59 1.8k
Carla M. A. Pinto 883 0.9× 581 1.2× 223 0.6× 238 1.2× 136 0.7× 115 1.5k
Fatmawati Fatmawati 908 0.9× 821 1.8× 172 0.5× 85 0.4× 88 0.5× 210 1.6k
Banan Maayah 575 0.6× 130 0.3× 193 0.6× 179 0.9× 288 1.6× 33 1.1k
Rafael J. Villanueva 527 0.5× 378 0.8× 111 0.3× 178 0.9× 132 0.7× 146 1.4k
Mohammed K. A. Kaabar 891 0.9× 146 0.3× 511 1.5× 376 1.9× 309 1.7× 108 1.6k
Muhammad Farooq 703 0.7× 512 1.1× 208 0.6× 74 0.4× 114 0.6× 52 1.1k
Bo Li 543 0.6× 541 1.2× 139 0.4× 401 2.0× 70 0.4× 122 1.6k
Hemen Dutta 521 0.5× 221 0.5× 423 1.2× 233 1.2× 335 1.8× 138 1.4k
J.‐C. Cortés 576 0.6× 177 0.4× 469 1.3× 396 2.0× 288 1.6× 201 1.8k

Countries citing papers authored by Muhammad Arfan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arfan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arfan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arfan. A scholar is included among the top collaborators of Muhammad Arfan 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 Arfan. Muhammad Arfan 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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