Muhammad Ahmad

73 total papers · 592 total citations
51 papers, 443 citations indexed

About

Muhammad Ahmad is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Ahmad has authored 51 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 21 papers in Modeling and Simulation and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Ahmad's work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Fractional Differential Equations Solutions (15 papers) and COVID-19 epidemiological studies (10 papers). Muhammad Ahmad is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Fractional Differential Equations Solutions (15 papers) and COVID-19 epidemiological studies (10 papers). Muhammad Ahmad collaborates with scholars based in Pakistan, Türkiye and Saudi Arabia. Muhammad Ahmad's co-authors include Muhammad Zubair, Zafar Iqbal Qureshi, Nauman Ahmed, Muhammad Rafiq, Ali Akgül, Huma Jamil, Bilal Ahmad, Muhammad Younis, Safdar Ali and Ali Raza and has published in prestigious journals such as Expert Systems with Applications, Physica A Statistical Mechanics and its Applications and Computer Methods and Programs in Biomedicine.

In The Last Decade

Muhammad Ahmad

48 papers receiving 423 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 Ahmad 116 115 84 64 63 51 443
Alessandra Micheletti 15 0.1× 34 0.3× 10 0.1× 14 0.2× 37 0.6× 41 421
Eunice Mureithi 66 0.6× 85 0.7× 3 0.0× 15 0.2× 7 0.1× 45 430
Harpreet Kaur 61 0.5× 119 1.0× 47 0.6× 2 0.0× 6 0.1× 33 442
Rafiqul Islam 4 0.0× 43 0.4× 69 0.8× 5 0.1× 20 0.3× 79 483
Yuting Ding 100 0.9× 89 0.8× 103 1.2× 8 0.1× 3 0.0× 61 438
D. Romero 43 0.4× 27 0.2× 14 0.2× 76 1.2× 20 0.3× 23 404
Jing Ren 22 0.2× 118 1.0× 45 0.5× 4 0.1× 12 0.2× 68 412
Qiaoling Chen 79 0.7× 23 0.2× 12 0.1× 6 0.1× 22 0.3× 48 468
Vicente Costanza 37 0.3× 18 0.2× 44 0.5× 11 0.2× 45 392
Zhihao Ge 110 0.9× 67 0.6× 12 0.1× 3 0.0× 2 0.0× 46 462

Countries citing papers authored by Muhammad Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ahmad

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