Mairaj Bibi

38 total papers · 469 total citations
25 papers, 378 citations indexed

About

Mairaj Bibi is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Mechanical Engineering. According to data from OpenAlex, Mairaj Bibi has authored 25 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Mechanical Engineering. Recurrent topics in Mairaj Bibi's work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), COVID-19 epidemiological studies (6 papers) and Fractional Differential Equations Solutions (5 papers). Mairaj Bibi is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), COVID-19 epidemiological studies (6 papers) and Fractional Differential Equations Solutions (5 papers). Mairaj Bibi collaborates with scholars based in Pakistan, Saudi Arabia and Taiwan. Mairaj Bibi's co-authors include Muhammad Shoaib Arif, Muhammad Rafiq, Ali Raza, Kamaleldin Abodayeh, Wasfı Shatanawi, Aiman Mukheimer, Yasir Nawaz, Amna Nazeer, Umer Javed and Muhammad Iqbal and has published in prestigious journals such as Energies, Advances in Difference Equations and Computer Modeling in Engineering & Sciences.

In The Last Decade

Mairaj Bibi

24 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
Mairaj Bibi 165 161 63 53 41 25 378
Davide Baroli 103 0.6× 178 1.1× 30 0.5× 29 0.5× 43 1.0× 24 366
Muhammad Ahmad 116 0.7× 115 0.7× 59 0.9× 30 0.6× 45 1.1× 51 443
Alex Viguerie 117 0.7× 203 1.3× 7 0.1× 35 0.7× 41 1.0× 29 358
Fehaid Salem Alshammari 157 1.0× 209 1.3× 62 1.0× 49 0.9× 49 1.2× 50 364
Nabeela Anwar 51 0.3× 108 0.7× 73 1.2× 22 0.4× 34 0.8× 31 341
Yanli Zhou 227 1.4× 213 1.3× 60 1.0× 115 2.2× 17 0.4× 34 408
Noor Atinah Ahmad 56 0.3× 68 0.4× 30 0.5× 10 0.2× 38 0.9× 29 432
Muhammad Umar 63 0.4× 187 1.2× 62 1.0× 9 0.2× 51 1.2× 18 442
Windarto Windarto 159 1.0× 143 0.9× 13 0.2× 51 1.0× 11 0.3× 67 380
Harpreet Kaur 61 0.4× 119 0.7× 20 0.3× 33 0.6× 9 0.2× 33 442

Countries citing papers authored by Mairaj Bibi

Since Specialization
Citations

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

Fields of papers citing papers by Mairaj Bibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mairaj Bibi

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