Muhammad Faisal Nadeem
- Geometry and Topology top 0.5%
- Graph theory and applications 60
- Computational Theory and Mathematics top 0.5%
- Graph Labeling and Dimension Problems 41
- Computational Drug Discovery Methods 37
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions 8
- Organic Chemistry top 5%
- Free Radicals and Antioxidants 13
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- Interconnection Networks and Systems 9
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- Nanofluid Flow and Heat Transfer 8
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- Carbon Nanotubes in Composites 8
Muhammad Faisal Nadeem
106 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Geometry and Topology 838
- Computational Theory and Mathematics 970
- Modeling and Simulation 70
- Organic Chemistry 334
- Statistical and Nonlinear Physics 95
Countries citing papers authored by Muhammad Faisal Nadeem
This map shows the geographic impact of Muhammad Faisal Nadeem'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 Faisal Nadeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Faisal Nadeem more than expected).
Fields of papers citing papers by Muhammad Faisal Nadeem
This network shows the impact of papers produced by Muhammad Faisal Nadeem. 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 Faisal Nadeem. The network helps show where Muhammad Faisal Nadeem may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Faisal Nadeem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 26 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 32 | |
| 17 | 2020 | 3 | |
| 18 | On super edge magic deficiency of kite graphs. | 2012 | 1 |
| 19 | On the super edge-magic deficiency of some families related to ladder graphs. | 2011 | 1 |
| 20 | Further results on super edge magic deficiency of unicyclic graphs. | 2011 | 3 |
About Muhammad Faisal Nadeem
Muhammad Faisal Nadeem is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Modeling and Simulation, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Graph theory and applications (60 papers), Graph Labeling and Dimension Problems (41 papers), Computational Drug Discovery Methods (37 papers), Free Radicals and Antioxidants (13 papers), Interconnection Networks and Systems (9 papers), Nanofluid Flow and Heat Transfer (8 papers), Carbon Nanotubes in Composites (8 papers) and Fractional Differential Equations Solutions (8 papers). The work is most often cited by research in Geometry and Topology (838 citations), Computational Theory and Mathematics (970 citations) and Modeling and Simulation (70 citations). Muhammad Faisal Nadeem has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Azeem, Hafiz Muhammad Afzal Siddiqui, Imran Siddique, Ali Ahmad, Sohail Zafar, Zohaib Zahid, Muhammad Kamran Siddiqui, Fahd Jarad, Muhammad Imran and Ali N. A. Koam. Their work appears in journals such as Polycyclic aromatic compounds, Scientific Reports, IEEE Access, Combinatorial Chemistry & High Throughput Screening and Symmetry.
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.