Muhammad Ishaq
Impact in
- Geometry and Topology top 2%
- Graph theory and applications
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- Computational Drug Discovery Methods
- Polynomial and algebraic computation
- Graph Labeling and Dimension Problems
Papers in
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- Computational Drug Discovery Methods 20
- Polynomial and algebraic computation 16
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- Graph theory and applications 23
- Algebraic Geometry and Number Theory 10
- Co-authors
- Zahid Iqbal (21 shared papers)Adnan Aslam (16 shared papers)Muhammad Aamir (15 shared papers)Wei Gao (10 shared papers)Sirajul Haq (3 shared papers)Ani Shabri (5 shared papers)Muhammad Imran Qureshi (3 shared papers)Muhammad Sabir (2 shared papers)
In The Last Decade
Muhammad Ishaq
57 papers receiving 519 citations
Peers
Comparison fields: 5 of 102
- Geometry and Topology 316
- Computational Theory and Mathematics 316
- Algebra and Number Theory 58
- Modeling and Simulation 32
- Organic Chemistry 139
Countries citing papers authored by Muhammad Ishaq
This map shows the geographic impact of Muhammad Ishaq'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 Ishaq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ishaq more than expected).
Fields of papers citing papers by Muhammad Ishaq
This network shows the impact of papers produced by Muhammad Ishaq. 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 Ishaq. The network helps show where Muhammad Ishaq may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Ishaq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 33 | |
| 2 | 2019 | 28 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2011 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2014 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 1989 | 16 | |
| 15 | 2018 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2012 | 10 |
About Muhammad Ishaq
Muhammad Ishaq is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Algebra and Number Theory, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 70 papers that have together received 535 indexed citations. Recurring topics across this work include Graph theory and applications (23 papers), Computational Drug Discovery Methods (20 papers), Commutative Algebra and Its Applications (17 papers), Polynomial and algebraic computation (16 papers), Free Radicals and Antioxidants (10 papers), Algebraic Geometry and Number Theory (10 papers), Rings, Modules, and Algebras (5 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in Geometry and Topology (316 citations), Computational Theory and Mathematics (316 citations), Algebra and Number Theory (58 citations), Modeling and Simulation (32 citations) and Organic Chemistry (139 citations). Muhammad Ishaq has collaborated with scholars based in Pakistan, China and Malaysia. Frequent co-authors include Zahid Iqbal, Adnan Aslam, Muhammad Aamir, Wei Gao, Sirajul Haq, Ani Shabri, Muhammad Imran Qureshi, Muhammad Sabir, Waqas Nazeer and Peng Xu. Their work appears in journals such as Ain Shams Engineering Journal, IEEE Access, Ocean Engineering, Saudi Journal of Biological Sciences and Carpathian Journal of Mathematics.
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.