Mobeen Munir
Impact in
- Geometry and Topology top 0.5%
- Graph theory and applications
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Graph Labeling and Dimension Problems
- Topological and Geometric Data Analysis
Papers in
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- Graph theory and applications 45
-
- Computational Drug Discovery Methods 28
- Graph Labeling and Dimension Problems 14
- Topological and Geometric Data Analysis 6
- Co-authors
- Waqas Nazeer (19 shared papers)Shazia Rafique (15 shared papers)Shin Kang (8 shared papers)Shin Min Kang (20 shared papers)Young Chel Kwun (7 shared papers)Zafar Hussain (12 shared papers)Amjad Ali (3 shared papers)Muhammad Idrees (4 shared papers)
- Journals
- Symmetry (11 papers)Scientific Reports (5 papers)Mathematical Biosciences & Engineering (4 papers)Frontiers in Chemistry (2 papers)Complexity (2 papers)
- Partner nations
- PakistanSouth KoreaChina
In The Last Decade
Mobeen Munir
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Geometry and Topology 734
- Computational Theory and Mathematics 738
- Organic Chemistry 376
- Statistical and Nonlinear Physics 69
- Discrete Mathematics and Combinatorics 12
Countries citing papers authored by Mobeen Munir
This map shows the geographic impact of Mobeen Munir'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 Mobeen Munir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mobeen Munir more than expected).
Fields of papers citing papers by Mobeen Munir
This network shows the impact of papers produced by Mobeen Munir. 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 Mobeen Munir. The network helps show where Mobeen Munir may publish in the future.
Co-authors
The 25 scholars most cited alongside Mobeen Munir, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2016 | 110 | |
| 3 | 2016 | 102 | |
| 4 | 2017 | 81 | |
| 5 | 2016 | 66 | |
| 6 | 2018 | 56 | |
| 7 | 2018 | 48 | |
| 8 | 2016 | 44 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 28 | |
| 11 | 2016 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 13 |
About Mobeen Munir
Mobeen Munir is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Organic Chemistry, Statistical and Nonlinear Physics and Mathematical Physics, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graph theory and applications (45 papers), Computational Drug Discovery Methods (28 papers), Synthesis and Properties of Aromatic Compounds (14 papers), Graph Labeling and Dimension Problems (14 papers), Free Radicals and Antioxidants (8 papers), Complex Network Analysis Techniques (7 papers), Nonlinear Waves and Solitons (7 papers) and Topological and Geometric Data Analysis (6 papers). The work is most often cited by research in Geometry and Topology (734 citations), Computational Theory and Mathematics (738 citations), Organic Chemistry (376 citations), Statistical and Nonlinear Physics (69 citations) and Discrete Mathematics and Combinatorics (12 citations). Mobeen Munir has collaborated with scholars based in Pakistan, South Korea and China. Frequent co-authors include Waqas Nazeer, Shazia Rafique, Shin Kang, Shin Min Kang, Young Chel Kwun, Zafar Hussain, Amjad Ali, Muhammad Idrees, Outi M. H. Salo‐Ahen and Muhammad Usman Mirza. Their work appears in journals such as Symmetry, Scientific Reports, Mathematical Biosciences & Engineering, Frontiers in Chemistry and Complexity.
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.