Muhammad Javaid
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
- Advanced Graph Theory Research
Papers in
-
- Computational Drug Discovery Methods 56
- Graph Labeling and Dimension Problems 54
- Advanced Graph Theory Research 10
- Topological and Geometric Data Analysis 7
-
- Graph theory and applications 96
- Co-authors
- Jia‐Bao Liu (21 shared papers)Jinde Cao (7 shared papers)Aqsa Sattar (12 shared papers)Muhammad Kamran Siddiqui (3 shared papers)Khurram Shabbir (3 shared papers)Ebenezer Bonyah (13 shared papers)Xiujun Zhang (1 shared paper)Akhlaq Ahmad Bhatti (7 shared papers)
- Journals
- IEEE Access (16 papers)Main Group Metal Chemistry (6 papers)Symmetry (5 papers)Complexity (4 papers)Heliyon (2 papers)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Muhammad Javaid
114 papers receiving 943 citations
Peers
Comparison fields: 5 of 57
- Geometry and Topology 753
- Computational Theory and Mathematics 806
- Organic Chemistry 334
- Inorganic Chemistry 61
- Statistical and Nonlinear Physics 41
Countries citing papers authored by Muhammad Javaid
This map shows the geographic impact of Muhammad Javaid'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 Javaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Javaid more than expected).
Fields of papers citing papers by Muhammad Javaid
This network shows the impact of papers produced by Muhammad Javaid. 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 Javaid. The network helps show where Muhammad Javaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Javaid, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2019 | 46 | |
| 3 | 2016 | 45 | |
| 4 | 2020 | 44 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 24 | |
| 12 | 2018 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2021 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2017 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2021 | 16 |
About Muhammad Javaid
Muhammad Javaid is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Organic Chemistry, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 130 papers that have together received 962 indexed citations. Recurring topics across this work include Graph theory and applications (96 papers), Computational Drug Discovery Methods (56 papers), Graph Labeling and Dimension Problems (54 papers), Free Radicals and Antioxidants (29 papers), Synthesis and Properties of Aromatic Compounds (17 papers), graph theory and CDMA systems (16 papers), Advanced Graph Theory Research (10 papers) and Topological and Geometric Data Analysis (7 papers). The work is most often cited by research in Geometry and Topology (753 citations), Computational Theory and Mathematics (806 citations), Organic Chemistry (334 citations), Inorganic Chemistry (61 citations) and Statistical and Nonlinear Physics (41 citations). Muhammad Javaid has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Jia‐Bao Liu, Jinde Cao, Aqsa Sattar, Muhammad Kamran Siddiqui, Khurram Shabbir, Ebenezer Bonyah, Xiujun Zhang, Akhlaq Ahmad Bhatti, Muhammad Asghar Jamal and Tabasam Rashid. Their work appears in journals such as IEEE Access, Main Group Metal Chemistry, Symmetry, Complexity and Heliyon.
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.