Muhammad Rashid
- Artificial Intelligence top 10%
- Mechanics of Materials
- Mechanical Engineering
- Ocean Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Arfan JaffarSheeraz AkramAbdul Rauf BaigTehreem MasoodIftikhar NaseerWakeel HussainNafees AliAqsa Anees
- Topics
- Advanced Multi-Objective Optimization Algorithms (6 papers)Metaheuristic Optimization Algorithms Research (6 papers)Evolutionary Algorithms and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Muhammad Rashid
29 papers receiving 413 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 134
- Mechanics of Materials 89
- Mechanical Engineering 85
- Ocean Engineering 75
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Muhammad Rashid
This map shows the geographic impact of Muhammad Rashid'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 Rashid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Rashid more than expected).
Fields of papers citing papers by Muhammad Rashid
This network shows the impact of papers produced by Muhammad Rashid. 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 Rashid. The network helps show where Muhammad Rashid may publish in the future.
Co-authorship network of co-authors of Muhammad Rashid
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rashid. A scholar is included among the top collaborators of Muhammad Rashid 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 Muhammad Rashid. Muhammad Rashid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 39 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 45 | |
| 18 | 52 | |
| 19 | Speciation with GP Based Hybrid PSO | 0 |
| 20 | 5 |
About Muhammad Rashid
Muhammad Rashid is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 37 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (18 citations), Neurology (47 citations) and Ocean Engineering (75 citations). Muhammad Rashid has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Arfan Jaffar, Sheeraz Akram, Abdul Rauf Baig, Tehreem Masood, Iftikhar Naseer, Wakeel Hussain, Nafees Ali, Aqsa Anees, Hung Vo Thanh and Muhammad Ali. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.