Muhammad Zeeshan Baig
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Hubert P. H. ShumNauman AslamManolya KavakliLi ZhangImran RazzakNoman HaiderMuhammad ImranEdmund Lai
- Topics
- Hydraulic Fracturing and Reservoir Analysis (16 papers)Hydrocarbon exploration and reservoir analysis (12 papers)NMR spectroscopy and applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of the Association for Information Systems
- Partner nations
- United Arab EmiratesAustraliaBritish Virgin Islands
In The Last Decade
Muhammad Zeeshan Baig
31 papers receiving 442 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 260
- Cellular and Molecular Neuroscience 82
- Signal Processing 79
- Artificial Intelligence 79
- Electrical and Electronic Engineering 71
Countries citing papers authored by Muhammad Zeeshan Baig
This map shows the geographic impact of Muhammad Zeeshan Baig'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 Zeeshan Baig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Zeeshan Baig more than expected).
Fields of papers citing papers by Muhammad Zeeshan Baig
This network shows the impact of papers produced by Muhammad Zeeshan Baig. 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 Zeeshan Baig. The network helps show where Muhammad Zeeshan Baig may publish in the future.
Co-authorship network of co-authors of Muhammad Zeeshan Baig
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zeeshan Baig. A scholar is included among the top collaborators of Muhammad Zeeshan Baig 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 Zeeshan Baig. Muhammad Zeeshan Baig 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | Connectivity Analysis of Functional Brain Networks in Using Multi-modal Human-Computer Interaction | 0 |
| 13 | 9 | |
| 14 | 48 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 129 | |
| 20 | 12 |
About Muhammad Zeeshan Baig
Muhammad Zeeshan Baig is a scholar working on Ocean Engineering, Human-Computer Interaction and Nuclear and High Energy Physics, having authored 38 papers that have together received 458 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (16 papers), Hydrocarbon exploration and reservoir analysis (12 papers) and NMR spectroscopy and applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (260 citations), Human-Computer Interaction (56 citations) and Signal Processing (79 citations). Muhammad Zeeshan Baig has collaborated with scholars based in United Arab Emirates, Australia and British Virgin Islands. Frequent co-authors include Hubert P. H. Shum, Nauman Aslam, Manolya Kavakli, Li Zhang, Imran Razzak, Noman Haider, Muhammad Imran, Edmund Lai, Naveed Muhammad and Mohsin Jamil. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the Association for Information Systems.
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.