Muhammad Shahbaz
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 6
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- Technology Adoption and User Behaviour 9
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- Big Data and Business Intelligence 5
- Marketing top 2%
- Environmental Sustainability in Business 6
- Strategy and Management top 5%
- Sustainable Supply Chain Management 6
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- Data Mining Algorithms and Applications 8
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- Rough Sets and Fuzzy Logic 8
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- Magnetic Properties and Synthesis of Ferrites 7
- Co-authors
- Fakhar ShahzadAziz GuergachiJ. A. HardingGuoyi XiuSrinivasAndrew KusiakSajida PerveenKarim Keshavjee
- Cited by
- Health Information ManagementInformation Systems and ManagementManagement Information Systems
- Journals
- SHILAP Revista de lepidopterología (2 papers)Renewable and Sustainable Energy Reviews (1 paper)PLoS ONE (1 paper)
In The Last Decade
Muhammad Shahbaz
87 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 163
- Health Information Management 311
- Information Systems and Management 331
- Management Information Systems 332
- Marketing 311
- Strategy and Management 384
Countries citing papers authored by Muhammad Shahbaz
This map shows the geographic impact of Muhammad Shahbaz'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 Shahbaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shahbaz more than expected).
Fields of papers citing papers by Muhammad Shahbaz
This network shows the impact of papers produced by Muhammad Shahbaz. 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 Shahbaz. The network helps show where Muhammad Shahbaz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Shahbaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 58 | |
| 15 | 2020 | 35 | |
| 16 | 2020 | 49 | |
| 17 | Neural Network Approach for Irony Detection from Arabic Text on Social Media. | 2019 | 1 |
| 18 | 2019 | 62 | |
| 19 | 2018 | 56 | |
| 20 | Migration and Tourism Demand | 2012 | 15 |
About Muhammad Shahbaz
Muhammad Shahbaz is a scholar working on Health Information Management, Information Systems and Management and Management Information Systems, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers), Magnetic Properties and Synthesis of Ferrites (7 papers), Artificial Intelligence in Healthcare (6 papers), Environmental Sustainability in Business (6 papers), Sustainable Supply Chain Management (6 papers) and Big Data and Business Intelligence (5 papers). The work is most often cited by research in Health Information Management (311 citations), Information Systems and Management (331 citations) and Management Information Systems (332 citations). Muhammad Shahbaz has collaborated with scholars based in Pakistan, China and Canada. Frequent co-authors include Fakhar Shahzad, Aziz Guergachi, J. A. Harding, Guoyi Xiu, Srinivas, Andrew Kusiak, Sajida Perveen, Karim Keshavjee, Changyuan Gao and Jian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.