Muhammad Tahir
Impact in
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- Online Learning and Analytics
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Advanced Neural Network Applications 3
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- Machine Learning in Bioinformatics 9
- Co-authors
- Vivek Vivek (1 shared paper)Mohammed Kamalun Nabi (1 shared paper)Mohammed Arshad Khan (1 shared paper)Asifullah Khan (5 shared papers)Maqsood Hayat (2 shared papers)Nawaf N. Hamadneh (6 shared papers)Abdul Majid (1 shared paper)Adnan Idris (1 shared paper)
- Journals
- IEEE Access (5 papers)Computers, materials & continua/Computers, materials & continua (Print) (3 papers)Sustainability (2 papers)Annals of Nuclear Energy (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Muhammad Tahir
44 papers receiving 681 citations
Muhammad Tahir's Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Science Applications 56
- Biophysics 51
- Media Technology 63
- Education 151
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Muhammad Tahir
This map shows the geographic impact of Muhammad Tahir'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 Tahir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Tahir more than expected).
Fields of papers citing papers by Muhammad Tahir
This network shows the impact of papers produced by Muhammad Tahir. 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 Tahir. The network helps show where Muhammad Tahir may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Tahir, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study Hit paper breakdown → | 2020 | 234 |
| 2 | 2011 | 36 | |
| 3 | 2014 | 33 | |
| 4 | 2021 | 32 | |
| 5 | 2022 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 24 | |
| 8 | 2016 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Muhammad Tahir
Muhammad Tahir is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Media Technology and Electrical and Electronic Engineering, having authored 44 papers that have together received 726 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Cell Image Analysis Techniques (5 papers), Image Processing Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Stock Market Forecasting Methods (3 papers), Energy Load and Power Forecasting (3 papers), Online and Blended Learning (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Computer Science Applications (56 citations), Biophysics (51 citations), Media Technology (63 citations), Education (151 citations) and Computer Vision and Pattern Recognition (100 citations). Muhammad Tahir has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Vivek Vivek, Mohammed Kamalun Nabi, Mohammed Arshad Khan, Asifullah Khan, Maqsood Hayat, Nawaf N. Hamadneh, Abdul Majid, Adnan Idris, Mohammad Khalid Imam Rahmani and Sher Afzal Khan. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Sustainability, Annals of Nuclear Energy and Journal of Theoretical Biology.
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.