Muhammad Nadeem Majeed
- Neurology top 10%
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 3
- Speech Recognition and Synthesis 3
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- Software Engineering Techniques and Practices 6
- Software Engineering Research 3
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- Speech and Audio Processing 3
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- ERP Systems Implementation and Impact 3
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- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 3
- Co-authors
- Syed Muhammad AnwarNadia GulMuhammad MajidMuazzam MaqsoodHussain DawoodMustansar Ali GhazanfarRiad AlharbeyAmeen Banjar
- Journals
- IEEE Access (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Arabian Journal for Science and Engineering (1 paper)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Muhammad Nadeem Majeed
26 papers receiving 364 citations
Peers
Comparison fields: 5 of 91
- Health Information Management 84
- Neurology 115
- Artificial Intelligence 137
- Health Informatics 5
- Medical Laboratory Technology 5
Countries citing papers authored by Muhammad Nadeem Majeed
This map shows the geographic impact of Muhammad Nadeem Majeed'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 Nadeem Majeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Nadeem Majeed more than expected).
Fields of papers citing papers by Muhammad Nadeem Majeed
This network shows the impact of papers produced by Muhammad Nadeem Majeed. 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 Nadeem Majeed. The network helps show where Muhammad Nadeem Majeed may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Nadeem Majeed, 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 | 2022 | 2 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 34 | |
| 10 | 2018 | 51 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 117 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 19 | |
| 16 | 2014 | 0 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 9 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 4 |
About Muhammad Nadeem Majeed
Muhammad Nadeem Majeed is a scholar working on Signal Processing, Information Systems and Media Technology, having authored 28 papers that have together received 379 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (6 papers), Speech and Audio Processing (3 papers), Software Engineering Research (3 papers), Advanced Software Engineering Methodologies (3 papers), ERP Systems Implementation and Impact (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Health Information Management (84 citations), Neurology (115 citations) and Artificial Intelligence (137 citations). Muhammad Nadeem Majeed has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Syed Muhammad Anwar, Nadia Gul, Muhammad Majid, Muazzam Maqsood, Hussain Dawood, Mustansar Ali Ghazanfar, Riad Alharbey, Ameen Banjar, Muhammad Bilal Asif and Sidra Iftekhar. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Arabian Journal for Science and Engineering, Multimedia Systems and Behaviour and Information Technology.
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.