Muhammad Badruddin Khan
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mohssen MohammedEihab B. M. BashierAbdul Khader Jilani SaudagarMozaherul Hoque Abul HasanatMohammed AlkhathamiKhalid Mahmood MalikAbdullah AlTameemAbhishek Kumar
- Topics
- COVID-19 diagnosis using AI (11 papers)Advanced Text Analysis Techniques (8 papers)Sentiment Analysis and Opinion Mining (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Environmental Research and Public Health
- Partner nations
- Saudi ArabiaPakistanUnited States
In The Last Decade
Muhammad Badruddin Khan
44 papers receiving 742 citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 302
- Information Systems 117
- Computer Networks and Communications 97
- Computer Vision and Pattern Recognition 75
- Radiology, Nuclear Medicine and Imaging 69
Countries citing papers authored by Muhammad Badruddin Khan
This map shows the geographic impact of Muhammad Badruddin Khan'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 Badruddin Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Badruddin Khan more than expected).
Fields of papers citing papers by Muhammad Badruddin Khan
This network shows the impact of papers produced by Muhammad Badruddin Khan. 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 Badruddin Khan. The network helps show where Muhammad Badruddin Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Badruddin Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Badruddin Khan. A scholar is included among the top collaborators of Muhammad Badruddin Khan 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 Badruddin Khan. Muhammad Badruddin Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 11 |
About Muhammad Badruddin Khan
Muhammad Badruddin Khan is a scholar working on Artificial Intelligence, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 783 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (11 papers), Advanced Text Analysis Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Health Informatics (17 citations), Health Information Management (46 citations) and Artificial Intelligence (302 citations). Muhammad Badruddin Khan has collaborated with scholars based in Saudi Arabia, Pakistan and United States. Frequent co-authors include Mohssen Mohammed, Eihab B. M. Bashier, Abdul Khader Jilani Saudagar, Mozaherul Hoque Abul Hasanat, Mohammed Alkhathami, Khalid Mahmood Malik, Abdullah AlTameem, Abhishek Kumar, Ahmed Abbasi and Abdul Rehman Javed. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.
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.