Muhammad Umair
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 2%
- Artificial Intelligence
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Mohammad EslamiClarissa MartinAli Madeeh HashmiZeeshan ButtSai BatchuFan LiuImran KhawajaMulazim Hussain Bukhari
- Topics
- Artificial Intelligence in Healthcare and Education (9 papers)Radiology practices and education (7 papers)Cardiac Imaging and Diagnostics (6 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterologíaStrokeEcological Indicators
- Partner nations
- United StatesPakistanEgypt
In The Last Decade
Muhammad Umair
40 papers receiving 316 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 97
- Health Informatics 72
- Artificial Intelligence 57
- Biomedical Engineering 39
- Pulmonary and Respiratory Medicine 29
Countries citing papers authored by Muhammad Umair
This map shows the geographic impact of Muhammad Umair'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 Umair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umair more than expected).
Fields of papers citing papers by Muhammad Umair
This network shows the impact of papers produced by Muhammad Umair. 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 Umair. The network helps show where Muhammad Umair may publish in the future.
Co-authorship network of co-authors of Muhammad Umair
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umair. A scholar is included among the top collaborators of Muhammad Umair 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 Umair. Muhammad Umair 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 58 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | IMPACT OF LOW VERSUS HIGH VACUUM SUCTION DRAINAGE ON DURATION OF HOSPITAL STAY AFTER MODIFIED RADICAL MASTECTOMY | 0 |
About Muhammad Umair
Muhammad Umair is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 51 papers that have together received 328 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (9 papers), Radiology practices and education (7 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Health Informatics (72 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Energy Engineering and Power Technology (11 citations). Muhammad Umair has collaborated with scholars based in United States, Pakistan and Egypt. Frequent co-authors include Mohammad Eslami, Clarissa Martin, Ali Madeeh Hashmi, Zeeshan Butt, Sai Batchu, Fan Liu, Imran Khawaja, Mulazim Hussain Bukhari, Keldon K. Lin and Benjamin D. Killeen. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Ecological Indicators.
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.