Tehreem Masood
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Neurology top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Co-authors
- Arfan JaffarSheeraz AkramIftikhar NaseerMuhammad RashidMuhammad Adnan KhanAmir MosaviSohail Masood BhattiChantal Cherifi
- Topics
- COVID-19 diagnosis using AI (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Lung Cancer Diagnosis and Treatment (4 papers)
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Tehreem Masood
13 papers receiving 225 citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 115
- Artificial Intelligence 95
- Neurology 70
- Pulmonary and Respiratory Medicine 59
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Tehreem Masood
This map shows the geographic impact of Tehreem Masood'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 Tehreem Masood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tehreem Masood more than expected).
Fields of papers citing papers by Tehreem Masood
This network shows the impact of papers produced by Tehreem Masood. 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 Tehreem Masood. The network helps show where Tehreem Masood may publish in the future.
Co-authorship network of co-authors of Tehreem Masood
This figure shows the co-authorship network connecting the top 25 collaborators of Tehreem Masood. A scholar is included among the top collaborators of Tehreem Masood 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 Tehreem Masood. Tehreem Masood 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 | 1 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 15 | |
| 8 | 30 | |
| 9 | 12 | |
| 10 | 58 | |
| 11 | 36 | |
| 12 | 16 | |
| 13 | 8 |
About Tehreem Masood
Tehreem Masood is a scholar working on Health Informatics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Neurology (70 citations), Radiology, Nuclear Medicine and Imaging (115 citations) and Artificial Intelligence (95 citations). Tehreem Masood has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Arfan Jaffar, Sheeraz Akram, Iftikhar Naseer, Muhammad Rashid, Muhammad Adnan Khan, Amir Mosavi, Sohail Masood Bhatti, Chantal Cherifi, Néjib Moalla and Shahan Yamin Siddiqui. Their work appears in journals such as IEEE Access, Sensors and Brazilian Archives of Biology and 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.