Muhammad Rashid
- Oncology top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Gastroenterology top 5%
- Co-authors
- Muhammad Attique KhanQaisar AbbasIrene FondónFarhat AfzaMuhammad SharifTanzila SabaKashif JavedTallha Akram
- Topics
- Cutaneous Melanoma Detection and Management (5 papers)AI in cancer detection (4 papers)Optical Coherence Tomography Applications (3 papers)
- Journals
- SustainabilityComputer Methods and Programs in BiomedicineNeural Computing and Applications
- Partner nations
- PakistanSpainUnited States
In The Last Decade
Muhammad Rashid
14 papers receiving 631 citations
Peers
Comparison fields: 5 of 82
- Oncology 300
- Artificial Intelligence 282
- Computer Vision and Pattern Recognition 263
- Radiology, Nuclear Medicine and Imaging 126
- Gastroenterology 93
Countries citing papers authored by Muhammad Rashid
This map shows the geographic impact of Muhammad Rashid'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 Rashid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Rashid more than expected).
Fields of papers citing papers by Muhammad Rashid
This network shows the impact of papers produced by Muhammad Rashid. 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 Rashid. The network helps show where Muhammad Rashid may publish in the future.
Co-authorship network of co-authors of Muhammad Rashid
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rashid. A scholar is included among the top collaborators of Muhammad Rashid 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 Rashid. Muhammad Rashid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 117 | |
| 4 | 22 | |
| 5 | 22 | |
| 6 | 62 | |
| 7 | 121 | |
| 8 | 58 | |
| 9 | 90 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 67 | |
| 13 | 21 | |
| 14 | 84 |
About Muhammad Rashid
Muhammad Rashid is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Media Technology, having authored 14 papers that have together received 682 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (4 papers) and Optical Coherence Tomography Applications (3 papers). The work is most often cited by research in Gastroenterology (93 citations), Computer Vision and Pattern Recognition (263 citations) and Oncology (300 citations). Muhammad Rashid has collaborated with scholars based in Pakistan, Spain and United States. Frequent co-authors include Muhammad Attique Khan, Qaisar Abbas, Irene Fondón, Farhat Afza, Muhammad Sharif, Muhammad Sharif, Tanzila Saba, Kashif Javed, Tallha Akram and Mussarat Yasmin. Their work appears in journals such as Sustainability, Computer Methods and Programs in Biomedicine and Neural Computing and Applications.
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.