Shan E Ahmed Raza
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 1%
- Biophysics top 0.5%
- Oncology top 10%
- Co-authors
- Nasir RajpootDavid SneadIan A. CreeKorsuk SirinukunwattanaYee‐Wah TsangSimon GrahamJohn P. ClarksonFayyaz Minhas
- Topics
- AI in cancer detection (32 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)Cell Image Analysis Techniques (12 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomQatarUnited States
In The Last Decade
Shan E Ahmed Raza
53 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 884
- Computer Vision and Pattern Recognition 727
- Biophysics 355
- Oncology 292
Countries citing papers authored by Shan E Ahmed Raza
This map shows the geographic impact of Shan E Ahmed Raza'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 Shan E Ahmed Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan E Ahmed Raza more than expected).
Fields of papers citing papers by Shan E Ahmed Raza
This network shows the impact of papers produced by Shan E Ahmed Raza. 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 Shan E Ahmed Raza. The network helps show where Shan E Ahmed Raza may publish in the future.
Co-authorship network of co-authors of Shan E Ahmed Raza
This figure shows the co-authorship network connecting the top 25 collaborators of Shan E Ahmed Raza. A scholar is included among the top collaborators of Shan E Ahmed Raza 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 Shan E Ahmed Raza. Shan E Ahmed Raza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 22 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 52 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 150 | |
| 18 | 37 | |
| 19 | A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space | 2 |
| 20 | 159 |
About Shan E Ahmed Raza
Shan E Ahmed Raza is a scholar working on Biophysics, Periodontics and Artificial Intelligence, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Cell Image Analysis Techniques (12 papers). The work is most often cited by research in Biophysics (355 citations), Health Informatics (65 citations) and Artificial Intelligence (1.3k citations). Shan E Ahmed Raza has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Nasir Rajpoot, David Snead, Ian A. Cree, Korsuk Sirinukunwattana, Yee‐Wah Tsang, Simon Graham, John P. Clarkson, Fayyaz Minhas, D. B. A. Epstein and Michael Khan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.