H.A.D.M. Ashab
Impact in
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- Surgical Simulation and Training
- Anesthesia and Pain Management
- Nausea and vomiting management
- Intraoperative Neuromonitoring and Anesthetic Effects
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- Augmented Reality Applications
- Medical Image Segmentation Techniques
Papers in
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- Prostate Cancer Treatment and Research 2
- Surgery 1
- Urinary and Genital Oncology Studies 1
- Co-authors
- Purang Abolmaesumi (2 shared papers)Robert Rohling (1 shared paper)Lei Chen (1 shared paper)Scott A. Tomlins (1 shared paper)S. Laura Chang (1 shared paper)Larry Goldenberg (1 shared paper)Nicholas Erho (3 shared papers)Kasra Yousefi (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)PubMed (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
H.A.D.M. Ashab
4 papers receiving 16 citations
Peers
Comparison fields: 5 of 13
- Surgery 12
- Computer Vision and Pattern Recognition 5
- Anesthesiology and Pain Medicine 1
- Human-Computer Interaction 1
- Urology 1
Countries citing papers authored by H.A.D.M. Ashab
This map shows the geographic impact of H.A.D.M. Ashab'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 H.A.D.M. Ashab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.A.D.M. Ashab more than expected).
Fields of papers citing papers by H.A.D.M. Ashab
This network shows the impact of papers produced by H.A.D.M. Ashab. 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 H.A.D.M. Ashab. The network helps show where H.A.D.M. Ashab may publish in the future.
Co-authors
The 25 scholars most cited alongside H.A.D.M. Ashab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 13 | |
| 2 | 2016 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2014 | 1 | |
| 5 | 2016 | 1 |
About H.A.D.M. Ashab
H.A.D.M. Ashab is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Computer Vision and Pattern Recognition, Radiation and Computational Mechanics, having authored 5 papers that have together received 17 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Urinary and Genital Oncology Studies (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Radiotherapy Techniques (1 paper), Statistical Methods in Clinical Trials (1 paper), Medical Imaging and Analysis (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Surgery (12 citations), Computer Vision and Pattern Recognition (5 citations), Anesthesiology and Pain Medicine (1 citation), Human-Computer Interaction (1 citation) and Urology (1 citation). H.A.D.M. Ashab has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Purang Abolmaesumi, Robert Rohling, Lei Chen, Scott A. Tomlins, S. Laura Chang, Larry Goldenberg, Nicholas Erho, Kasra Yousefi, Silvia D. Chang and David T. Miyamoto. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, PubMed and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.