D. Bedekar
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 5
- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 2
- Ultrasound Imaging and Elastography 2
- Medical Imaging Techniques and Applications 1
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Kathleen M. Schmainda (6 shared papers)Jennifer Connelly (1 shared paper)Carolyn Quinsey (1 shared paper)Mark G. Malkin (2 shared papers)Pete LaViolette (1 shared paper)Scott D. Rand (2 shared papers)Benjamin M. Ellingson (1 shared paper)E.S. Paulson (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (2 papers)Journal of Neuro-Oncology (1 paper)Journal of Clinical Oncology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)American Journal of Neuroradiology (1 paper)
- Partner nations
- United States
In The Last Decade
D. Bedekar
8 papers receiving 395 citations
Peers
Comparison fields: 5 of 49
- Genetics 258
- Radiology, Nuclear Medicine and Imaging 340
- Orthopedics and Sports Medicine 18
- Modeling and Simulation 8
- Cancer Research 25
Countries citing papers authored by D. Bedekar
This map shows the geographic impact of D. Bedekar'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 D. Bedekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Bedekar more than expected).
Fields of papers citing papers by D. Bedekar
This network shows the impact of papers produced by D. Bedekar. 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 D. Bedekar. The network helps show where D. Bedekar may publish in the future.
Co-authors
The 18 scholars most cited alongside D. Bedekar, 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 | 2010 | 214 | |
| 2 | 2012 | 87 | |
| 3 | 2010 | 55 | |
| 4 | 2011 | 18 | |
| 5 | 2005 | 13 | |
| 6 | 2011 | 6 | |
| 7 | 2004 | 3 | |
| 8 | 2011 | 2 |
About D. Bedekar
D. Bedekar is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 398 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Advanced MRI Techniques and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Ultrasound Imaging and Elastography (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Medical Imaging Techniques and Applications (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (258 citations), Radiology, Nuclear Medicine and Imaging (340 citations), Orthopedics and Sports Medicine (18 citations), Modeling and Simulation (8 citations) and Cancer Research (25 citations). D. Bedekar has collaborated with scholars based in United States. Frequent co-authors include Kathleen M. Schmainda, Jennifer Connelly, Carolyn Quinsey, Mark G. Malkin, Pete LaViolette, Scott D. Rand, Benjamin M. Ellingson, E.S. Paulson, Jason T. Machan and J. L. Boxerman. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Neuro-Oncology, Journal of Clinical Oncology, Journal of Magnetic Resonance Imaging and American Journal of Neuroradiology.
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.