Ajit Devaraj
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- MRI in cancer diagnosis 7
- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 4
- Optical Imaging and Spectroscopy Techniques 3
- Cognitive Neuroscience top 10%
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- Non-Invasive Vital Sign Monitoring 4
- Biophysics top 10%
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- Prostate Cancer Diagnosis and Treatment 4
- Co-authors
- Banu OnaralScott C. BunceMeltem İzzetoğluJames G. PipeKambiz PourrezaeiRyan K. RobisonKurtuluş İzzetoğluHasan Ayaz
- Journals
- Magnetic Resonance in Medicine (5 papers)Tomography (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Ajit Devaraj
18 papers receiving 622 citations
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 471
- Cognitive Neuroscience 149
- Biomedical Engineering 212
- Biophysics 25
- Cardiology and Cardiovascular Medicine 85
Countries citing papers authored by Ajit Devaraj
This map shows the geographic impact of Ajit Devaraj'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 Ajit Devaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Devaraj more than expected).
Fields of papers citing papers by Ajit Devaraj
This network shows the impact of papers produced by Ajit Devaraj. 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 Ajit Devaraj. The network helps show where Ajit Devaraj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ajit Devaraj, 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 | 2022 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 2 | |
| 4 | Short-Term Forecasting of Air Cargo Demand from a European Airport Hub to the United States during COVID-19 | 2021 | 1 |
| 5 | 2021 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 81 | |
| 11 | 2011 | 89 | |
| 12 | 2010 | 43 | |
| 13 | 2009 | 5 | |
| 14 | 2005 | 176 | |
| 15 | 2005 | 142 | |
| 16 | 2005 | 13 | |
| 17 | 2004 | 4 | |
| 18 | 2004 | 9 |
About Ajit Devaraj
Ajit Devaraj is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 633 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (471 citations), Cognitive Neuroscience (149 citations) and Biomedical Engineering (212 citations). Ajit Devaraj has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Banu Onaral, Scott C. Bunce, Meltem İzzetoğlu, James G. Pipe, Kambiz Pourrezaei, Ryan K. Robison, Kurtuluş İzzetoğlu, Hasan Ayaz, Tatjana Antic and Aritrick Chatterjee. Their work appears in journals such as Magnetic Resonance in Medicine, Tomography, IEEE Transactions on Biomedical Engineering, Medical Physics and Radiology.
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.