Kartik Reddy
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Brain Tumor Detection and Classification
Papers in
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- Infant Nutrition and Health 5
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- Advanced MRI Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Anant Madabhushi (1 shared paper)Abhishek Midya (1 shared paper)Malak Abedalthagafi (1 shared paper)Sirvan Khalighi (1 shared paper)Krunal Pandav (1 shared paper)Parvesh Mohan Garg (7 shared papers)William B. Hillegass (6 shared papers)Abby Matthews (1 shared paper)
- Journals
- Pediatric Research (2 papers)Tomography (2 papers)American Journal of Neuroradiology (2 papers)Radiographics (1 paper)American Journal of Otolaryngology (1 paper)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Kartik Reddy
15 papers receiving 192 citations
Kartik Reddy's Hit Papers
Peers
Comparison fields: 5 of 50
- Health Informatics 15
- Neurology 31
- Nutrition and Dietetics 49
- Genetics 25
- Radiology, Nuclear Medicine and Imaging 40
Countries citing papers authored by Kartik Reddy
This map shows the geographic impact of Kartik Reddy'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 Kartik Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kartik Reddy more than expected).
Fields of papers citing papers by Kartik Reddy
This network shows the impact of papers produced by Kartik Reddy. 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 Kartik Reddy. The network helps show where Kartik Reddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Kartik Reddy, 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 | Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment Hit paper breakdown → | 2024 | 114 |
| 2 | 2021 | 35 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 |
About Kartik Reddy
Kartik Reddy is a scholar working on Nutrition and Dietetics, Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 16 papers that have together received 196 indexed citations. Recurring topics across this work include Infant Nutrition and Health (5 papers), Advanced MRI Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Neurological disorders and treatments (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Health Informatics (15 citations), Neurology (31 citations), Nutrition and Dietetics (49 citations), Genetics (25 citations) and Radiology, Nuclear Medicine and Imaging (40 citations). Kartik Reddy has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Anant Madabhushi, Abhishek Midya, Malak Abedalthagafi, Sirvan Khalighi, Krunal Pandav, Parvesh Mohan Garg, William B. Hillegass, Abby Matthews, Terrie E. Inder and Stephen B. Little. Their work appears in journals such as Pediatric Research, Tomography, American Journal of Neuroradiology, Radiographics and American Journal of Otolaryngology.
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.