Deepthi Karkada
Impact in
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- Glioma Diagnosis and Treatment
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- Brain Tumor Detection and Classification
Papers in
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- AI in cancer detection 1
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 1
- Co-authors
- Sarthak Pati (3 shared papers)Prashant Shah (3 shared papers)Chiharu Sako (1 shared paper)Siddhesh Thakur (3 shared papers)Vikram A. Saletore (1 shared paper)Spyridon Bakas (3 shared papers)MacLean P. Nasrallah (1 shared paper)Alexander Kozlov (1 shared paper)
- Journals
- Computers in Biology and Medicine (1 paper)Language Resources and Evaluation (1 paper)Neuro-Oncology (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Deepthi Karkada
3 papers receiving 7 citations
Peers
Comparison fields: 5 of 9
- Genetics 3
- Neurology 2
- Radiology, Nuclear Medicine and Imaging 5
- Artificial Intelligence 3
- Experimental and Cognitive Psychology 1
Countries citing papers authored by Deepthi Karkada
This map shows the geographic impact of Deepthi Karkada'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 Deepthi Karkada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepthi Karkada more than expected).
Fields of papers citing papers by Deepthi Karkada
This network shows the impact of papers produced by Deepthi Karkada. 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 Deepthi Karkada. The network helps show where Deepthi Karkada may publish in the future.
Co-authors
The 9 scholars most cited alongside Deepthi Karkada, 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 | 5 | |
| 2 | 2018 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2025 | 0 | |
| 5 | RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions. | 2020 | 0 |
About Deepthi Karkada
Deepthi Karkada is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 5 papers that have together received 7 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Natural Language Processing Techniques (2 papers), Brain Tumor Detection and Classification (2 papers), Topic Modeling (2 papers), AI in cancer detection (1 paper), COVID-19 diagnosis using AI (1 paper), Medical Image Segmentation Techniques (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Genetics (3 citations), Neurology (2 citations), Radiology, Nuclear Medicine and Imaging (5 citations), Artificial Intelligence (3 citations) and Experimental and Cognitive Psychology (1 citation). Deepthi Karkada has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sarthak Pati, Prashant Shah, Chiharu Sako, Siddhesh Thakur, Vikram A. Saletore, Spyridon Bakas, MacLean P. Nasrallah, Alexander Kozlov and Suyash Mohan. Their work appears in journals such as Computers in Biology and Medicine, Language Resources and Evaluation, Neuro-Oncology and Lecture notes in computer science.
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.