Chintan Parmar
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 30
- Medical Imaging Techniques and Applications 5
- Co-authors
- Hugo J.W.L. AertsAhmed HosnyJohn QuackenbushPhilippe LambinPatrick GroßmannJohan BussinkRegina G. H. Beets‐TanLawrence H. Schwartz
- Journals
- Scientific Reports (5 papers)PLoS ONE (4 papers)Medical Physics (3 papers)Clinical Cancer Research (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Chintan Parmar
36 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Health Informatics 1.4k
- Radiology, Nuclear Medicine and Imaging 13.5k
- Pulmonary and Respiratory Medicine 5.4k
- Otorhinolaryngology 529
- Artificial Intelligence 3.0k
Countries citing papers authored by Chintan Parmar
This map shows the geographic impact of Chintan Parmar'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 Chintan Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chintan Parmar more than expected).
Fields of papers citing papers by Chintan Parmar
This network shows the impact of papers produced by Chintan Parmar. 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 Chintan Parmar. The network helps show where Chintan Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Chintan Parmar, 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 | 2025 | 1 | |
| 2 | 2020 | 1 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 1 | |
| 5 | Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging Hit paper breakdown → | 2019 | 402 |
| 6 | Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers Hit paper breakdown → | 2019 | 372 |
| 7 | Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study Hit paper breakdown → | 2018 | 398 |
| 8 | Artificial intelligence in radiology Hit paper breakdown → | 2018 | 2301 |
| 9 | Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Hit paper breakdown → | 2017 | 304 |
| 10 | 2017 | 211 | |
| 11 | Computational Radiomics System to Decode the Radiographic Phenotype Hit paper breakdown → | 2017 | 4200 |
| 12 | 2017 | 84 | |
| 13 | 2017 | 46 | |
| 14 | 2017 | 118 | |
| 15 | 2016 | 132 | |
| 16 | 2016 | 8 | |
| 17 | Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology Hit paper breakdown → | 2016 | 299 |
| 18 | Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer Hit paper breakdown → | 2015 | 358 |
| 19 | Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hit paper breakdown → | 2014 | 3646 |
| 20 | 2013 | 168 |
About Chintan Parmar
Chintan Parmar is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Biomedical Engineering and Oncology, having authored 36 papers that have together received 15.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), Advanced X-ray and CT Imaging (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), AI in cancer detection (7 papers), Medical Imaging Techniques and Applications (5 papers), Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Health Informatics (1.4k citations), Radiology, Nuclear Medicine and Imaging (13.5k citations), Pulmonary and Respiratory Medicine (5.4k citations), Otorhinolaryngology (529 citations) and Artificial Intelligence (3.0k citations). Chintan Parmar has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Hugo J.W.L. Aerts, Ahmed Hosny, John Quackenbush, Philippe Lambin, Patrick Großmann, Johan Bussink, Regina G. H. Beets‐Tan, Lawrence H. Schwartz, Joost J. M. van Griethuysen and Vivek Narayan. Their work appears in journals such as Scientific Reports, PLoS ONE, Medical Physics, Clinical Cancer Research and Nature Communications.
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.