Max Denis
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Ultrasound Imaging and Elastography 20
- COVID-19 diagnosis using AI 3
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- Photoacoustic and Ultrasonic Imaging 8
- Co-authors
- Azra Alizad (25 shared papers)Mostafa Fatemi (25 shared papers)Mahdi Bayat (17 shared papers)Adriana Gregory (18 shared papers)Timothy Oladunni (6 shared papers)Paul Cotae (2 shared papers)Viksit Kumar (11 shared papers)Mohammad Mehrmohammadi (11 shared papers)
- Journals
- The Journal of the Acoustical Society of America (10 papers)PLoS ONE (9 papers)Ultrasound in Medicine & Biology (2 papers)Scientific Reports (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United StatesIndonesiaJapan
In The Last Decade
Max Denis
43 papers receiving 651 citations
Max Denis's Hit Papers
Peers
Comparison fields: 5 of 107
- Radiology, Nuclear Medicine and Imaging 279
- Health Informatics 8
- Artificial Intelligence 157
- Urology 26
- Biomedical Engineering 165
Countries citing papers authored by Max Denis
This map shows the geographic impact of Max Denis'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 Max Denis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Denis more than expected).
Fields of papers citing papers by Max Denis
This network shows the impact of papers produced by Max Denis. 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 Max Denis. The network helps show where Max Denis may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Denis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset Hit paper breakdown → | 2022 | 137 |
| 2 | 2018 | 88 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 41 | |
| 5 | 2016 | 36 | |
| 6 | 2015 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2018 | 25 | |
| 9 | 2015 | 25 | |
| 10 | 2017 | 25 | |
| 11 | 2021 | 25 | |
| 12 | 2015 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2004 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2025 | 5 |
About Max Denis
Max Denis is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanics of Materials, Artificial Intelligence and Oceanography, having authored 48 papers that have together received 660 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (20 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Photoacoustic and Ultrasonic Imaging (8 papers), Underwater Acoustics Research (4 papers), Speech and Audio Processing (4 papers), Anomaly Detection Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers) and Seismic Waves and Analysis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (279 citations), Health Informatics (8 citations), Artificial Intelligence (157 citations), Urology (26 citations) and Biomedical Engineering (165 citations). Max Denis has collaborated with scholars based in United States, Indonesia and Japan. Frequent co-authors include Azra Alizad, Mostafa Fatemi, Mahdi Bayat, Adriana Gregory, Timothy Oladunni, Paul Cotae, Viksit Kumar, Mohammad Mehrmohammadi, Robert T. Fazzio and Dana H. Whaley. Their work appears in journals such as The Journal of the Acoustical Society of America, PLoS ONE, Ultrasound in Medicine & Biology, Scientific Reports and Breast Cancer Research.
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.