Tony Tadic
- Radiation top 5%
- Advanced Radiotherapy Techniques 17
- Health Informatics top 10%
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- Advanced MRI Techniques and Applications 15
- Radiomics and Machine Learning in Medical Imaging 12
- Medical Imaging Techniques and Applications 10
- MRI in cancer diagnosis 5
- Otorhinolaryngology top 10%
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- Lung Cancer Diagnosis and Treatment 6
- Radiation Therapy and Dosimetry 4
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- AI in cancer detection 4
- Co-authors
- B. G. FalloneDavid A. JaffrayBenjamin Haibe‐KainsScott V. BratmanReza ReiaziFei‐Fei LiuCharles KirkbyBrad Warkentin
- Journals
- Medical Physics (9 papers)Radiotherapy and Oncology (8 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Tony Tadic
38 papers receiving 375 citations
Peers
Comparison fields: 5 of 60
- Radiation 152
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 266
- Otorhinolaryngology 23
- Pulmonary and Respiratory Medicine 132
Countries citing papers authored by Tony Tadic
This map shows the geographic impact of Tony Tadic'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 Tony Tadic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Tadic more than expected).
Fields of papers citing papers by Tony Tadic
This network shows the impact of papers produced by Tony Tadic. 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 Tony Tadic. The network helps show where Tony Tadic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tony Tadic, 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 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 52 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 20 | |
| 16 | 2019 | 17 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 21 | |
| 19 | 2012 | 51 | |
| 20 | 2012 | 3 |
About Tony Tadic
Tony Tadic is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Health Information Management, having authored 42 papers that have together received 385 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (17 papers), Advanced MRI Techniques and Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (10 papers), Lung Cancer Diagnosis and Treatment (6 papers), MRI in cancer diagnosis (5 papers), AI in cancer detection (4 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiation (152 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (266 citations), Otorhinolaryngology (23 citations) and Pulmonary and Respiratory Medicine (132 citations). Tony Tadic has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include B. G. Fallone, David A. Jaffray, Benjamin Haibe‐Kains, Scott V. Bratman, Reza Reiazi, Fei‐Fei Liu, Charles Kirkby, Brad Warkentin, S Rathee and Andrew Hope. Their work appears in journals such as Medical Physics, Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Physics and Imaging in Radiation Oncology and IEEE Transactions on Magnetics.
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.