Mark Landis
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
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- Lung Cancer Diagnosis and Treatment 10
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 5
- Co-authors
- Shuo Li (5 shared papers)John P. Capone (1 shared paper)Yunliang Cai (3 shared papers)David A. Palma (12 shared papers)George Rodrigues (8 shared papers)Alexander V. Louie (9 shared papers)Roya Etemad‐Rezai (4 shared papers)Manas Sharma (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (6 papers)Canadian Medical Association Journal (2 papers)Radiology (2 papers)Radiotherapy and Oncology (1 paper)Oral Oncology (1 paper)
- Partner nations
- CanadaNetherlandsUnited States
In The Last Decade
Mark Landis
22 papers receiving 559 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 234
- Radiation 84
- Health Informatics 9
- Pulmonary and Respiratory Medicine 205
- Surgery 227
Countries citing papers authored by Mark Landis
This map shows the geographic impact of Mark Landis'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 Mark Landis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Landis more than expected).
Fields of papers citing papers by Mark Landis
This network shows the impact of papers produced by Mark Landis. 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 Mark Landis. The network helps show where Mark Landis may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Landis, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2016 | 70 | |
| 3 | 2005 | 66 | |
| 4 | 2002 | 65 | |
| 5 | 2015 | 48 | |
| 6 | 2014 | 45 | |
| 7 | 2015 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 23 | |
| 11 | 2009 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2017 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 6 | |
| 16 | 2006 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2017 | 1 |
About Mark Landis
Mark Landis is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering and Otorhinolaryngology, having authored 25 papers that have together received 571 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (5 papers), Medical Imaging and Analysis (4 papers), Head and Neck Cancer Studies (3 papers), Atomic and Subatomic Physics Research (2 papers), Abdominal vascular conditions and treatments (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (234 citations), Radiation (84 citations), Health Informatics (9 citations), Pulmonary and Respiratory Medicine (205 citations) and Surgery (227 citations). Mark Landis has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Shuo Li, John P. Capone, Yunliang Cai, David A. Palma, George Rodrigues, Alexander V. Louie, Roya Etemad‐Rezai, Manas Sharma, Anat Kornecki and Suresh Senan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Canadian Medical Association Journal, Radiology, Radiotherapy and Oncology and Oral Oncology.
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.