Robert Ochs
Impact in
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Tracheal and airway disorders
- Lung Cancer Diagnosis and Treatment
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- Systemic Sclerosis and Related Diseases
Papers in
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- Lung Cancer Diagnosis and Treatment 3
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Jonathan Goldin (6 shared papers)Hyun J. Kim (4 shared papers)Fereidoun Abtin (4 shared papers)Sumit K. Shah (1 shared paper)Gang Li (1 shared paper)Robert M. Elashoff (1 shared paper)Iva Petkovska (2 shared papers)Matthew S. Brown (2 shared papers)
- Journals
- Academic Radiology (3 papers)JNCI Journal of the National Cancer Institute (1 paper)Journal of Medical Imaging (1 paper)Journal of Imaging Informatics in Medicine (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (4 papers)
- Partner nations
- United StatesGermanyMalaysia
In The Last Decade
Robert Ochs
10 papers receiving 118 citations
Peers
Comparison fields: 5 of 25
- Pulmonary and Respiratory Medicine 66
- Pathology and Forensic Medicine 29
- Health Informatics 2
- Speech and Hearing 8
- Anesthesiology and Pain Medicine 6
Countries citing papers authored by Robert Ochs
This map shows the geographic impact of Robert Ochs'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 Robert Ochs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ochs more than expected).
Fields of papers citing papers by Robert Ochs
This network shows the impact of papers produced by Robert Ochs. 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 Robert Ochs. The network helps show where Robert Ochs may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Ochs, 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 | 2008 | 58 | |
| 2 | 2008 | 30 | |
| 3 | 2007 | 12 | |
| 4 | 2019 | 9 | |
| 5 | 2006 | 5 | |
| 6 | 2009 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2007 | 1 | |
| 10 | 2008 | 1 |
About Robert Ochs
Robert Ochs is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pathology and Forensic Medicine and Health Information Management, having authored 10 papers that have together received 120 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), AI in cancer detection (2 papers), Artificial Intelligence in Healthcare (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced X-ray and CT Imaging (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (66 citations), Pathology and Forensic Medicine (29 citations), Health Informatics (2 citations), Speech and Hearing (8 citations) and Anesthesiology and Pain Medicine (6 citations). Robert Ochs has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Jonathan Goldin, Hyun J. Kim, Fereidoun Abtin, Sumit K. Shah, Gang Li, Robert M. Elashoff, Iva Petkovska, Matthew S. Brown, David W. Gjertson and Christoph Panknin. Their work appears in journals such as Academic Radiology, JNCI Journal of the National Cancer Institute, Journal of Medical Imaging, Journal of Imaging Informatics in Medicine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.