Ian Goethert
Impact in
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- Scientific Computing and Data Management
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- Data Quality and Management
Papers in
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- AI in cancer detection 1
- Machine Learning in Healthcare 1
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- Prostate Cancer Diagnosis and Treatment 1
- Co-authors
- Edmon Begoli (2 shared papers)Susana B. Martins (1 shared paper)Benjamin H. McMahon (1 shared paper)Gregory D. Peterson (1 shared paper)Ioana Danciu (3 shared papers)Jodie Trafton (1 shared paper)Amy C. Justice (2 shared papers)H. A. Ayala Solares (1 shared paper)
- Journals
- The Journal of Pediatrics (1 paper)Journal of the American Medical Informatics Association (1 paper)Communications Medicine (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)
- Partner nations
- United States
In The Last Decade
Ian Goethert
3 papers receiving 25 citations
Peers
Comparison fields: 5 of 27
- Information Systems and Management 4
- Management Science and Operations Research 7
- Management Information Systems 5
- Toxicology 1
- Signal Processing 3
Countries citing papers authored by Ian Goethert
This map shows the geographic impact of Ian Goethert'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 Ian Goethert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Goethert more than expected).
Fields of papers citing papers by Ian Goethert
This network shows the impact of papers produced by Ian Goethert. 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 Ian Goethert. The network helps show where Ian Goethert may publish in the future.
Co-authors
The 24 scholars most cited alongside Ian Goethert, 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 | 2021 | 15 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 5 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 |
About Ian Goethert
Ian Goethert is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Information Systems, Information Systems and Management and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 26 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Scientific Computing and Data Management (1 paper), Research Data Management Practices (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), AI in cancer detection (1 paper), Machine Learning in Healthcare (1 paper), Medical Imaging and Analysis (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Information Systems and Management (4 citations), Management Science and Operations Research (7 citations), Management Information Systems (5 citations), Toxicology (1 citation) and Signal Processing (3 citations). Ian Goethert has collaborated with scholars based in United States. Frequent co-authors include Edmon Begoli, Susana B. Martins, Benjamin H. McMahon, Gregory D. Peterson, Ioana Danciu, Jodie Trafton, Amy C. Justice, H. A. Ayala Solares, Sudarshan K. Srinivasan and Suzanne Tamang. Their work appears in journals such as The Journal of Pediatrics, Journal of the American Medical Informatics Association, Communications Medicine and 2021 IEEE International Conference on Big Data (Big Data).
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.