Daniel Appelbaum
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 5%
Papers in ⓘ
-
- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Yonglin Pu (20 shared papers)Kunio Doi (5 shared papers)Junji Shiraishi (4 shared papers)Qiang Li (1 shared paper)Kristen Wroblewski (3 shared papers)Bill C. Penney (4 shared papers)Cassie A. Simon (3 shared papers)Ravi Salgia (2 shared papers)
- Journals
- Academic Radiology (2 papers)Acta Radiologica (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Blood (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel Appelbaum
35 papers receiving 931 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 547
- Health Informatics 29
- Pulmonary and Respiratory Medicine 424
- Cancer Research 118
- Oncology 162
Countries citing papers authored by Daniel Appelbaum
This map shows the geographic impact of Daniel Appelbaum'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 Daniel Appelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Appelbaum more than expected).
Fields of papers citing papers by Daniel Appelbaum
This network shows the impact of papers produced by Daniel Appelbaum. 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 Daniel Appelbaum. The network helps show where Daniel Appelbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Appelbaum, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 246 | |
| 2 | 2011 | 142 | |
| 3 | 2010 | 93 | |
| 4 | 2007 | 80 | |
| 5 | 2012 | 47 | |
| 6 | Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. | 2006 | 38 |
| 7 | 2013 | 37 | |
| 8 | 2012 | 35 | |
| 9 | 2010 | 29 | |
| 10 | 2008 | 26 | |
| 11 | 2015 | 23 | |
| 12 | 2015 | 20 | |
| 13 | 2006 | 20 | |
| 14 | 2018 | 15 | |
| 15 | 2010 | 12 | |
| 16 | 2007 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2003 | 7 |
About Daniel Appelbaum
Daniel Appelbaum is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Family Practice and Cancer Research, having authored 38 papers that have together received 952 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Treatments and Mutations (5 papers), Renal cell carcinoma treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (547 citations), Health Informatics (29 citations), Pulmonary and Respiratory Medicine (424 citations), Cancer Research (118 citations) and Oncology (162 citations). Daniel Appelbaum has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yonglin Pu, Kunio Doi, Junji Shiraishi, Qiang Li, Kristen Wroblewski, Bill C. Penney, Cassie A. Simon, Ravi Salgia, Hao Zhang and Chin-Tu Chen. Their work appears in journals such as Academic Radiology, Acta Radiologica, European Journal of Nuclear Medicine and Molecular Imaging, Blood and Medical Physics.
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.