Eric B. Durbin
Impact in
- Health Informatics top 5%
- Finance top 5%
- Credit Risk and Financial Regulations
Papers in
- Oncology 22
- Global Cancer Incidence and Screening 11
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- Topic Modeling 12
- Machine Learning in Healthcare 7
- AI in cancer detection 6
- Co-authors
- David T. Ng (4 shared papers)Bin Huang (15 shared papers)Georgia D. Tourassi (14 shared papers)Xiao‐Cheng Wu (15 shared papers)Michael A. Salinger (1 shared paper)Shang Gao (11 shared papers)Linda Coyle (13 shared papers)Hong‐Jun Yoon (11 shared papers)
- Journals
- JCO Clinical Cancer Informatics (6 papers)Journal of Biomedical Informatics (4 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Cancer (2 papers)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Eric B. Durbin
67 papers receiving 1.3k citations
Eric B. Durbin's Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 34
- Finance 135
- Oncology 330
- Health Information Management 55
- Artificial Intelligence 303
Countries citing papers authored by Eric B. Durbin
This map shows the geographic impact of Eric B. Durbin'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 Eric B. Durbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric B. Durbin more than expected).
Fields of papers citing papers by Eric B. Durbin
This network shows the impact of papers produced by Eric B. Durbin. 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 Eric B. Durbin. The network helps show where Eric B. Durbin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric B. Durbin, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 117 | |
| 2 | 2021 | 104 | |
| 3 | 2014 | 93 | |
| 4 | Counts, incidence rates, and trends of pediatric cancer in the United States, 2003-2019 Hit paper breakdown → | 2023 | 66 |
| 5 | 2014 | 62 | |
| 6 | 2007 | 62 | |
| 7 | 2008 | 62 | |
| 8 | 2016 | 52 | |
| 9 | 2016 | 48 | |
| 10 | 2019 | 44 | |
| 11 | 2015 | 43 | |
| 12 | 2018 | 39 | |
| 13 | 2021 | 37 | |
| 14 | 2020 | 33 | |
| 15 | 2020 | 31 | |
| 16 | 2009 | 28 | |
| 17 | 2020 | 28 | |
| 18 | 2019 | 26 | |
| 19 | 2021 | 25 | |
| 20 | Automatic Extraction of ICD-O-3 Primary Sites from Cancer Pathology Reports. | 2013 | 22 |
About Eric B. Durbin
Eric B. Durbin is a scholar working on Oncology, Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine and Management Science and Operations Research, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Biomedical Text Mining and Ontologies (11 papers), Global Cancer Incidence and Screening (11 papers), Cancer Genomics and Diagnostics (7 papers), Machine Learning in Healthcare (7 papers), AI in cancer detection (6 papers), Data Quality and Management (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (34 citations), Finance (135 citations), Oncology (330 citations), Health Information Management (55 citations) and Artificial Intelligence (303 citations). Eric B. Durbin has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include David T. Ng, Bin Huang, Georgia D. Tourassi, Xiao‐Cheng Wu, Michael A. Salinger, Shang Gao, Linda Coyle, Hong‐Jun Yoon, T. C. Tucker and John L. Villano. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of Biomedical Informatics, IEEE Journal of Biomedical and Health Informatics, Cancer and JNCI Journal of the National Cancer Institute.
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.