David E. Robbins
Impact in
- Health Informatics top 10%
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Scientific Computing and Data Management 3
- Co-authors
- G. Ananth Prabhu (2 shared papers)Yudong Zhang (1 shared paper)Abhir Bhandary (1 shared paper)V. Rajinikanth (1 shared paper)N. Sri Madhava Raja (1 shared paper)João Manuel R. S. Tavares (1 shared paper)Palani Thanaraj Krishnan (1 shared paper)Suresh Chandra Satapathy (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)Journal of Religion & Spirituality in Social Work Social Thought (1 paper)Bioinformatics (1 paper)Journal of Pathology Informatics (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesFinlandQatar
In The Last Decade
David E. Robbins
10 papers receiving 519 citations
David E. Robbins's Hit Papers
Peers
Comparison fields: 5 of 98
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 245
- Infectious Diseases 178
- Animal Science and Zoology 47
- Artificial Intelligence 145
Countries citing papers authored by David E. Robbins
This map shows the geographic impact of David E. Robbins'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 David E. Robbins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Robbins more than expected).
Fields of papers citing papers by David E. Robbins
This network shows the impact of papers produced by David E. Robbins. 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 David E. Robbins. The network helps show where David E. Robbins may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Robbins, 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 | Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images Hit paper breakdown → | 2019 | 277 |
| 2 | 2003 | 120 | |
| 3 | 2003 | 76 | |
| 4 | 2012 | 34 | |
| 5 | 2013 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2011 | 9 | |
| 8 | 2021 | 2 | |
| 9 | Securities arbitration, 1989 | 1989 | 1 |
| 10 | 2013 | 1 | |
| 11 | Resolving securities disputes : arbitration and litigation | 1986 | 0 |
| 12 | 2021 | 0 |
About David E. Robbins
David E. Robbins is a scholar working on Molecular Biology, Information Systems and Management, Infectious Diseases, Strategy and Management and Clinical Psychology, having authored 12 papers that have together received 564 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Genomics and Phylogenetic Studies (2 papers), Migration, Health and Trauma (2 papers), Viral gastroenteritis research and epidemiology (2 papers), International Arbitration and Investment Law (2 papers), Religion, Society, and Development (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (245 citations), Infectious Diseases (178 citations), Animal Science and Zoology (47 citations) and Artificial Intelligence (145 citations). David E. Robbins has collaborated with scholars based in United States, Finland and Qatar. Frequent co-authors include G. Ananth Prabhu, Yudong Zhang, Abhir Bhandary, V. Rajinikanth, N. Sri Madhava Raja, João Manuel R. S. Tavares, Palani Thanaraj Krishnan, Suresh Chandra Satapathy, G. Shay Fout and Scott Seys. Their work appears in journals such as Pattern Recognition Letters, Journal of Religion & Spirituality in Social Work Social Thought, Bioinformatics, Journal of Pathology Informatics and The Journal of Infectious Diseases.
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.