David E. Robbins
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Scientific Computing and Data Management 3
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- Electronic Health Records Systems 2
- Co-authors
- G. Ananth Prabhu (2 shared papers)João Manuel R. S. Tavares (1 shared paper)Yudong Zhang (1 shared paper)Nadaradjane Sri Madhava Raja (1 shared paper)Suresh Chandra Satapathy (1 shared paper)Abhir Bhandary (1 shared paper)Venkatesan Rajinikanth (1 shared paper)Jonas S. Almeida (3 shared papers)
- 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)Journal of Social Work (1 paper)
- Partner nations
- United StatesIrelandQatar
In The Last Decade
David E. Robbins
10 papers receiving 426 citations
David E. Robbins's Hit Papers
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 188
- Health Informatics 9
- Artificial Intelligence 121
- Computer Vision and Pattern Recognition 50
- Health Information Management 18
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 14 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 | 341 |
| 2 | 2012 | 37 | |
| 3 | 2013 | 28 | |
| 4 | 2019 | 20 | |
| 5 | 2011 | 10 | |
| 6 | 2013 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2011 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2013 | 1 | |
| 11 | 2023 | 0 |
About David E. Robbins
David E. Robbins is a scholar working on Information Systems and Management, Health Information Management, Public Administration, Biophysics and Health, having authored 11 papers that have together received 449 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Electronic Health Records Systems (2 papers), Advanced Software Engineering Methodologies (1 paper), Telemedicine and Telehealth Implementation (1 paper), Digital Transformation in Industry (1 paper), Traumatic Brain Injury Research (1 paper), Systems Engineering Methodologies and Applications (1 paper) and Migration, Health and Trauma (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (188 citations), Health Informatics (9 citations), Artificial Intelligence (121 citations), Computer Vision and Pattern Recognition (50 citations) and Health Information Management (18 citations). David E. Robbins has collaborated with scholars based in United States, Ireland and Qatar. Frequent co-authors include G. Ananth Prabhu, João Manuel R. S. Tavares, Yudong Zhang, Nadaradjane Sri Madhava Raja, Suresh Chandra Satapathy, Abhir Bhandary, Venkatesan Rajinikanth, Jonas S. Almeida, Murat M. Tanik and Helena Deus. 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 Journal of Social Work.
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.