D. A. Bell
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Cervical Cancer and HPV Research
Papers in
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- Distributed and Parallel Computing Systems 1
- Co-authors
- James Pierce (1 shared paper)Brian Befano (1 shared paper)Ana Cecilia Rodríguez (1 shared paper)Benjamin Wilson (1 shared paper)Nicolas Wentzensen (1 shared paper)Robert D. Burk (1 shared paper)Mark Schiffman (1 shared paper)L. Rodney Long (1 shared paper)
- Journals
- Software Practice and Experience (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)JNCI Journal of the National Cancer Institute (1 paper)SPE Drilling & Completion (1 paper)Journal of Inflammation (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
D. A. Bell
10 papers receiving 346 citations
D. A. Bell's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 27
- Epidemiology 161
- Artificial Intelligence 141
- Radiology, Nuclear Medicine and Imaging 69
- Health Information Management 10
Countries citing papers authored by D. A. Bell
This map shows the geographic impact of D. A. Bell'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 D. A. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. A. Bell more than expected).
Fields of papers citing papers by D. A. Bell
This network shows the impact of papers produced by D. A. Bell. 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 D. A. Bell. The network helps show where D. A. Bell may publish in the future.
Co-authors
The 23 scholars most cited alongside D. A. Bell, 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 | An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening Hit paper breakdown → | 2018 | 283 |
| 2 | 1954 | 36 | |
| 3 | 1985 | 19 | |
| 4 | 1971 | 14 | |
| 5 | 2003 | 7 | |
| 6 | 2016 | 6 | |
| 7 | 1963 | 4 | |
| 8 | 1998 | 3 | |
| 9 | 1971 | 3 | |
| 10 | 2013 | 1 | |
| 11 | 1954 | 1 |
About D. A. Bell
D. A. Bell is a scholar working on Epidemiology, Computer Networks and Communications, Sociology and Political Science, Pulmonary and Respiratory Medicine and Ocean Engineering, having authored 11 papers that have together received 377 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Drilling and Well Engineering (1 paper), Distributed and Parallel Computing Systems (1 paper), Vietnamese History and Culture Studies (1 paper), Asthma and respiratory diseases (1 paper), Embedded Systems Design Techniques (1 paper) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Health Informatics (27 citations), Epidemiology (161 citations), Artificial Intelligence (141 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Health Information Management (10 citations). D. A. Bell has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include James Pierce, Brian Befano, Ana Cecilia Rodríguez, Benjamin Wilson, Nicolas Wentzensen, Robert D. Burk, Mark Schiffman, L. Rodney Long, Liming Hu and Matthew P. Horning. Their work appears in journals such as Software Practice and Experience, Journal of the Royal Statistical Society Series C (Applied Statistics), JNCI Journal of the National Cancer Institute, SPE Drilling & Completion and Journal of Inflammation.
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.