Paige Bailey
Impact in
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- Scientific Computing and Data Management
Papers in
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- Parallel Computing and Optimization Techniques 1
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- Topic Modeling 1
- Natural Language Processing Techniques 1
- Computational Physics and Python Applications 1
- Co-authors
- Lisa Chamberlain (1 shared paper)Paul H. Wise (1 shared paper)Michele Catasta (1 shared paper)Henryk Michalewski (1 shared paper)Charles Sutton (1 shared paper)Olga Saynina (1 shared paper)Sejal Shah (1 shared paper)Ananta Addala (1 shared paper)
- Journals
- Academic Pediatrics (1 paper)
- Partner nations
- United States
In The Last Decade
Paige Bailey
3 papers receiving 23 citations
Peers
Comparison fields: 5 of 23
- Information Systems and Management 2
- Computer Graphics and Computer-Aided Design 1
- Computer Vision and Pattern Recognition 5
- Applied Psychology 1
- Public Health, Environmental and Occupational Health 5
Countries citing papers authored by Paige Bailey
This map shows the geographic impact of Paige Bailey'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 Paige Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paige Bailey more than expected).
Fields of papers citing papers by Paige Bailey
This network shows the impact of papers produced by Paige Bailey. 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 Paige Bailey. The network helps show where Paige Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Paige Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Paige Bailey
Paige Bailey is a scholar working on Hardware and Architecture, Artificial Intelligence, Public Health, Environmental and Occupational Health, Computer Science Applications and Software, having authored 3 papers that have together received 24 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (1 paper), Teaching and Learning Programming (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper), Computational Physics and Python Applications (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Information Systems and Management (2 citations), Computer Graphics and Computer-Aided Design (1 citation), Computer Vision and Pattern Recognition (5 citations), Applied Psychology (1 citation) and Public Health, Environmental and Occupational Health (5 citations). Paige Bailey has collaborated with scholars based in United States. Frequent co-authors include Lisa Chamberlain, Paul H. Wise, Michele Catasta, Henryk Michalewski, Charles Sutton, Olga Saynina, Sejal Shah, Ananta Addala, Pengcheng Yin and Kefan Xiao. Their work appears in journals such as Academic Pediatrics.
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.