Paige Bailey

1.2k total citations
3 papers, 21 citations indexed

About

Paige Bailey is a scholar working on General Health Professions, Oncology and Hardware and Architecture. According to data from OpenAlex, Paige Bailey has authored 3 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in General Health Professions, 1 paper in Oncology and 1 paper in Hardware and Architecture. Recurrent topics in Paige Bailey's work include Teaching and Learning Programming (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Model-Driven Software Engineering Techniques (1 paper). Paige Bailey is often cited by papers focused on Teaching and Learning Programming (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Model-Driven Software Engineering Techniques (1 paper). Paige Bailey collaborates with scholars based in United States. Paige Bailey's co-authors include Michele Catasta, Paul H. Wise, Stephanie M. Smith, Pengcheng Yin, Sejal Shah, Eli M. Cahan, Susan M. Fernandes, Yeming Wen, Ananta Addala and Kefan Xiao and has published in prestigious journals such as Academic Pediatrics.

In The Last Decade

Paige Bailey

3 papers receiving 20 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paige Bailey United States	3	6	4	3	3	3	3	21
Belong Cho South Korea	3	4 0.7×	7 1.8×		3 1.0×	6 2.0×	4	27
M Duque Colombia	2	5 0.8×	3 0.8×		3 1.0×		8	12
Martin Hilka France	3	3 0.5×	3 0.8×		2 0.7×	3 1.0×	4	18
Md Jillur Rahim United States	2	4 0.7×	6 1.5×		4 1.3×		2	7
Monica Jefford United Kingdom	3	6 1.0×	4 1.0×		2 0.7×		8	13
Ahmed Tarek Egypt	2	5 0.8×	7 1.8×		2 0.7×		3	14
Jobinse Jose India	3	5 0.8×	4 1.0×		2 0.7×		5	12
Yiming Cai China	1	5 0.8×	4 1.0×			2 0.7×	2	18
M. Hamid United Kingdom	4	2 0.3×	5 1.3×	2 0.7×	2 0.7×		11	27
Khaldoon Aied Alnawafleh Saudi Arabia	3	3 0.5×	6 1.5×			3 1.0×	10	29

Countries citing papers authored by Paige Bailey

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Paige Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Paige Bailey. A scholar is included among the top collaborators of Paige Bailey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paige Bailey. Paige Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Yin, Pengcheng, Kefan Xiao, Abhishek S. Rao, et al.. (2023). Natural Language to Code Generation in Interactive Data Science Notebooks. 126–173. 7 indexed citations

2.

Cahan, Eli M., Paige Bailey, Susan M. Fernandes, et al.. (2022). The Impact of Telehealth Adoption During COVID-19 Pandemic on Patterns of Pediatric Subspecialty Care Utilization. Academic Pediatrics. 22(8). 1375–1383. 11 indexed citations

3.

Bailey, Paige, Sofien Bouaziz, Shan Carter, et al.. (2019). Differentiable graphics with TensorFlow 2.0. 1–211. 3 indexed citations

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.

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