Juliana Bowles

632 total citations
34 papers, 248 citations indexed

About

Juliana Bowles is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Juliana Bowles has authored 34 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in Juliana Bowles's work include Model-Driven Software Engineering Techniques (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Business Process Modeling and Analysis (6 papers). Juliana Bowles is often cited by papers focused on Model-Driven Software Engineering Techniques (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Business Process Modeling and Analysis (6 papers). Juliana Bowles collaborates with scholars based in United Kingdom, Austria and Germany. Juliana Bowles's co-authors include Frank Sullivan, Katherine Keenan, Calum McHale, Dulani Meedeniya, Geneviève Cézard, Behzad Bordbar, Michelle Greiver, Alys Havard, Katie Harron and Sarah Rodgers and has published in prestigious journals such as Medical Physics, BMJ Open and Engineering Applications of Artificial Intelligence.

In The Last Decade

Juliana Bowles

30 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juliana Bowles United Kingdom 8 67 51 50 41 34 34 248
Jens Weber Canada 9 40 0.6× 77 1.5× 49 1.0× 76 1.9× 15 0.4× 50 304
S. M. Ornstein United States 9 95 1.4× 16 0.3× 38 0.8× 70 1.7× 13 0.4× 16 454
Lucy Hederman Ireland 10 47 0.7× 25 0.5× 61 1.2× 37 0.9× 4 0.1× 33 241
Georg Duftschmid Austria 17 45 0.7× 42 0.8× 109 2.2× 156 3.8× 8 0.2× 61 653
Dongwen Wang United States 7 40 0.6× 54 1.1× 127 2.5× 56 1.4× 7 0.2× 23 405
S. Sengupta United States 12 41 0.6× 53 1.0× 89 1.8× 127 3.1× 6 0.2× 19 537
Jungyeon Kim United States 10 57 0.9× 38 0.7× 19 0.4× 47 1.1× 12 0.4× 26 317
Adela Grando United States 12 23 0.3× 47 0.9× 106 2.1× 152 3.7× 6 0.2× 64 514
Michelle Alvarado United States 9 18 0.3× 14 0.3× 12 0.2× 74 1.8× 5 0.1× 28 279
David Shields United States 13 22 0.3× 59 1.2× 76 1.5× 33 0.8× 14 0.4× 28 511

Countries citing papers authored by Juliana Bowles

Since Specialization
Citations

This map shows the geographic impact of Juliana Bowles'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 Juliana Bowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliana Bowles more than expected).

Fields of papers citing papers by Juliana Bowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliana Bowles. 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 Juliana Bowles. The network helps show where Juliana Bowles may publish in the future.

Co-authorship network of co-authors of Juliana Bowles

This figure shows the co-authorship network connecting the top 25 collaborators of Juliana Bowles. A scholar is included among the top collaborators of Juliana Bowles 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 Juliana Bowles. Juliana Bowles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Mohit, Sukhvir Singh, & Juliana Bowles. (2024). Variational Bayesian deep fuzzy models for interpretable classification. Engineering Applications of Artificial Intelligence. 132. 107900–107900. 1 indexed citations
2.
Bowles, Juliana, et al.. (2023). Representation Theorems Obtained by Mining across Web Sources for Hints. St Andrews Research Repository (St Andrews Research Repository). 9. 203–210.
3.
Bowles, Juliana, et al.. (2023). The Need for a Non-Invasive Technology for Endometriosis Detection and Care. Studies in health technology and informatics. 302. 103–107.
4.
Belk, Marios, et al.. (2022). Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations. St Andrews Research Repository (St Andrews Research Repository). 4(1). 1–40. 8 indexed citations
5.
Webber, Thais, et al.. (2022). Evaluating a Smart Healthcare System Design Through Participatory Approach. Studies in health technology and informatics. 295. 312–315. 1 indexed citations
6.
Cézard, Geneviève, Calum McHale, Frank Sullivan, Juliana Bowles, & Katherine Keenan. (2021). Studying trajectories of multimorbidity: a systematic scoping review of longitudinal approaches and evidence. BMJ Open. 11(11). e048485–e048485. 65 indexed citations
7.
Bowles, Juliana, et al.. (2021). On the Benefits and Security Risks of a User-Centric Data Sharing Platform for Healthcare Provision. 351–356. 1 indexed citations
8.
Bowles, Juliana, et al.. (2021). From Data to Models and Back. Lecture notes in computer science. 2 indexed citations
9.
Bowles, Juliana, et al.. (2020). Tackling Polypharmacy: A Multi-Source Decision Support System. Studies in health technology and informatics. 270. 688–692. 1 indexed citations
10.
Bowles, Juliana, et al.. (2020). Integrating Healthcare Data for Enhanced Citizen-Centred Care and Analytics. Studies in health technology and informatics. 275. 17–21. 6 indexed citations
11.
Greiver, Michelle, Alys Havard, Juliana Bowles, et al.. (2020). Trends in diabetes medication use in Australia, Canada, England, and Scotland: a repeated cross-sectional analysis in primary care. British Journal of General Practice. 71(704). e209–e218. 29 indexed citations
12.
Ford, Elizabeth, Andy Boyd, Juliana Bowles, et al.. (2019). Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond. Learning Health Systems. 3(3). e10191–e10191. 39 indexed citations
13.
Bowles, Juliana, et al.. (2019). A framework for automated conflict detection and resolution in medical guidelines. Science of Computer Programming. 182. 42–63. 4 indexed citations
14.
Bowles, Juliana, et al.. (2019). Security And Privacy Of Medical Data. Discovery Research Portal (University of Dundee). 213–214.
15.
Bowles, Juliana, et al.. (2017). An integrated framework for verifying multiple care pathways. St Andrews Research Repository (St Andrews Research Repository). 1–8. 6 indexed citations
16.
Bowles, Juliana, et al.. (2016). Weaving True-Concurrent Aspects Using Constraint Solvers. University of Birmingham Research Portal (University of Birmingham). 4. 35–44. 3 indexed citations
17.
Meedeniya, Dulani, Juliana Bowles, & Indika Perera. (2014). SD2CPN: A model transformation tool for software design models. 803. 354–359. 4 indexed citations
18.
Bowles, Juliana & Leı̈la Kloul. (2010). Synthesising PEPA nets from IODs for performance analysis. 195–200. 3 indexed citations
19.
Bowles, Juliana & Behzad Bordbar. (2007). A Formal Model for Integrating Multiple Views. University of Birmingham Research Portal (University of Birmingham). 2306. 71–79. 7 indexed citations
20.
Bowles, Juliana, et al.. (1999). On Dynamic Aspects of OOD Frameworks in Component-based Software Development in Computational Logic. 2 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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