John Daniels
Impact in
- Software top 2%
- Model-Driven Software Engineering Techniques
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- Artificial Intelligence in Healthcare
Papers in
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- Diabetes Management and Research 8
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- ECG Monitoring and Analysis 5
- Co-authors
- Steve Cook (4 shared papers)Pantelis Georgiou (13 shared papers)Pau Herrero (8 shared papers)Kezhi Li (4 shared papers)Chengyuan Liu (1 shared paper)Doug Simon (1 shared paper)Cristina Cifuentes (1 shared paper)Derek White (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)Artificial Intelligence in Medicine (1 paper)International Journal of Infectious Diseases (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- United KingdomVietnamBangladesh
In The Last Decade
John Daniels
25 papers receiving 947 citations
Peers
Comparison fields: 5 of 104
- Software 190
- Health Information Management 106
- Endocrinology, Diabetes and Metabolism 250
- Information Systems 332
- Artificial Intelligence 435
Countries citing papers authored by John Daniels
This map shows the geographic impact of John Daniels'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 John Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Daniels more than expected).
Fields of papers citing papers by John Daniels
This network shows the impact of papers produced by John Daniels. 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 John Daniels. The network helps show where John Daniels may publish in the future.
Co-authors
The 25 scholars most cited alongside John Daniels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Uml Components: A Simple Process for Specifying Component-Based Software | 2000 | 257 |
| 2 | 2019 | 218 | |
| 3 | Designing object systems: object-oriented modelling with Syntropy | 1995 | 139 |
| 4 | 2006 | 133 | |
| 5 | 1999 | 97 | |
| 6 | 2022 | 85 | |
| 7 | Designing Object Systems | 1994 | 41 |
| 8 | 2022 | 20 | |
| 9 | 1997 | 15 | |
| 10 | 2019 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2002 | 8 | |
| 13 | 2006 | 6 | |
| 14 | 2024 | 5 | |
| 15 | Personalised Glucose Prediction via Deep Multitask Networks. | 2020 | 5 |
| 16 | 2018 | 5 | |
| 17 | Convolutional Recurrent Neural Networks for Blood Glucose Prediction. | 2018 | 4 |
| 18 | 2019 | 4 | |
| 19 | 2024 | 3 | |
| 20 | Strategies for Sharing Objects in Distributed Systems | 1993 | 3 |
About John Daniels
John Daniels is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Software and Computer Networks and Communications, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), ECG Monitoring and Analysis (5 papers), Model-Driven Software Engineering Techniques (4 papers), Machine Learning in Healthcare (2 papers), Simulation Techniques and Applications (2 papers), Pancreatic function and diabetes (2 papers), Fuzzy Logic and Control Systems (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Software (190 citations), Health Information Management (106 citations), Endocrinology, Diabetes and Metabolism (250 citations), Information Systems (332 citations) and Artificial Intelligence (435 citations). John Daniels has collaborated with scholars based in United Kingdom, Vietnam and Bangladesh. Frequent co-authors include Steve Cook, Pantelis Georgiou, Pau Herrero, Kezhi Li, Chengyuan Liu, Doug Simon, Cristina Cifuentes, Derek White, Philip Dyer and Thurl E. Harris. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence in Medicine, International Journal of Infectious Diseases, IEEE Journal of Biomedical and Health Informatics and IEEE Internet of Things Journal.
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.