John Daniels

26 papers receiving 1.2k citations

Peers

John Daniels
Comparison fields: 5 of 104
  • Software 258
  • Health Information Management 110
  • Information Systems 433
  • Endocrinology, Diabetes and Metabolism 254
  • Artificial Intelligence 565
Replace Raoul Praful Jetley with:
Raoul Praful Jetley India
Vittoria Nardone Italy
Sanjian Chen United States
Sa’ed Abed Kuwait
Otmane Aı̈t Mohamed Canada
Senlin Luo China
Eunkyoung Jee South Korea
Željko Žilić Canada
Paul G. Rubel France
John Daniels relative to Raoul Praful Jetley India Raoul Praful Jetley's profile →
Citations per field
00.5×5×10×13.4×
Raoul Praful Jetley · 1×
Citations per year

Countries citing papers authored by John Daniels

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Daniels Line = papers co-authored together John Daniels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uml Components: A Simple Process for Specifying Component-Based Software
2000326
2 2019231
3
Designing object systems: object-oriented modelling with Syntropy
1995205
4 2006158
5 199997
6 202294
7
Designing object systems
199466
8 202221
9 199718
10 200213
11 201913
12 202410
13
Strategies for Sharing Objects in Distributed Systems
19937
14 20066
15 20246
16 20185
17
Personalised Glucose Prediction via Deep Multitask Networks.
20205
18 20244
19 20194
20 20083

About John Daniels

John Daniels is a scholar working on Endocrinology, Diabetes and Metabolism, Software, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Statistics and Probability, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Model-Driven Software Engineering Techniques (4 papers), ECG Monitoring and Analysis (4 papers), Pancreatic function and diabetes (2 papers), Simulation Techniques and Applications (2 papers), Real-Time Systems Scheduling (1 paper), Obstructive Sleep Apnea Research (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Software (258 citations), Health Information Management (110 citations), Information Systems (433 citations), Endocrinology, Diabetes and Metabolism (254 citations) and Artificial Intelligence (565 citations). John Daniels has collaborated with scholars based in United Kingdom, Vietnam and United States. Frequent co-authors include Steve Cook, Pantelis Georgiou, Pau Herrero, Kezhi Li, Chengyuan Liu, Derek A. White, Cristina Cifuentes, Doug Simon, Philip Dyer and Taiyu Zhu. Their work appears in journals such as International Journal of Infectious Diseases, Expert Systems with Applications, Sensors, Artificial Intelligence in Medicine and EBioMedicine.

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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