John Daniels

1.8k citations
29 papers · 1.1k indexed · h-index 10

John Daniels

25 papers receiving 931 citations

Peers

John Daniels
Comparison fields: 5 of 111
  • Software 191
  • Health Information Management 119
  • Endocrinology, Diabetes and Metabolism 277
  • Information Systems 331
  • Artificial Intelligence 446
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Citations per field
00.5×10×14.6×
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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-authorship network

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
#Work
1 20245
2 20245
3 20243
4 20230
5 202281
6 2019215
7
Convolutional Recurrent Neural Networks for Blood Glucose Prediction.
20184
8
Seeing RED: A new statistical solution to an old categorical data problem
20161
9 20083
10
DEVELOPING PROJECTS BASED ON STUDENTS' DATA IN INTRODUCTORY STATISTICS
20060
11 20028
12
Component Contracts
20001
13 20001
14 199996
15 199715
16
Designing object systems: object-oriented modelling with Syntropy
1995139
17
Essential techniques for object-oriented design
19941
18
Designing Object Systems
199441
19
Object design methods and tools
19942
20
Strategies for Sharing Objects in Distributed Systems
19933

About John Daniels

John Daniels is a scholar working on Software, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), ECG Monitoring and Analysis (5 papers), Model-Driven Software Engineering Techniques (4 papers), Pancreatic function and diabetes (3 papers), Simulation Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers), Mosquito-borne diseases and control (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Software (191 citations), Health Information Management (119 citations) and Endocrinology, Diabetes and Metabolism (277 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, Derek White, Cristina Cifuentes, Doug Simon, Philip Dyer and Anthony Barnett. Their work appears in journals such as Artificial Intelligence in Medicine, IEEE Software, Journal of Quantitative Analysis in Sports, IEEE Journal of Biomedical and Health Informatics and International Journal of Infectious Diseases.

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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