John Fulcher
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Environmental Engineering
- Information Systems
- Co-authors
- Khin Than WinLakhmi C. JainShuxiang XuMing ZhangRoderick A. ScofieldDon IversonMarkus HagenbuchnerJunzo Watada
- Topics
- Neural Networks and Applications (18 papers)Electronic Health Records Systems (9 papers)Mobile Learning in Education (4 papers)
- Journals
- NeurocomputingJournal of the Association for Information SystemsFuture Generation Computer Systems
- Partner nations
- AustraliaUnited StatesTaiwan
In The Last Decade
John Fulcher
50 papers receiving 379 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 153
- Computer Vision and Pattern Recognition 56
- Electrical and Electronic Engineering 50
- Environmental Engineering 44
- Information Systems 41
Countries citing papers authored by John Fulcher
This map shows the geographic impact of John Fulcher'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 Fulcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Fulcher more than expected).
Fields of papers citing papers by John Fulcher
This network shows the impact of papers produced by John Fulcher. 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 Fulcher. The network helps show where John Fulcher may publish in the future.
Co-authorship network of co-authors of John Fulcher
This figure shows the co-authorship network connecting the top 25 collaborators of John Fulcher. A scholar is included among the top collaborators of John Fulcher 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 John Fulcher. John Fulcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Knowledge-Based Risk Advisor Model for Chronic Complications of Diabetes | 2 |
| 2 | 4 | |
| 3 | Enhanced laboratory diagnosis of human Chlamydia pneumoniae through pattern recognition derived from pathology database analysis | 2 |
| 4 | 4 | |
| 5 | Feasibility Study of Incorporating Personal Digital Assistants (PDAs) into a Problem-based Learning Approach to Medical Education at the University of Wollongong | 0 |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | Lessons Learnt from the UoW-IDGP Smart_ID Project | 5 |
| 17 | 53 | |
| 18 | 38 | |
| 19 | 29 | |
| 20 | 4 |
About John Fulcher
John Fulcher is a scholar working on Health Information Management, Issues, ethics and legal aspects and Artificial Intelligence, having authored 56 papers that have together received 413 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Electronic Health Records Systems (9 papers) and Mobile Learning in Education (4 papers). The work is most often cited by research in Health Information Management (40 citations), Artificial Intelligence (153 citations) and Medical Terminology (1 citation). John Fulcher has collaborated with scholars based in Australia, United States and Taiwan. Frequent co-authors include Khin Than Win, Lakhmi C. Jain, Shuxiang Xu, Ming Zhang, Ming Zhang, Ming Zhang, Roderick A. Scofield, Don Iverson, Lakhmi C. Jain and Ming Zhang. Their work appears in journals such as Neurocomputing, Journal of the Association for Information Systems and Future Generation Computer Systems.
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.