John Fulcher
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Neural Networks and Applications 18
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- Electronic Health Records Systems 9
- Co-authors
- Khin Than Win (10 shared papers)Shuxiang Xu (3 shared papers)Ming Zhang (1 shared paper)Ming Zhang (2 shared papers)Roderick A. Scofield (1 shared paper)Don Iverson (2 shared papers)Markus Hagenbuchner (2 shared papers)Lakhmi C. Jain (1 shared paper)
- Journals
- International Journal of Neural Systems (3 papers)Computer Standards & Interfaces (2 papers)Neurocomputing (2 papers)Computer Science Education (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- AustraliaUnited StatesTaiwan
In The Last Decade
John Fulcher
50 papers receiving 381 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 38
- Artificial Intelligence 152
- Issues, ethics and legal aspects 4
- Management Science and Operations Research 40
- Environmental Engineering 44
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-authors
The 25 scholars most cited alongside John Fulcher, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 53 | |
| 2 | 2008 | 47 | |
| 3 | 1997 | 41 | |
| 4 | 1996 | 38 | |
| 5 | 2007 | 31 | |
| 6 | 1994 | 29 | |
| 7 | 2006 | 27 | |
| 8 | 2010 | 15 | |
| 9 | 2007 | 7 | |
| 10 | 2005 | 7 | |
| 11 | ANSER: an Adaptive-Neuron Artificial Neural Network System for Estimating Rainfall Using Satellite Data | 2007 | 7 |
| 12 | 2003 | 6 | |
| 13 | 2000 | 6 | |
| 14 | 2009 | 6 | |
| 15 | 1997 | 5 | |
| 16 | Lessons Learnt from the UoW-IDGP Smart_ID Project | 2002 | 5 |
| 17 | 2002 | 5 | |
| 18 | 2006 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 1990 | 4 |
About John Fulcher
John Fulcher is a scholar working on Artificial Intelligence, Health Information Management, Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 415 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Electronic Health Records Systems (9 papers), Mobile Learning in Education (4 papers), Stock Market Forecasting Methods (3 papers), Embedded Systems Design Techniques (3 papers), Hydrological Forecasting Using AI (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Health Information Management (38 citations), Artificial Intelligence (152 citations), Issues, ethics and legal aspects (4 citations), Management Science and Operations Research (40 citations) and Environmental Engineering (44 citations). John Fulcher has collaborated with scholars based in Australia, United States and Taiwan. Frequent co-authors include Khin Than Win, Shuxiang Xu, Ming Zhang, Ming Zhang, Ming Zhang, Roderick A. Scofield, Don Iverson, Markus Hagenbuchner, Ming Zhang and Lakhmi C. Jain. Their work appears in journals such as International Journal of Neural Systems, Computer Standards & Interfaces, Neurocomputing, Computer Science Education and Neural Computing and Applications.
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.