Kevin S. Tickle
- Artificial Intelligence top 5%
- Health Information Management top 0.5%
- Information Systems top 5%
- Computational Theory and Mathematics top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Jesmin NaharYi‐Ping Phoebe ChenTasadduq ImamA. B. M. Shawkat AliWilliam GuoGaifang DongPeter IsdaleJanice Lough
- Topics
- Data Mining Algorithms and Applications (9 papers)Artificial Intelligence in Healthcare (8 papers)Water Systems and Optimization (7 papers)
- Partner nations
- AustraliaFijiUnited States
In The Last Decade
Kevin S. Tickle
33 papers receiving 820 citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 387
- Health Information Management 294
- Information Systems 176
- Computational Theory and Mathematics 74
- Cardiology and Cardiovascular Medicine 71
Countries citing papers authored by Kevin S. Tickle
This map shows the geographic impact of Kevin S. Tickle'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 Kevin S. Tickle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin S. Tickle more than expected).
Fields of papers citing papers by Kevin S. Tickle
This network shows the impact of papers produced by Kevin S. Tickle. 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 Kevin S. Tickle. The network helps show where Kevin S. Tickle may publish in the future.
Co-authorship network of co-authors of Kevin S. Tickle
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin S. Tickle. A scholar is included among the top collaborators of Kevin S. Tickle 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 Kevin S. Tickle. Kevin S. Tickle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 39 | |
| 5 | 2 | |
| 6 | Improved C4.5 algorithm for rule based classification | 28 |
| 7 | 3 | |
| 8 | Moodle implementation and the RIPPLES model: Reflections on a sustainable approach to technology integration and renewal of educational practice | 0 |
| 9 | 2 | |
| 10 | 36 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | Principal component analysis and neural networks for analysis of complex spectral data from ion backscattering | 3 |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Parameter Dimension Estimation for Water Distribution Networks | 2 |
| 18 | 3 | |
| 19 | Stochastic hydraulics '96 : proceedings of the Seventh IAHR International Symposium Mackay, Queensland, Australia, 29-31 July, 1996 | 1 |
| 20 | Uncertainty in Reservoir Operation Optimisation | 3 |
About Kevin S. Tickle
Kevin S. Tickle is a scholar working on Health Information Management, Artificial Intelligence and Information Systems, having authored 35 papers that have together received 874 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Artificial Intelligence in Healthcare (8 papers) and Water Systems and Optimization (7 papers). The work is most often cited by research in Health Information Management (294 citations), Medical Laboratory Technology (22 citations) and Artificial Intelligence (387 citations). Kevin S. Tickle has collaborated with scholars based in Australia, Fiji and United States. Frequent co-authors include Jesmin Nahar, Yi‐Ping Phoebe Chen, Tasadduq Imam, A. B. M. Shawkat Ali, William Guo, Gaifang Dong, Peter Isdale, Janice Lough, Kevin Lansey and Iftekhar Ahmed. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications and The Holocene.
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.