William Cheetham
- Artificial Intelligence
- Economics and Econometrics
- Information Systems
- Control and Systems Engineering
- Management Science and Operations Research
- Topics
- AI-based Problem Solving and Planning (11 papers)Service-Oriented Architecture and Web Services (3 papers)Fuzzy Logic and Control Systems (3 papers)
- Journals
- AI MagazineThe Knowledge Engineering ReviewInnovative Applications of Artificial Intelligence
- Partner nations
- United StatesIsraelNew Zealand
In The Last Decade
William Cheetham
13 papers receiving 95 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 64
- Economics and Econometrics 21
- Information Systems 16
- Control and Systems Engineering 14
- Management Science and Operations Research 12
Countries citing papers authored by William Cheetham
This map shows the geographic impact of William Cheetham'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 William Cheetham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Cheetham more than expected).
Fields of papers citing papers by William Cheetham
This network shows the impact of papers produced by William Cheetham. 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 William Cheetham. The network helps show where William Cheetham may publish in the future.
Co-authorship network of co-authors of William Cheetham
This figure shows the co-authorship network connecting the top 25 collaborators of William Cheetham. A scholar is included among the top collaborators of William Cheetham 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 William Cheetham. William Cheetham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2 | 2 |
| 3 | 2 | |
| 4 | Case-based reasoning for general electric appliance customer support | 1 |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | Case-Based Reasoning for Gas Turbine Diagnostics. | 14 |
| 9 | 4 | |
| 10 | Lessons Learned using CBR for Customer Support | 4 |
| 11 | 33 | |
| 12 | 4 | |
| 13 | Case-Based Reasoning at General Electric | 6 |
About William Cheetham
William Cheetham is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics and Software, having authored 13 papers that have together received 110 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (11 papers), Service-Oriented Architecture and Web Services (3 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Artificial Intelligence (64 citations), Medical Laboratory Technology (3 citations) and Health Informatics (2 citations). William Cheetham has collaborated with scholars based in United States, Israel and New Zealand. Frequent co-authors include Piero P. Bonissone, Ian Watson, Kai Goebel, Kareem S. Aggour, Simon Shiu and Rosina O. Weber. Their work appears in journals such as AI Magazine, The Knowledge Engineering Review and Innovative Applications of Artificial Intelligence.
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.