A. Carlisle Scott
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Health Information Management top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Edward H. ShortliffeMotoi SuwaCharlotte JacobsWilliam van MelleRandall DavisVictor L. YuBruce G. BuchananStanley N. Cohen
- Topics
- Semantic Web and Ontologies (5 papers)AI-based Problem Solving and Planning (5 papers)Biomedical Text Mining and Ontologies (2 papers)
- Journals
- American Journal of Health-System PharmacyAI MagazineInternational Joint Conference on Artificial Intelligence
- Partner nations
- United States
In The Last Decade
A. Carlisle Scott
10 papers receiving 474 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 341
- Information Systems 113
- Molecular Biology 66
- Health Information Management 59
- Computational Theory and Mathematics 55
Countries citing papers authored by A. Carlisle Scott
This map shows the geographic impact of A. Carlisle Scott'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 A. Carlisle Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Carlisle Scott more than expected).
Fields of papers citing papers by A. Carlisle Scott
This network shows the impact of papers produced by A. Carlisle Scott. 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 A. Carlisle Scott. The network helps show where A. Carlisle Scott may publish in the future.
Co-authorship network of co-authors of A. Carlisle Scott
This figure shows the co-authorship network connecting the top 25 collaborators of A. Carlisle Scott. A scholar is included among the top collaborators of A. Carlisle Scott 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 A. Carlisle Scott. A. Carlisle Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | A Practical Guide to Knowledge Acquisition | 106 |
| 4 | An approach to verifying completeness and consistency in a rule-expert system | 6 |
| 5 | Seperating and integrating control in a rule-based tool | 1 |
| 6 | 191 | |
| 7 | ONCOCIN: an expert system for oncology protocol management | 129 |
| 8 | 4 | |
| 9 | 89 | |
| 10 | Explanation capabilities of production-based consultation systems | 29 |
| 11 | 14 |
About A. Carlisle Scott
A. Carlisle Scott is a scholar working on Issues, ethics and legal aspects, Applied Microbiology and Biotechnology and Family Practice, having authored 11 papers that have together received 570 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), AI-based Problem Solving and Planning (5 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Software (52 citations), Health Information Management (59 citations) and Artificial Intelligence (341 citations). A. Carlisle Scott has collaborated with scholars based in United States. Frequent co-authors include Edward H. Shortliffe, Motoi Suwa, Charlotte Jacobs, William van Melle, Randall Davis, Victor L. Yu, Bruce G. Buchanan, Stanley N. Cohen, William J. Clancey and Stanton G. Axline. Their work appears in journals such as American Journal of Health-System Pharmacy, AI Magazine and International Joint Conference on 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.