B. G. Buchanan
- Family Practice top 5%
- Health Informatics top 5%
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning 9
- Semantic Web and Ontologies 4
- Machine Learning in Healthcare 3
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 6
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- Data Mining Algorithms and Applications 5
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- Metabolomics and Mass Spectrometry Studies 3
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- Computational Drug Discovery Methods 3
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- Advanced Database Systems and Queries 3
- Co-authors
- Edward A. FeigenbaumEdward H. ShortliffeReid G. SmithJoshua LederbergDiana E. ForsytheGregory F. CooperCarl DjerassiPaul Hanbury
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
B. G. Buchanan
31 papers receiving 821 citations
Peers
Comparison fields: 5 of 146
- Health Information Management 124
- Family Practice 49
- Health Informatics 29
- Artificial Intelligence 420
- Spectroscopy 128
Countries citing papers authored by B. G. Buchanan
This map shows the geographic impact of B. G. Buchanan'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 B. G. Buchanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. G. Buchanan more than expected).
Fields of papers citing papers by B. G. Buchanan
This network shows the impact of papers produced by B. G. Buchanan. 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 B. G. Buchanan. The network helps show where B. G. Buchanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside B. G. Buchanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Testing models of early Paleoindian colonization and adaptation using cladistics | 2008 | 6 |
| 2 | 2002 | 7 | |
| 3 | 2002 | 3 | |
| 4 | Evaluation of negation phrases in narrative clinical reports. | 2001 | 127 |
| 5 | The use of physician domain knowledge to improve the learning of rule-based models for decision-support. | 1999 | 9 |
| 6 | 1996 | 16 | |
| 7 | 1994 | 79 | |
| 8 | Involving patients in health care: explanation in the clinical setting. | 1992 | 15 |
| 9 | 1989 | 68 | |
| 10 | 1988 | 98 | |
| 11 | Effective management strategy for establishing an operating room satellite pharmacy. | 1988 | 3 |
| 12 | Applications of Artificial Intelligence for Chemical Inference: The Dendral Project | 1980 | 49 |
| 13 | 1980 | 20 | |
| 14 | 1979 | 187 | |
| 15 | A comparative study of five commercial reagents for the Coulter Model S: a proposed method for reagent evaluation. | 1978 | 1 |
| 16 | 1975 | 3 | |
| 17 | 1972 | 34 | |
| 18 | 1970 | 34 | |
| 19 | Applications of artificial intelligence for chemical inference. I - The number of possible organic compounds - Acyclic structures containing C, H, O, and N. | 1969 | 19 |
| 20 | 1969 | 38 |
About B. G. Buchanan
B. G. Buchanan is a scholar working on Health Information Management, Spectroscopy and Family Practice, having authored 33 papers that have together received 982 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Analytical Chemistry and Chromatography (6 papers), Data Mining Algorithms and Applications (5 papers), Semantic Web and Ontologies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Machine Learning in Healthcare (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Health Information Management (124 citations), Family Practice (49 citations) and Health Informatics (29 citations). B. G. Buchanan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Edward A. Feigenbaum, Edward H. Shortliffe, Reid G. Smith, Joshua Lederberg, Diana E. Forsythe, Gregory F. Cooper, Carl Djerassi, Paul Hanbury, Wendy W. Chapman and Will Bridewell.
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.