B. G. Buchanan

1.6k citations
33 papers · 982 indexed · h-index 16
Topics
AI-based Problem Solving and Planning (9 papers)Analytical Chemistry and Chromatography (6 papers)Data Mining Algorithms and Applications (5 papers)

In The Last Decade

B. G. Buchanan

31 papers receiving 821 citations

Peers

B. G. Buchanan
Comparison fields: 5 of 146
  • Artificial Intelligence 420
  • Molecular Biology 242
  • Spectroscopy 128
  • Health Information Management 124
  • Computational Theory and Mathematics 99
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Citations per year

Countries citing papers authored by B. G. Buchanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of B. G. Buchanan

This figure shows the co-authorship network connecting the top 25 collaborators of B. G. Buchanan. A scholar is included among the top collaborators of B. G. Buchanan 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 B. G. Buchanan. B. G. Buchanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Testing models of early Paleoindian colonization and adaptation using cladistics
6
2 7
3 3
4
Evaluation of negation phrases in narrative clinical reports.
127
5
The use of physician domain knowledge to improve the learning of rule-based models for decision-support.
9
6 16
7 79
8
Involving patients in health care: explanation in the clinical setting.
15
9 68
10 98
11
Effective management strategy for establishing an operating room satellite pharmacy.
3
12
Applications of Artificial Intelligence for Chemical Inference: The Dendral Project
49
13 20
14 187
15
A comparative study of five commercial reagents for the Coulter Model S: a proposed method for reagent evaluation.
1
16 3
17 34
18 34
19
Applications of artificial intelligence for chemical inference. I - The number of possible organic compounds - Acyclic structures containing C, H, O, and N.
19
20 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) and Data Mining Algorithms and Applications (5 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. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry and Proceedings of the IEEE.

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.

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