Kent A. Spackman

58 papers receiving 1.5k citations

Peers

Kent A. Spackman
Comparison fields: 5 of 115
  • Molecular Biology 1.2k
  • Artificial Intelligence 1.1k
  • Health Information Management 287
  • Language and Linguistics 223
  • Public Health, Environmental and Occupational Health 116
Replace Keith E. Campbell with:
Keith E. Campbell United States
D. A. B. Lindberg United States
Stefan Schulz Germany
Diane E. Oliver United States
Robert Baud Switzerland
W. A. Nowlan United Kingdom
Pierre Zweigenbaum France
Aurélie Névéol France
Patrick Ruch Switzerland
Robert H. Dolin United States
Kent A. Spackman relative to Keith E. Campbell United States Keith E. Campbell's profile →
Citations per field
00.5×4.4×
Keith E. Campbell · 1×
Citations per year

Countries citing papers authored by Kent A. Spackman

Since Specialization
Citations

This map shows the geographic impact of Kent A. Spackman'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 Kent A. Spackman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kent A. Spackman more than expected).

Fields of papers citing papers by Kent A. Spackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kent A. Spackman. 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 Kent A. Spackman. The network helps show where Kent A. Spackman may publish in the future.

Co-authorship network of co-authors of Kent A. Spackman

This figure shows the co-authorship network connecting the top 25 collaborators of Kent A. Spackman. A scholar is included among the top collaborators of Kent A. Spackman 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 Kent A. Spackman. Kent A. Spackman 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 45
2 26
3
A case study of ICD-11 anatomy value set extraction from SNOMED CT
2
4
Representing and sharing knowledge using SNOMED
2
5
An Examination of OWL and the Requirements of a Large Health Care Terminology.
6
6 83
7 6
8
SNOMED CT milestones: endorsements are added to already-impressive standards credentials.
45
9
The use of SNOMED CT simplifies querying of a clinical data warehouse.
20
10 1
11 21
12 27
13
Computer-facilitated collaboration: experiences building SNOMED-RT.
6
14
Medical data standards
7
15 29
16
Evaluation of Neural Network Performance by Receiver Operating Characteristic Analysis: Examples from the Biotechnology Domain
7
17
The Transfusion Advisor: A Knowledge-Based System for the Blood Bank
4
18
Creating decision criteria from examples: the criteria learning system (CRLS)
1
19 1
20 5

About Kent A. Spackman

Kent A. Spackman is a scholar working on Medical Terminology, Anatomy and Language and Linguistics, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (44 papers), Semantic Web and Ontologies (31 papers) and linguistics and terminology studies (14 papers). The work is most often cited by research in Health Information Management (287 citations), Medical Terminology (13 citations) and Artificial Intelligence (1.1k citations). Kent A. Spackman has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Keith E. Campbell, Roger A. Côté, Colin Price, Angela Yee‐Moon Wang, Yehoshua Perl, Michael Halper, Stefan Schulz, Amy Wang, Hua Min and William Hersh. Their work appears in journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and Computer Methods and Programs in Biomedicine.

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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2026