Jack W. Smith

2.9k citations
78 papers · 1.8k indexed · 1 hit paper · h-index 17

Impact in

    • Electronic Health Records Systems
    • Artificial Intelligence in Healthcare
    • AI-based Problem Solving and Planning
    • Semantic Web and Ontologies
    • Neural Networks and Applications
    • Logic, Reasoning, and Knowledge

Papers in

Jack W. Smith

71 papers receiving 1.6k citations

Hit Papers

Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus 1988 · 473 citations
4731988202620002013100200300400

Peers

Jack W. Smith
Comparison fields: 5 of 154
  • Health Information Management 351
  • Artificial Intelligence 874
  • Occupational Therapy 89
  • Health Informatics 28
  • Family Practice 28
Replace Feipei Lai with:
Feipei Lai Taiwan
Amar K. Das United States
Leila Shahmoradi Iran
Farahnaz Sadoughi Iran
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Paul V. Biron United States
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Citations per field
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Citations per year

Countries citing papers authored by Jack W. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jack W. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack W. Smith. 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 Jack W. Smith. The network helps show where Jack W. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack W. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack W. Smith Line = papers co-authored together Jack W. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus
Hit paper breakdown →
1988473
2 1992143
3 2012142
4 1987106
5 200997
6 200279
7 200973
8 201073
9 199968
10 200455
11
An approach to medical diagnosis based on conceptual structures
197945
12 197642
13 198531
14 199230
15 198930
16
Assembling the best explanation
198421
17
Overview of MDX-A System for Medical Diagnosis.
197918
18
The Anchorage, Alaska Veterans Court and Recidivism: July 6, 2004 – December 31, 2010
201214
19 201114
20 199114

About Jack W. Smith

Jack W. Smith is a scholar working on Family Practice, Health Information Management, General Decision Sciences, Artificial Intelligence and Health Informatics, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (14 papers), AI-based Problem Solving and Planning (11 papers), Electronic Health Records Systems (9 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Clinical Reasoning and Diagnostic Skills (6 papers), Clinical Laboratory Practices and Quality Control (5 papers) and Biomedical and Engineering Education (5 papers). The work is most often cited by research in Health Information Management (351 citations), Artificial Intelligence (874 citations), Occupational Therapy (89 citations), Health Informatics (28 citations) and Family Practice (28 citations). Jack W. Smith has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include B. Chandrasekaran, James E. Everhart, William C. Knowler, R.S. Johannes, Todd R. Johnson, John R. Josephson, Michael C. Tanner, Elmer V. Bernstam, Edward H. Shortliffe and Philip J. Smith. Their work appears in journals such as Artificial Intelligence in Medicine, Journal of Biomedical Informatics, American Journal of Preventive Medicine, Journal of Medical Systems and Frontiers in Psychology.

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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