Jon Patrick

1.7k citations
93 papers · 1.3k · h-index 17

Impact in

Papers in

    • Natural Language Processing Techniques 31
    • Topic Modeling 27
    • Semantic Web and Ontologies 26
    • Advanced Text Analysis Techniques 5
    • Biomedical Text Mining and Ontologies 37

Jon Patrick

90 papers receiving 1.1k citations

Peers

Jon Patrick
Comparison fields: 5 of 102
  • Health Information Management 103
  • Artificial Intelligence 738
  • Management Information Systems 156
  • Health Informatics 12
  • Information Systems and Management 61
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Citations per field
00.5×1.5×
Paolo Ciccarese · 1×
Citations per year

Countries citing papers authored by Jon Patrick

Since Specialization
Citations

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

Fields of papers citing papers by Jon Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Patrick. 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 Jon Patrick. The network helps show where Jon Patrick may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Patrick, 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 Jon Patrick Line = papers co-authored together Jon Patrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993152
2 2010134
3 200283
4 200252
5
Paraphrase Identification by Text Canonicalization
200550
6 201149
7 201447
8 200945
9
An automated system for conversion of clinical notes into SNOMED clinical terminology
200743
10 201135
11 200831
12 200230
13 201926
14 201419
15 200318
16
A Cascade Approach to Extracting Medication Events
200918
17
Phrases and Feature Selection in E-Mail Classification.
200417
18 199815
19 201614
20
Automated Proof Reading of Clinical Notes
201113

About Jon Patrick

Jon Patrick is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Management Information Systems and Management Science and Operations Research, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (37 papers), Natural Language Processing Techniques (31 papers), Topic Modeling (27 papers), Semantic Web and Ontologies (26 papers), Electronic Health Records Systems (11 papers), Data Quality and Management (8 papers), Advanced Database Systems and Queries (7 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Health Information Management (103 citations), Artificial Intelligence (738 citations), Management Information Systems (156 citations), Health Informatics (12 citations) and Information Systems and Management (61 citations). Jon Patrick has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Min Li, Yefeng Wang, Christopher S. Wallace, Mohammad A. Rashid, Liaquat Hossain, Casey Whitelaw, Yitao Zhang, Ying Ou, Robert Munro and Graeme Miller. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Journal of the Association for Information Systems, Applied Clinical Informatics and International Journal of Human-Computer Studies.

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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