Owen Johnson
Impact in
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- Business Process Modeling and Analysis
- Big Data and Business Intelligence
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
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- Business Process Modeling and Analysis 17
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- Semantic Web and Ontologies 12
- Topic Modeling 7
- Natural Language Processing Techniques 3
- Co-authors
- Geoff Hall (7 shared papers)Mary Godfrey (1 shared paper)Angelina Prima Kurniati (6 shared papers)David Hogg (4 shared papers)Galina Velikova (2 shared papers)Eric Atwell (8 shared papers)Eric Rojas (2 shared papers)Chris P Gale (4 shared papers)
- Journals
- JCO Clinical Cancer Informatics (2 papers)Anaesthesia (2 papers)Journal of Medical Internet Research (1 paper)Information and Software Technology (1 paper)BMC Medical Research Methodology (1 paper)
- Partner nations
- United KingdomIndonesiaUnited States
In The Last Decade
Owen Johnson
64 papers receiving 858 citations
Peers
Comparison fields: 5 of 107
- Management Information Systems 233
- Health Information Management 88
- Health Informatics 21
- Management Science and Operations Research 126
- Geriatrics and Gerontology 21
Countries citing papers authored by Owen Johnson
This map shows the geographic impact of Owen Johnson'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 Owen Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen Johnson more than expected).
Fields of papers citing papers by Owen Johnson
This network shows the impact of papers produced by Owen Johnson. 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 Owen Johnson. The network helps show where Owen Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Owen Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 82 | |
| 2 | 2008 | 74 | |
| 3 | 2017 | 65 | |
| 4 | 2016 | 52 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 38 | |
| 7 | 2011 | 36 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2021 | 27 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 25 | |
| 15 | 2023 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 13 |
About Owen Johnson
Owen Johnson is a scholar working on Management Information Systems, Artificial Intelligence, Health Information Management, Management Science and Operations Research and Molecular Biology, having authored 65 papers that have together received 889 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (17 papers), Semantic Web and Ontologies (12 papers), Data Quality and Management (10 papers), Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (3 papers) and Primary Care and Health Outcomes (2 papers). The work is most often cited by research in Management Information Systems (233 citations), Health Information Management (88 citations), Health Informatics (21 citations), Management Science and Operations Research (126 citations) and Geriatrics and Gerontology (21 citations). Owen Johnson has collaborated with scholars based in United Kingdom, Indonesia and United States. Frequent co-authors include Geoff Hall, Mary Godfrey, Angelina Prima Kurniati, David Hogg, Galina Velikova, Eric Atwell, Eric Rojas, Chris P Gale, Jonathan Benn and Richard Jones. Their work appears in journals such as JCO Clinical Cancer Informatics, Anaesthesia, Journal of Medical Internet Research, Information and Software Technology and BMC Medical Research Methodology.
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.