Owen Johnson
Impact in
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- Electronic Health Records Systems
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- Business Process Modeling and Analysis
- Big Data and Business Intelligence
Papers in
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- Business Process Modeling and Analysis 20
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- Semantic Web and Ontologies 12
- Topic Modeling 8
- Machine Learning in Healthcare 4
- Co-authors
- Geoff Hall (7 shared papers)Mary Godfrey (1 shared paper)Angelina Prima Kurniati (6 shared papers)David Hogg (4 shared papers)Eric Rojas (4 shared papers)Galina Velikova (2 shared papers)Eric Atwell (8 shared papers)Vishal R. Aggarwal (2 shared papers)
- Journals
- JCO Clinical Cancer Informatics (2 papers)Anaesthesia (2 papers)PharmacoEconomics (1 paper)International Journal of Environmental Research and Public Health (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United KingdomIndonesiaChile
In The Last Decade
Owen Johnson
66 papers receiving 832 citations
Peers
Comparison fields: 5 of 117
- Health Information Management 130
- Management Information Systems 245
- Health Informatics 27
- Management Science and Operations Research 143
- Issues, ethics and legal aspects 9
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2008 | 74 | |
| 3 | 2017 | 62 | |
| 4 | 2016 | 50 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2011 | 35 | |
| 8 | 2018 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2018 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 12 |
About Owen Johnson
Owen Johnson is a scholar working on Management Information Systems, Artificial Intelligence, Health Information Management, Management Science and Operations Research and General Health Professions, having authored 67 papers that have together received 866 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (20 papers), Electronic Health Records Systems (14 papers), Semantic Web and Ontologies (12 papers), Data Quality and Management (11 papers), Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (8 papers), Healthcare Systems and Technology (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Information Management (130 citations), Management Information Systems (245 citations), Health Informatics (27 citations), Management Science and Operations Research (143 citations) and Issues, ethics and legal aspects (9 citations). Owen Johnson has collaborated with scholars based in United Kingdom, Indonesia and Chile. Frequent co-authors include Geoff Hall, Mary Godfrey, Angelina Prima Kurniati, David Hogg, Eric Rojas, Galina Velikova, Eric Atwell, Vishal R. Aggarwal, Carolyn McCrorie and Jonathan Benn. Their work appears in journals such as JCO Clinical Cancer Informatics, Anaesthesia, PharmacoEconomics, International Journal of Environmental Research and Public Health and Annals of Oncology.
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.