Owen Johnson

1.9k total citations
67 papers, 866 citations indexed

About

Owen Johnson is a scholar working on Management Information Systems, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Owen Johnson has authored 67 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Information Systems, 20 papers in Artificial Intelligence and 17 papers in Health Information Management. Recurrent topics in Owen Johnson's work include Business Process Modeling and Analysis (20 papers), Electronic Health Records Systems (14 papers) and Semantic Web and Ontologies (12 papers). Owen Johnson is often cited by papers focused on Business Process Modeling and Analysis (20 papers), Electronic Health Records Systems (14 papers) and Semantic Web and Ontologies (12 papers). Owen Johnson collaborates with scholars based in United Kingdom, Indonesia and Chile. Owen Johnson's co-authors include Geoff Hall, Mary Godfrey, Angelina Prima Kurniati, David Hogg, Eric Rojas, Galina Velikova, Eric Atwell, Carolyn McCrorie, Jonathan Benn and Helen Whelton and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Owen Johnson

66 papers receiving 832 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Owen Johnson United Kingdom 16 245 177 143 136 135 67 866
Seok Kim South Korea 17 116 0.5× 159 0.9× 78 0.5× 95 0.7× 196 1.5× 66 1.1k
Daniel Capurro Australia 22 438 1.8× 365 2.1× 194 1.4× 311 2.3× 287 2.1× 79 1.7k
Travis B. Murdoch Canada 10 93 0.4× 300 1.7× 107 0.7× 148 1.1× 118 0.9× 11 1.5k
Keith Marsolo United States 20 79 0.3× 232 1.3× 170 1.2× 221 1.6× 174 1.3× 63 1.5k
Lokesh Sharma India 6 104 0.4× 236 1.3× 63 0.4× 58 0.4× 70 0.5× 20 936
Thomas Bürkle Germany 19 106 0.4× 214 1.2× 161 1.1× 219 1.6× 237 1.8× 104 1.4k
Harshana Liyanage United Kingdom 16 34 0.1× 111 0.6× 64 0.4× 188 1.4× 199 1.5× 54 925
Giordano Lanzola Italy 18 75 0.3× 184 1.0× 28 0.2× 147 1.1× 169 1.3× 55 862
Dimitrios G. Katehakis Greece 13 81 0.3× 112 0.6× 38 0.3× 60 0.4× 157 1.2× 60 648
Angelina Kouroubali Greece 12 76 0.3× 54 0.3× 59 0.4× 103 0.8× 257 1.9× 46 786

Countries citing papers authored by Owen Johnson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Owen Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Owen Johnson. A scholar is included among the top collaborators of Owen Johnson 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 Owen Johnson. Owen Johnson 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
1.
Kotzé, Alwyn, Tom Lawton, Simon Howell, et al.. (2025). Development, external validation and integration into clinical workflow of machine learning models to support pre‐operative assessment in the UK. Anaesthesia. 81(2). 201–212. 1 indexed citations
2.
Sandall, Jane, et al.. (2025). Impact of midwife continuity of carer on stillbirth rate and first feed in England. Communications Medicine. 5(1). 339–339. 1 indexed citations
3.
Johnson, Owen, et al.. (2024). Contextual Barriers to Implementing Open-Source Electronic Health Record Systems for Low- and Lower-Middle-Income Countries: Scoping Review. Journal of Medical Internet Research. 26. e45242–e45242. 7 indexed citations
4.
Johnson, Owen, Carolyn McCrorie, Teumzghi F Mebrahtu, et al.. (2024). Implementing an artificial intelligence command centre in the NHS: a mixed-methods study. SHILAP Revista de lepidopterología. 12(41). 1–108. 1 indexed citations
5.
6.
Hayward, C., Jonathan A. Batty, David R. Westhead, et al.. (2023). Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes. European Heart Journal. 44(Supplement_2). 1 indexed citations
7.
Batty, Jonathan A., David R. Westhead, Owen Johnson, et al.. (2023). Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes. EBioMedicine. 96. 104792–104792. 16 indexed citations
8.
Mebrahtu, Teumzghi F, Jonathan Benn, Carolyn McCrorie, et al.. (2023). The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service. International Journal for Quality in Health Care. 35(4). 2 indexed citations
9.
Kurniati, Angelina Prima, et al.. (2023). Implementing Process Mining in Indonesia Health Care: Challenges and Potentials. 62–62. 2 indexed citations
10.
Whelton, Helen, et al.. (2022). Dental Extractions under General Anesthesia: New Insights from Process Mining. JDR Clinical & Translational Research. 8(3). 267–275. 3 indexed citations
11.
McCrorie, Carolyn, Jonathan Benn, Ibrahim Habli, et al.. (2022). Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol. BMJ Open. 12(3). e054090–e054090. 10 indexed citations
12.
Williams, S., Steven Kemp, Samuel D. Relton, et al.. (2022). To the emergency room and back again: Circular healthcare pathways for acute functional neurological disorders. Journal of the Neurological Sciences. 437. 120251–120251. 12 indexed citations
13.
14.
Johnson, Owen, et al.. (2021). Are Regulations Safe? Reflections From Developing a Digital Cancer Decision-Support Tool. JCO Clinical Cancer Informatics. 5(5). 353–363. 5 indexed citations
15.
Johnson, Owen, et al.. (2020). Process Mining of Disease Trajectories: A Feasibility Study. 705–712. 4 indexed citations
16.
Martin, Niels, Jochen De Weerdt, Carlos Fernández-Llatas, et al.. (2020). Recommendations for enhancing the usability and understandability of process mining in healthcare. Artificial Intelligence in Medicine. 109. 101962–101962. 36 indexed citations
17.
Johnson, Owen. (2019). General System Theory and the Use of Process Mining to Improve Care Pathways. Studies in health technology and informatics. 263. 11–22. 8 indexed citations
18.
Williams, Richard, Darren M. Ashcroft, Benjamin Brown, et al.. (2019). Process Mining in Primary Care: Avoiding Adverse Events Due to Hazardous Prescribing. Studies in health technology and informatics. 264. 447–451. 7 indexed citations
19.
Dunwoodie, Elaine, Richard Jones, Alex Newsham, et al.. (2017). Process mining routinely collected electronic health records to define real-life clinical pathways during chemotherapy. International Journal of Medical Informatics. 103. 32–41. 62 indexed citations
20.
Atwell, Eric, et al.. (2010). Secure information extraction from clinical documents using SNOMED CT gazetteer and natural language processing. International Conference for Internet Technology and Secured Transactions. 1–5. 5 indexed citations

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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