Scott McLachlan
- Artificial Intelligence top 5%
- Health Information Management top 2%
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Kudakwashe DubeNorman FentonThomas GallagherMartin NeilJason WalonoskiM KrámerJoseph C. NicholsDylan Hall
- Topics
- Electronic Health Records Systems (9 papers)Machine Learning in Healthcare (5 papers)Clinical practice guidelines implementation (5 papers)
- Journals
- Trends in Cognitive SciencesJournal of the American Medical Informatics AssociationBMJ Open
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Scott McLachlan
30 papers receiving 560 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 217
- Health Information Management 105
- General Health Professions 95
- Public Health, Environmental and Occupational Health 67
- Molecular Biology 44
Countries citing papers authored by Scott McLachlan
This map shows the geographic impact of Scott McLachlan'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 Scott McLachlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott McLachlan more than expected).
Fields of papers citing papers by Scott McLachlan
This network shows the impact of papers produced by Scott McLachlan. 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 Scott McLachlan. The network helps show where Scott McLachlan may publish in the future.
Co-authorship network of co-authors of Scott McLachlan
This figure shows the co-authorship network connecting the top 25 collaborators of Scott McLachlan. A scholar is included among the top collaborators of Scott McLachlan 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 Scott McLachlan. Scott McLachlan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 28 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 43 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 213 | |
| 19 | 28 | |
| 20 | 25 |
About Scott McLachlan
Scott McLachlan is a scholar working on Health Information Management, General Decision Sciences and Modeling and Simulation, having authored 30 papers that have together received 583 indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Machine Learning in Healthcare (5 papers) and Clinical practice guidelines implementation (5 papers). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (105 citations) and Artificial Intelligence (217 citations). Scott McLachlan has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Kudakwashe Dube, Norman Fenton, Thomas Gallagher, Martin Neil, Jason Walonoski, M Krámer, Joseph C. Nichols, Dylan Hall, Andre Quina and Magda Osman. Their work appears in journals such as Trends in Cognitive Sciences, Journal of the American Medical Informatics Association and BMJ Open.
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.