Scott Monteith

44 papers receiving 1.4k citations

Scott Monteith's Hit Papers

Artificial intelligence and increasing misinformation 2023 · 117 citations
1170+1+2Years since publication255075100

Peers

Scott Monteith
Comparison fields: 5 of 117
  • Health Informatics 173
  • Applied Psychology 264
  • Geriatrics and Gerontology 65
  • Psychiatry and Mental health 287
  • Health Information Management 116
Replace Lamiece Hassan with:
Lamiece Hassan United Kingdom
Richard Jackson United Kingdom
Mark Erik Larsen Australia
Bridianne O’Dea Australia
Mike Denis United Kingdom
Harold P. Erdman United States
Julie Prescott United Kingdom
Jennifer Apolinário-Hagen Germany
Julie Blaskewicz Boron United States
Weichen Wang United States
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Countries citing papers authored by Scott Monteith

Since Specialization
Citations

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

Fields of papers citing papers by Scott Monteith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Scott Monteith, 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 Scott Monteith Line = papers co-authored together Scott Monteith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence and increasing misinformation
Hit paper breakdown →
2023117
2 2017108
3 2020108
4 2014105
5 201491
6 202173
7 201562
8 201444
9 201644
10 201642
11 201541
12 202241
13 201939
14 201738
15 202237
16 201636
17 201632
18 201932
19 201428
20 201727

About Scott Monteith

Scott Monteith is a scholar working on Health Informatics, Psychiatry and Mental health, Applied Psychology, Health Information Management and Geriatrics and Gerontology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (17 papers), Artificial Intelligence in Healthcare and Education (10 papers), Health Literacy and Information Accessibility (6 papers), Electronic Health Records Systems (5 papers), Digital Mental Health Interventions (5 papers), Ethics and Social Impacts of AI (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Health Informatics (173 citations), Applied Psychology (264 citations), Geriatrics and Gerontology (65 citations), Psychiatry and Mental health (287 citations) and Health Information Management (116 citations). Scott Monteith has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tasha Glenn, Michael Bauer, John Richard Geddes, Peter C. Whybrow, Eric D. Achtyes, Rita Bauer, Michael J Gitlin, Paul Grof, Martin Alda and Emanuel Severus. Their work appears in journals such as International Journal of Bipolar Disorders, Current Psychiatry Reports, Pharmacopsychiatry, The British Journal of Psychiatry and Psychiatry Research.

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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