Joshua Smith

27 papers receiving 419 citations

Peers

Joshua Smith
Comparison fields: 5 of 89
  • Toxicology 34
  • Health Informatics 13
  • Family Practice 12
  • Applied Psychology 19
  • Oncology 83
Replace Joo Yun Lee with:
Joo Yun Lee South Korea
Mara Pereira Guerreiro Portugal
Tomoko Takayama Japan
Nasir Ali Afsar Pakistan
Heewon Lee United States
Ross Taylor United Kingdom
Wallace Marsh United States
Francisco Pimentel Portugal
Jae Hyun Kim South Korea
Emmanuel O. Fadiran United States
Joshua Smith relative to Joo Yun Lee South Korea Joo Yun Lee's profile →
Citations per field
00.5×11.3×
Joo Yun Lee · 1×
Citations per year

Countries citing papers authored by Joshua Smith

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joshua Smith, 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 Joshua Smith Line = papers co-authored together Joshua Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007123
2 200563
3 201031
4 201931
5 202321
6
Feasibility of mobile phone-based management of chronic illness.
201020
7 202417
8 201216
9 200712
10 202111
11 201810
12 201010
13
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.
202010
14 20139
15 20198
16 20206
17 20246
18 20225
19 20235
20 20213

About Joshua Smith

Joshua Smith is a scholar working on Toxicology, Organic Chemistry, Pharmacology, General Health Professions and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Mobile Health and mHealth Applications (2 papers), Cannabis and Cannabinoid Research (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Context-Aware Activity Recognition Systems (1 paper), Cancer-related cognitive impairment studies (1 paper), Bipolar Disorder and Treatment (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Toxicology (34 citations), Health Informatics (13 citations), Family Practice (12 citations), Applied Psychology (19 citations) and Oncology (83 citations). Joshua Smith has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Oliver Gibson, Lionel Tarassenko, Mark Larsen, Sarah Pearson, Andrew Weaver, Annie Young, Nick Townsend, Bruce R. Schatz, Kathleen Armstrong and A. Decken. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, The Joint Commission Journal on Quality and Patient Safety, Journal of Biomedical Informatics and BMC Medical Informatics and Decision Making.

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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