Ida Sim

104 papers receiving 4.6k citations

Ida Sim's Hit Papers

Mobile Devices and Health 2019 · 306 citations
3060+8+16Years since publication200400600

Peers

Ida Sim
Comparison fields: 5 of 183
  • Health Information Management 938
  • Health Informatics 103
  • Statistics, Probability and Uncertainty 400
  • Applied Psychology 190
  • Medical Terminology 8
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Countries citing papers authored by Ida Sim

Since Specialization
Citations

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

Fields of papers citing papers by Ida Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physicians’ Use Of Electronic Medical Records: Barriers And Solutions
Hit paper breakdown →
2004631
2
Clinical Decision Support Systems for the Practice of Evidence-based Medicine
Hit paper breakdown →
2001502
3
Mobile Devices and Health
Hit paper breakdown →
2019306
4
Why we need a small data paradigm
Hit paper breakdown →
2019229
5 2010224
6 2005178
7 2005153
8 2008150
9 2009130
10 2006119
11 2010118
12
The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge
2006110
13 2010105
14 201686
15 199786
16 200681
17 201278
18
Analysis of eligibility criteria complexity in clinical trials.
201071
19 199560
20 202055

About Ida Sim

Ida Sim is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 4.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Electronic Health Records Systems (15 papers), Semantic Web and Ontologies (12 papers), Meta-analysis and systematic reviews (10 papers), Mobile Health and mHealth Applications (8 papers), Scientific Computing and Data Management (8 papers), Ethics in Clinical Research (7 papers) and Health Sciences Research and Education (5 papers). The work is most often cited by research in Health Information Management (938 citations), Health Informatics (103 citations), Statistics, Probability and Uncertainty (400 citations), Applied Psychology (190 citations) and Medical Terminology (8 citations). Ida Sim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert H. Miller, Simona Carini, Deborah Estrin, Samson W. Tu, Harold P. Lehmann, R. Brian Haynes, Robert A. Greenes, Bonnie Kaplan, Paul Gorman and Paul C. Tang. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Journal of General Internal Medicine, Trials and Journal of Clinical Epidemiology.

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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