Ida Sim

106 papers receiving 5.0k citations

Ida Sim's Hit Papers

Mobile Devices and Health 2019 · 329 citations
3290+8+16Years since publication200400600

Peers

Ida Sim
Comparison fields: 5 of 185
  • Health Information Management 1.1k
  • Health Informatics 120
  • Statistics, Probability and Uncertainty 418
  • Applied Psychology 213
  • Medical Terminology 10
Replace William Hersh with:
William Hersh United States
E. Andrew Balas United States
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Robert A. Greenes United States
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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 109 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 →
2004677
2
Clinical Decision Support Systems for the Practice of Evidence-based Medicine
Hit paper breakdown →
2001553
3
Mobile Devices and Health
Hit paper breakdown →
2019329
4 2010266
5
Why we need a small data paradigm
Hit paper breakdown →
2019244
6 2005193
7 2005158
8 2008155
9 2009146
10
The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge
2006137
11 2006126
12 2010125
13 2010117
14 200694
15 201693
16 199791
17 201288
18
Analysis of eligibility criteria complexity in clinical trials.
201075
19 199563
20 198759

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 109 papers that have together received 5.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (27 papers), Electronic Health Records Systems (15 papers), Semantic Web and Ontologies (13 papers), Meta-analysis and systematic reviews (11 papers), Scientific Computing and Data Management (11 papers), Mobile Health and mHealth Applications (8 papers), Ethics in Clinical Research (7 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Information Management (1.1k citations), Health Informatics (120 citations), Statistics, Probability and Uncertainty (418 citations), Applied Psychology (213 citations) and Medical Terminology (10 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, Paul Gorman, R. Brian Haynes, Bonnie Kaplan, Robert A. Greenes and Paul C. Tang. Their work appears in journals such as Journal of Biomedical Informatics, Journal of General Internal Medicine, Journal of the American Medical Informatics Association, Journal of Clinical Epidemiology and New England Journal of Medicine.

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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