Elizabeth Legowski
- Artificial Intelligence top 5%
- Molecular Biology
- Family Practice top 5%
- Public Health, Environmental and Occupational Health
- Developmental and Educational Psychology top 10%
- Co-authors
- Eugene TseytlinRebecca S. CrowleyD.M. JukicMelissa CastineOlga MedvedevaKevin J. MitchellGirish ChavanRebecca S. Jacobson
- Topics
- Clinical Reasoning and Diagnostic Skills (8 papers)Intelligent Tutoring Systems and Adaptive Learning (7 papers)Innovations in Medical Education (4 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Elizabeth Legowski
14 papers receiving 376 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 202
- Molecular Biology 110
- Family Practice 86
- Public Health, Environmental and Occupational Health 77
- Developmental and Educational Psychology 66
Countries citing papers authored by Elizabeth Legowski
This map shows the geographic impact of Elizabeth Legowski'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 Elizabeth Legowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Legowski more than expected).
Fields of papers citing papers by Elizabeth Legowski
This network shows the impact of papers produced by Elizabeth Legowski. 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 Elizabeth Legowski. The network helps show where Elizabeth Legowski may publish in the future.
Co-authorship network of co-authors of Elizabeth Legowski
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Legowski. A scholar is included among the top collaborators of Elizabeth Legowski 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 Elizabeth Legowski. Elizabeth Legowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 9 | |
| 3 | 27 | |
| 4 | Fostering Diagnostic Accuracy in a Medical Intelligent Tutoring System. | 1 |
| 5 | 42 | |
| 6 | 41 | |
| 7 | 24 | |
| 8 | 25 | |
| 9 | 39 | |
| 10 | 34 | |
| 11 | 36 | |
| 12 | An ITS for medical classification problem-solving: Effects of tutoring and representations | 11 |
| 13 | A method for automated detection of usability problems from client user interface events. | 4 |
| 14 | Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports. | 43 |
About Elizabeth Legowski
Elizabeth Legowski is a scholar working on Family Practice, Artificial Intelligence and Developmental and Educational Psychology, having authored 14 papers that have together received 408 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Innovations in Medical Education (4 papers). The work is most often cited by research in Family Practice (86 citations), Health Informatics (30 citations) and Artificial Intelligence (202 citations). Elizabeth Legowski has collaborated with scholars based in United States and Canada. Frequent co-authors include Eugene Tseytlin, Rebecca S. Crowley, D.M. Jukic, Melissa Castine, Olga Medvedeva, Kevin J. Mitchell, Girish Chavan, Rebecca S. Jacobson, Roger Azevedo and Velma L. Payne. Their work appears in journals such as PLoS ONE, Cancer Research and BMC Bioinformatics.
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.