Olga Medvedeva
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills 5
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning 6
- Semantic Web and Ontologies 3
- Topic Modeling 3
- AI in cancer detection 2
- Computer Science Applications top 10%
- Health Information Management top 10%
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- Biomedical Text Mining and Ontologies 7
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- Innovations in Medical Education 2
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- Learning Styles and Cognitive Differences 2
- Co-authors
- Rebecca S. CrowleyEugene TseytlinMelissa CastineElizabeth LegowskiD.M. JukicRebecca S. JacobsonClaudia Mello‐ThomsVelma L. Payne
- Journals
- Cancer Research (1 paper)Genome biology (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Olga Medvedeva
18 papers receiving 398 citations
Peers
Comparison fields: 5 of 82
- Family Practice 78
- Health Informatics 43
- Artificial Intelligence 258
- Computer Science Applications 31
- Health Information Management 21
Countries citing papers authored by Olga Medvedeva
This map shows the geographic impact of Olga Medvedeva'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 Olga Medvedeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Medvedeva more than expected).
Fields of papers citing papers by Olga Medvedeva
This network shows the impact of papers produced by Olga Medvedeva. 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 Olga Medvedeva. The network helps show where Olga Medvedeva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olga Medvedeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | Information system development using augmented reality tools. | 2019 | 1 |
| 3 | 2017 | 65 | |
| 4 | 2017 | 52 | |
| 5 | DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. | 2017 | 1 |
| 6 | 2015 | 2 | |
| 7 | 2012 | 41 | |
| 8 | 2012 | 24 | |
| 9 | 2011 | 3 | |
| 10 | 2009 | 25 | |
| 11 | 2009 | 39 | |
| 12 | 2008 | 39 | |
| 13 | Concept Recognition, Information Retrieval, and Machine Learning in Genomics Question-Answering | 2006 | 5 |
| 14 | 2005 | 63 | |
| 15 | An ITS for medical classification problem-solving: Effects of tutoring and representations | 2005 | 11 |
| 16 | A method for automated detection of usability problems from client user interface events. | 2005 | 4 |
| 17 | A general architecture for intelligent tutoring of diagnostic classification problem solving. | 2003 | 27 |
| 18 | 1998 | 20 |
About Olga Medvedeva
Olga Medvedeva is a scholar working on Family Practice, Nuclear Energy and Engineering and Artificial Intelligence, having authored 18 papers that have together received 425 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Clinical Reasoning and Diagnostic Skills (5 papers), Semantic Web and Ontologies (3 papers), Topic Modeling (3 papers), Innovations in Medical Education (2 papers), Learning Styles and Cognitive Differences (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Family Practice (78 citations), Health Informatics (43 citations) and Artificial Intelligence (258 citations). Olga Medvedeva has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Rebecca S. Crowley, Eugene Tseytlin, Melissa Castine, Elizabeth Legowski, D.M. Jukic, Rebecca S. Jacobson, Claudia Mello‐Thoms, Velma L. Payne, Girish Chavan and Sergio Castro. Their work appears in journals such as Cancer Research, Genome biology and Archives of Pathology & Laboratory 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.