Olga Medvedeva

678 total citations
18 papers, 425 citations indexed

About

Olga Medvedeva is a scholar working on Artificial Intelligence, Molecular Biology and Family Practice. According to data from OpenAlex, Olga Medvedeva has authored 18 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Family Practice. Recurrent topics in Olga Medvedeva's work include Biomedical Text Mining and Ontologies (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Olga Medvedeva is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Olga Medvedeva collaborates with scholars based in United States, Canada and Brazil. Olga Medvedeva's 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 and has published in prestigious journals such as Cancer Research, Genome biology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Olga Medvedeva

18 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olga Medvedeva United States 11 258 103 79 78 58 18 425
Elizabeth Legowski United States 11 202 0.8× 110 1.1× 56 0.7× 86 1.1× 77 1.3× 14 408
Eugene Tseytlin United States 15 341 1.3× 171 1.7× 133 1.7× 101 1.3× 107 1.8× 27 692
Melissa Castine United States 8 172 0.7× 117 1.1× 56 0.7× 64 0.8× 63 1.1× 10 333
Siddhi Ramesh United States 6 249 1.0× 16 0.2× 173 2.2× 26 0.3× 29 0.5× 11 537
Timothy Leaven United States 7 187 0.7× 55 0.5× 88 1.1× 27 0.3× 167 2.9× 8 457
Syed Latifi Canada 5 136 0.5× 9 0.1× 121 1.5× 49 0.6× 55 0.9× 8 422
Mert Yüksekgönül United States 3 255 1.0× 49 0.5× 126 1.6× 5 0.1× 8 0.1× 6 469
Mohamed Abdalla Canada 12 244 0.9× 61 0.6× 60 0.8× 8 0.1× 32 0.6× 29 467
Luigi De Angelis Italy 8 194 0.8× 14 0.1× 127 1.6× 34 0.4× 49 0.8× 24 564
Francesco Baglivo Italy 6 194 0.8× 15 0.1× 126 1.6× 33 0.4× 46 0.8× 15 520

Countries citing papers authored by Olga Medvedeva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Olga Medvedeva

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Medvedeva. A scholar is included among the top collaborators of Olga Medvedeva 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 Olga Medvedeva. Olga Medvedeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Medvedeva, Olga, et al.. (2020). Smart Technologies in Housing and Communal Services. 3 indexed citations
2.
Medvedeva, Olga, et al.. (2019). Information system development using augmented reality tools.. 1 indexed citations
3.
Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. Cancer Research. 77(21). e115–e118. 65 indexed citations
4.
Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records.. AMIA. 1 indexed citations
5.
Castro, Sergio, Eugene Tseytlin, Olga Medvedeva, et al.. (2017). Automated annotation and classification of BI-RADS assessment from radiology reports. Journal of Biomedical Informatics. 69. 177–187. 52 indexed citations
6.
7.
Crowley, Rebecca S., Elizabeth Legowski, Olga Medvedeva, et al.. (2012). Automated detection of heuristics and biases among pathologists in a computer-based system. Advances in Health Sciences Education. 18(3). 343–363. 41 indexed citations
8.
Mello‐Thoms, Claudia, C.A.B. Mello, Olga Medvedeva, et al.. (2012). Perceptual Analysis of the Reading of Dermatopathology Virtual Slides by Pathology Residents. Archives of Pathology & Laboratory Medicine. 136(5). 551–562. 24 indexed citations
9.
Mello‐Thoms, Claudia, C.A.B. Mello, Olga Medvedeva, Eugene Tseytlin, & Rebecca S. Crowley. (2011). Characterizing virtual slide exploration through the use of 'search maps'. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7966. 79660Q–79660Q. 3 indexed citations
10.
Azevedo, Roger, Melissa Castine, Velma L. Payne, et al.. (2009). Factors affecting feeling-of-knowing in a medical intelligent tutoring system: the role of immediate feedback as a metacognitive scaffold. Advances in Health Sciences Education. 15(1). 9–30. 39 indexed citations
11.
Payne, Velma L., Olga Medvedeva, Elizabeth Legowski, et al.. (2009). Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths. Artificial Intelligence in Medicine. 47(3). 175–197. 25 indexed citations
12.
Baumgartner, William A., Zhiyong Lu, H. L. Johnson, et al.. (2008). Concept recognition for extracting protein interaction relations from biomedical text. Genome biology. 9(S2). S9–S9. 39 indexed citations
13.
Caporaso, J. Gregory, William A. Baumgartner, Hyunmin Kim, et al.. (2006). Concept Recognition, Information Retrieval, and Machine Learning in Genomics Question-Answering. Text REtrieval Conference. 5 indexed citations
14.
Crowley, Rebecca S. & Olga Medvedeva. (2005). An intelligent tutoring system for visual classification problem solving. Artificial Intelligence in Medicine. 36(1). 85–117. 63 indexed citations
15.
Legowski, Elizabeth, et al.. (2005). A method for automated detection of usability problems from client user interface events.. PubMed. 654–8. 4 indexed citations
16.
Crowley, Rebecca S., et al.. (2005). An ITS for medical classification problem-solving: Effects of tutoring and representations. 192–199. 11 indexed citations
17.
Crowley, Rebecca S. & Olga Medvedeva. (2003). A general architecture for intelligent tutoring of diagnostic classification problem solving.. Europe PMC (PubMed Central). 185–9. 27 indexed citations
18.
RITTER, STEVE, et al.. (1998). Authoring Content in the PAT Algebra Tutor. Journal of Interactive Media in Education. 1998(2). 9–9. 20 indexed citations

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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