Olga Kuchar
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Human-Computer Interaction top 10%
- Artificial Intelligence
- Co-authors
- Frank L. GreitzerGeorge ChinPaul WhitneyKaren SchuchardtEric StephanMargaret S. CheungS. HavreLindsey Anderson
- Topics
- Data Visualization and Analytics (4 papers)Visual and Cognitive Learning Processes (1 paper)Geographic Information Systems Studies (1 paper)
- Cited by
- Human-Computer InteractionDevelopmental and Educational PsychologyComputer Science Applications
- Journals
- ComputerEuropean Journal of Nuclear Medicine and Molecular ImagingIEEE Computer Graphics and Applications
- Partner nations
- United StatesCzechia
In The Last Decade
Olga Kuchar
7 papers receiving 215 citations
Peers
Comparison fields: 5 of 71
- Developmental and Educational Psychology 88
- Computer Vision and Pattern Recognition 69
- Sociology and Political Science 56
- Human-Computer Interaction 46
- Artificial Intelligence 41
Countries citing papers authored by Olga Kuchar
This map shows the geographic impact of Olga Kuchar'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 Kuchar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Kuchar more than expected).
Fields of papers citing papers by Olga Kuchar
This network shows the impact of papers produced by Olga Kuchar. 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 Kuchar. The network helps show where Olga Kuchar may publish in the future.
Co-authorship network of co-authors of Olga Kuchar
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Kuchar. A scholar is included among the top collaborators of Olga Kuchar 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 Kuchar. Olga Kuchar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 58 | |
| 5 | 159 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 1 |
About Olga Kuchar
Olga Kuchar is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Geography, Planning and Development, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Visual and Cognitive Learning Processes (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (46 citations), Developmental and Educational Psychology (88 citations) and Computer Science Applications (32 citations). Olga Kuchar has collaborated with scholars based in United States and Czechia. Frequent co-authors include Frank L. Greitzer, George Chin, Paul Whitney, Karen Schuchardt, Eric Stephan, Margaret S. Cheung, S. Havre, Lindsey Anderson, Lucy Nowell and David D. Pollock. Their work appears in journals such as Computer, European Journal of Nuclear Medicine and Molecular Imaging and IEEE Computer Graphics and Applications.
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.