Olga Kuchar

415 total citations
9 papers, 238 citations indexed

About

Olga Kuchar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Olga Kuchar has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Olga Kuchar's work include Data Visualization and Analytics (4 papers), Visual and Cognitive Learning Processes (1 paper) and Geographic Information Systems Studies (1 paper). Olga Kuchar is often cited by papers focused on Data Visualization and Analytics (4 papers), Visual and Cognitive Learning Processes (1 paper) and Geographic Information Systems Studies (1 paper). Olga Kuchar collaborates with scholars based in United States and Czechia. Olga Kuchar's 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 and has published in prestigious journals such as Computer, European Journal of Nuclear Medicine and Molecular Imaging and IEEE Computer Graphics and Applications.

In The Last Decade

Olga Kuchar

7 papers receiving 215 citations

Peers

Olga Kuchar

DEP

CVPR

SPS

HI

AI

Nicolas Nova Switzerland

Laura Anna Ripamonti Italy

Telmo Zarraonandía Spain

Philipp Herzig Germany

Lizzy Bleumers Belgium

Ulrike Lucke Germany

Mark Stimson United States

Heather Richter United States

Benjamin Lafreniere Canada

Rhema Linder United States

Nicolas Nova Switzerland

Olga Kuchar

69 ×0.8

DEP

33 ×0.5

CVPR

48 ×0.9

SPS

64 ×1.4

HI

26 ×0.6

AI

Citations per year, relative to Olga Kuchar Olga Kuchar (= 1×) peers Nicolas Nova

Countries citing papers authored by Olga Kuchar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

1.

Duncan, J.Michael, Ruonan Wu, Lindsey Anderson, et al.. (2025). EcoKMER: One-stop shop for spatio-temporal metagenomic exploration using DataFed. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations

2.

Maheshwari, Ketan, et al.. (2022). Pseudonymization at Scale: OLCF’s Summit Usage Data Case Study. 2022 IEEE International Conference on Big Data (Big Data). 3432–3440.

3.

Thomas, James J., et al.. (2020). Discovering Knowledge Through Visual Analysis. JUCS - Journal of Universal Computer Science. 7(6). 517–529. 1 indexed citations

4.

Chin, George, et al.. (2009). Exploring the analytical processes of intelligence analysts. 11–20. 58 indexed citations

5.

Greitzer, Frank L., et al.. (2007). Cognitive science implications for enhancing training effectiveness in a serious gaming context. 7(3). 2–2. 159 indexed citations

6.

Kuchar, Olga, et al.. (2006). Isn't it about time? [data visualization]. IEEE Computer Graphics and Applications. 26(3). 80–83. 1 indexed citations

7.

Chin, George, et al.. (2006). Developing Concept-Based User Interfaces for Scientific Computing. Computer. 39(9). 26–34. 6 indexed citations

8.

Kuchar, Olga, et al.. (2005). Graph-based comparisons of scenarios in intelligence analysis. 24. 3175–3180. 11 indexed citations

9.

Kuchar, Olga, et al.. (1980). Dynamic scintigraphy with high temporal resolution. European Journal of Nuclear Medicine and Molecular Imaging. 5(1). 7–13. 1 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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