Jagoda Walny
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Sociology and Political Science
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Sheelagh CarpendaleNathalie Henry RicheSamuel HuronPaul JohnsBongshin LeeGina VenoliaMarian DörkCharles Périn
- Topics
- Data Visualization and Analytics (10 papers)Interactive and Immersive Displays (4 papers)Multimedia Communication and Technology (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- CanadaUnited KingdomDenmark
In The Last Decade
Jagoda Walny
15 papers receiving 265 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 185
- Human-Computer Interaction 109
- Sociology and Political Science 54
- Artificial Intelligence 43
- Cognitive Neuroscience 29
Countries citing papers authored by Jagoda Walny
This map shows the geographic impact of Jagoda Walny'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 Jagoda Walny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagoda Walny more than expected).
Fields of papers citing papers by Jagoda Walny
This network shows the impact of papers produced by Jagoda Walny. 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 Jagoda Walny. The network helps show where Jagoda Walny may publish in the future.
Co-authorship network of co-authors of Jagoda Walny
This figure shows the co-authorship network connecting the top 25 collaborators of Jagoda Walny. A scholar is included among the top collaborators of Jagoda Walny 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 Jagoda Walny. Jagoda Walny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 43 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 65 | |
| 13 | 1 | |
| 14 | 62 | |
| 15 | 25 |
About Jagoda Walny
Jagoda Walny is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 15 papers that have together received 274 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Interactive and Immersive Displays (4 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Computer Vision and Pattern Recognition (185 citations) and Computer Graphics and Computer-Aided Design (14 citations). Jagoda Walny has collaborated with scholars based in Canada, United Kingdom and Denmark. Frequent co-authors include Sheelagh Carpendale, Nathalie Henry Riche, Samuel Huron, Paul Johns, Bongshin Lee, Gina Venolia, Marian Dörk, Charles Périn, Jonathan Sillito and Wesley Willett. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum 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.