Günther Schreder
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 10%
- Sociology and Political Science
- Artificial Intelligence
- Museology top 5%
- Co-authors
- Eva MayrFlorian WindhagerPaolo FedericoSilvia MikschMarian DörkLukas ZenkMichael SmucGerald Steiner
- Topics
- Data Visualization and Analytics (8 papers)Video Analysis and Summarization (3 papers)Advanced Text Analysis Techniques (2 papers)
In The Last Decade
Günther Schreder
17 papers receiving 234 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 96
- Human-Computer Interaction 36
- Sociology and Political Science 33
- Artificial Intelligence 28
- Museology 22
Countries citing papers authored by Günther Schreder
This map shows the geographic impact of Günther Schreder'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 Günther Schreder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günther Schreder more than expected).
Fields of papers citing papers by Günther Schreder
This network shows the impact of papers produced by Günther Schreder. 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 Günther Schreder. The network helps show where Günther Schreder may publish in the future.
Co-authorship network of co-authors of Günther Schreder
This figure shows the co-authorship network connecting the top 25 collaborators of Günther Schreder. A scholar is included among the top collaborators of Günther Schreder 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 Günther Schreder. Günther Schreder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 114 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes. | 5 |
| 13 | 3 | |
| 14 | 3 | |
| 15 | A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections. | 7 |
| 16 | 3 | |
| 17 | 20 |
About Günther Schreder
Günther Schreder is a scholar working on Human-Computer Interaction, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Video Analysis and Summarization (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (36 citations), Museology (22 citations) and Computer Vision and Pattern Recognition (96 citations). Günther Schreder has collaborated with scholars based in Austria and Germany. Frequent co-authors include Eva Mayr, Florian Windhager, Paolo Federico, Silvia Miksch, Marian Dörk, Lukas Zenk, Michael Smuc, Gerald Steiner, Bernhard Geißler and Attila Pausits. Their work appears in journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Visualization and Computer Graphics 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.