Viktoria Pammer‐Schindler

94 papers receiving 678 citations

Peers

Viktoria Pammer‐Schindler
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 143
  • Developmental and Educational Psychology 135
  • Computer Science Applications 134
  • Human-Computer Interaction 127
  • Artificial Intelligence 126
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Citations per year

Countries citing papers authored by Viktoria Pammer‐Schindler

Since Specialization
Citations

This map shows the geographic impact of Viktoria Pammer‐Schindler'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 Viktoria Pammer‐Schindler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktoria Pammer‐Schindler more than expected).

Fields of papers citing papers by Viktoria Pammer‐Schindler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktoria Pammer‐Schindler. 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 Viktoria Pammer‐Schindler. The network helps show where Viktoria Pammer‐Schindler may publish in the future.

Co-authorship network of co-authors of Viktoria Pammer‐Schindler

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 1
4 0
5 11
6 1
7 2
8 8
9 1
10
The Data Product Canvas - A Visual Collaborative Tool for Designing Data-Driven Business Models
4
11
Rebo Junior: Analysis of Dialogue Structure Quality for a Reflection Guidance Chatbot
4
12 12
13 25
14 11
15
Simulation-based co-creation of algorithms
1
16 5
17
Revision Support for Modeling Tasks, Topics and Skills
1
18
Collaborative Knowledge Engineering via Semantic MediaWiki
7
19
Information Retrieval on the Semantic Web - Does it exist?
9
20
Ontology Coverage Check: support for evaluation in ontology engineering
6

About Viktoria Pammer‐Schindler

Viktoria Pammer‐Schindler is a scholar working on Human Factors and Ergonomics, Human-Computer Interaction and Computer Science Applications, having authored 102 papers that have together received 735 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (20 papers), Reflective Practices in Education (12 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Computer Science Applications (134 citations), Human-Computer Interaction (127 citations) and Developmental and Educational Psychology (135 citations). Viktoria Pammer‐Schindler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Angela Fessl, Stefanie Lindstaedt, Eduardo Veas, Michael Prilla, Abelardo Pardo, Stefan Thalmann, Georg Thallinger, Lars Müller, Elisabeth Lex and Carolyn Penstein Rosé. Their work appears in journals such as Journal of the Association for Information Systems, British Journal of Educational Technology and Journal of Computer Assisted Learning.

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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