Ulrike Spierling
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Control and Systems Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Norbert BraunIdo IurgelRalf DörnerVolker CoorsRainer MalakaIsabel RojasWolfgang MüllerMarc Alexa
- Topics
- Digital Games and Media (10 papers)Artificial Intelligence in Games (7 papers)Augmented Reality Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers & GraphicsApplied Artificial Intelligence
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Ulrike Spierling
23 papers receiving 137 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 66
- Computer Vision and Pattern Recognition 51
- Sociology and Political Science 42
- Control and Systems Engineering 37
- Human-Computer Interaction 34
Countries citing papers authored by Ulrike Spierling
This map shows the geographic impact of Ulrike Spierling'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 Ulrike Spierling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Spierling more than expected).
Fields of papers citing papers by Ulrike Spierling
This network shows the impact of papers produced by Ulrike Spierling. 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 Ulrike Spierling. The network helps show where Ulrike Spierling may publish in the future.
Co-authorship network of co-authors of Ulrike Spierling
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Spierling. A scholar is included among the top collaborators of Ulrike Spierling 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 Ulrike Spierling. Ulrike Spierling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | Creativity in Configuring Affective Agents for Interactive Storytelling. | 7 |
| 11 | 2 | |
| 12 | 3 | |
| 13 | Interactive Storytelling: First Joint International Conference on Interactive Digital Storytelling, ICIDS 2008 Erfurt, Germany, November 26-29, 2008, Proceedings ... Applications, incl. Internet/Web, and HCI) | 2 |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 54 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | 3 |
About Ulrike Spierling
Ulrike Spierling is a scholar working on Museology, Human-Computer Interaction and Developmental and Educational Psychology, having authored 26 papers that have together received 156 indexed citations. Recurring topics across this work include Digital Games and Media (10 papers), Artificial Intelligence in Games (7 papers) and Augmented Reality Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Computer Vision and Pattern Recognition (51 citations) and Speech and Hearing (17 citations). Ulrike Spierling has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Norbert Braun, Ido Iurgel, Ralf Dörner, Volker Coors, Rainer Malaka, Isabel Rojas, Wolfgang Müller, Marc Alexa, Steve Hoffman and Paolo Petta. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Graphics and Applied Artificial Intelligence.
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.