Julian Seifert
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Information Systems and Management top 10%
- Co-authors
- Enrico RukzioDominik SchmidtHans GellersenChristian WinklerAnnette M. SchmidtDavid DobbelsteinStefan RoitschPaul Holleis
- Topics
- Interactive and Immersive Displays (12 papers)Tactile and Sensory Interactions (10 papers)Augmented Reality Applications (5 papers)
- Cited by
- Human-Computer InteractionInformation Systems and ManagementComputer Vision and Pattern Recognition
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Julian Seifert
23 papers receiving 330 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 227
- Computer Vision and Pattern Recognition 108
- Cognitive Neuroscience 77
- Biomedical Engineering 51
- Information Systems and Management 38
Countries citing papers authored by Julian Seifert
This map shows the geographic impact of Julian Seifert'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 Julian Seifert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Seifert more than expected).
Fields of papers citing papers by Julian Seifert
This network shows the impact of papers produced by Julian Seifert. 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 Julian Seifert. The network helps show where Julian Seifert may publish in the future.
Co-authorship network of co-authors of Julian Seifert
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Seifert. A scholar is included among the top collaborators of Julian Seifert 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 Julian Seifert. Julian Seifert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | Facilitating flexible, enquiry - based experiential learning through an accessible, three-dimensional virtual learning environment (3DVLE) | 0 |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | CoDaMine: Effiziente soziale Interaktion durch die Analyse der Online-Kommunikation im Instant Text Messaging | 1 |
| 20 | 3 |
About Julian Seifert
Julian Seifert is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Information Systems and Management, having authored 25 papers that have together received 333 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (12 papers), Tactile and Sensory Interactions (10 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Human-Computer Interaction (227 citations), Information Systems and Management (38 citations) and Computer Vision and Pattern Recognition (108 citations). Julian Seifert has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Enrico Rukzio, Dominik Schmidt, Hans Gellersen, Christian Winkler, Annette M. Schmidt, David Dobbelstein, Stefan Roitsch, Paul Holleis, Adalberto L. Simeone and Ioana Slabu. Their work appears in journals such as Journal of Applied Crystallography, Soft Matter and Journal of Magnetism and Magnetic Materials.
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.