Lars Lischke
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Social Psychology
- Information Systems and Management top 10%
- Co-authors
- Sven MayerPaweł W. WoźniakAlbrecht SchmidtNiels HenzeMorten FjeldAlireza Sahami ShiraziMarkus FunkAndrzej Romanowski
- Topics
- Interactive and Immersive Displays (19 papers)Innovative Human-Technology Interaction (9 papers)Data Visualization and Analytics (8 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionInformation Systems and Management
- Journals
- IEEE Pervasive ComputingProceedings of the ACM on Human-Computer InteractionResearch Explorer (The University of Manchester)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Lars Lischke
36 papers receiving 322 citations
Peers
Comparison fields: 5 of 62
- Human-Computer Interaction 231
- Computer Vision and Pattern Recognition 130
- Cognitive Neuroscience 89
- Social Psychology 51
- Information Systems and Management 39
Countries citing papers authored by Lars Lischke
This map shows the geographic impact of Lars Lischke'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 Lars Lischke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Lischke more than expected).
Fields of papers citing papers by Lars Lischke
This network shows the impact of papers produced by Lars Lischke. 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 Lars Lischke. The network helps show where Lars Lischke may publish in the future.
Co-authorship network of co-authors of Lars Lischke
This figure shows the co-authorship network connecting the top 25 collaborators of Lars Lischke. A scholar is included among the top collaborators of Lars Lischke 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 Lars Lischke. Lars Lischke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 17 | |
| 3 | Drones for Search and Rescue | 3 |
| 4 | NLATool: an Application for Enhanced Deep Text Understanding | 1 |
| 5 | 14 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | 1 |
About Lars Lischke
Lars Lischke is a scholar working on Human-Computer Interaction, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 331 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (19 papers), Innovative Human-Technology Interaction (9 papers) and Data Visualization and Analytics (8 papers). The work is most often cited by research in Human-Computer Interaction (231 citations), Computer Vision and Pattern Recognition (130 citations) and Information Systems and Management (39 citations). Lars Lischke has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Sven Mayer, Paweł W. Woźniak, Albrecht Schmidt, Niels Henze, Morten Fjeld, Alireza Sahami Shirazi, Markus Funk, Andrzej Romanowski, Krzysztof Grudzień and Nitesh Goyal. Their work appears in journals such as IEEE Pervasive Computing, Proceedings of the ACM on Human-Computer Interaction and Research Explorer (The University of Manchester).
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.