Lukas Gehrke
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 10%
- Automotive Engineering
- Social Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Klaus GramannMarius KlugPedro LopesFriederike U. HohlefeldJohn R. IversenHsiang‐Ting ChenScott MakeigAvinash Kumar Singh
- Topics
- Visual perception and processing mechanisms (5 papers)EEG and Brain-Computer Interfaces (4 papers)Virtual Reality Applications and Impacts (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEuropean Journal of Neuroscience
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Lukas Gehrke
13 papers receiving 180 citations
Peers
Comparison fields: 5 of 38
- Cognitive Neuroscience 151
- Human-Computer Interaction 46
- Automotive Engineering 39
- Social Psychology 29
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Lukas Gehrke
This map shows the geographic impact of Lukas Gehrke'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 Lukas Gehrke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Gehrke more than expected).
Fields of papers citing papers by Lukas Gehrke
This network shows the impact of papers produced by Lukas Gehrke. 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 Lukas Gehrke. The network helps show where Lukas Gehrke may publish in the future.
Co-authorship network of co-authors of Lukas Gehrke
This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Gehrke. A scholar is included among the top collaborators of Lukas Gehrke 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 Lukas Gehrke. Lukas Gehrke 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | 25 | |
| 11 | 31 | |
| 12 | 30 | |
| 13 | 2 | |
| 14 | 42 | |
| 15 | Proceedings of the 3rd International Mobile Brain/Body Imaging Conference | 2 |
About Lukas Gehrke
Lukas Gehrke is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Automotive Engineering, having authored 15 papers that have together received 182 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Cognitive Neuroscience (151 citations) and Automotive Engineering (39 citations). Lukas Gehrke has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Klaus Gramann, Marius Klug, Pedro Lopes, Friederike U. Hohlefeld, John R. Iversen, Hsiang‐Ting Chen, Scott Makeig, Avinash Kumar Singh, Chin‐Teng Lin and Makoto Miyakoshi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Neuroscience.
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.