Josef Scharinger
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Josef LangerGerald MadlmayrMichael RolandChristoph GugerRupert OrtnerDănuț-Constantin IrimiaC. GugerKyousuke Kamada
- Topics
- EEG and Brain-Computer Interfaces (23 papers)Neuroscience and Neural Engineering (12 papers)Neural dynamics and brain function (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Neuroscience
In The Last Decade
Josef Scharinger
57 papers receiving 767 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 250
- Cognitive Neuroscience 228
- Information Systems 205
- Computer Networks and Communications 157
- Cellular and Molecular Neuroscience 139
Countries citing papers authored by Josef Scharinger
This map shows the geographic impact of Josef Scharinger'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 Josef Scharinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Scharinger more than expected).
Fields of papers citing papers by Josef Scharinger
This network shows the impact of papers produced by Josef Scharinger. 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 Josef Scharinger. The network helps show where Josef Scharinger may publish in the future.
Co-authorship network of co-authors of Josef Scharinger
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Scharinger. A scholar is included among the top collaborators of Josef Scharinger 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 Josef Scharinger. Josef Scharinger 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 | 7 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 18 | |
| 13 | 19 | |
| 14 | 52 | |
| 15 | Relay Attacks on Secure Element-Enabled Mobile Devices Virtual Pickpocketing Revisited | 5 |
| 16 | 38 | |
| 17 | 6 | |
| 18 | An integrated active perception module for a distributed cognitive architecture | 1 |
| 19 | Near Field Communication based Payment System. | 2 |
| 20 | 1 |
About Josef Scharinger
Josef Scharinger is a scholar working on Cognitive Neuroscience, Media Technology and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 829 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Neuroscience and Neural Engineering (12 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Media Technology (131 citations), Computer Vision and Pattern Recognition (250 citations) and Cognitive Neuroscience (228 citations). Josef Scharinger has collaborated with scholars based in Austria, Japan and Spain. Frequent co-authors include Josef Langer, Gerald Madlmayr, Michael Roland, Christoph Guger, Rupert Ortner, Dănuț-Constantin Irimia, C. Guger, Kyousuke Kamada, Christoph Kapeller and Franz Pichler. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in 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.