Nico M. Schmidt
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Co-authors
- Benjamin BlankertzMatthias S. TrederAli BahramisharifMarcel van GervenTim FingscheidtJochen RangerAnett WolgastPeter König
- Topics
- EEG and Brain-Computer Interfaces (6 papers)Advanced Neural Network Applications (5 papers)Domain Adaptation and Few-Shot Learning (4 papers)
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Nico M. Schmidt
23 papers receiving 510 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 353
- Cellular and Molecular Neuroscience 125
- Computer Vision and Pattern Recognition 121
- Human-Computer Interaction 97
- Artificial Intelligence 75
Countries citing papers authored by Nico M. Schmidt
This map shows the geographic impact of Nico M. Schmidt'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 Nico M. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico M. Schmidt more than expected).
Fields of papers citing papers by Nico M. Schmidt
This network shows the impact of papers produced by Nico M. Schmidt. 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 Nico M. Schmidt. The network helps show where Nico M. Schmidt may publish in the future.
Co-authorship network of co-authors of Nico M. Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Nico M. Schmidt. A scholar is included among the top collaborators of Nico M. Schmidt 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 Nico M. Schmidt. Nico M. Schmidt 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 | 22 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 22 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 44 | |
| 13 | 66 | |
| 14 | 146 | |
| 15 | 82 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 1 |
About Nico M. Schmidt
Nico M. Schmidt is a scholar working on Human-Computer Interaction, Developmental Biology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 532 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Cognitive Neuroscience (353 citations), Human-Computer Interaction (97 citations) and Cellular and Molecular Neuroscience (125 citations). Nico M. Schmidt has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Benjamin Blankertz, Matthias S. Treder, Ali Bahramisharif, Marcel van Gerven, Tim Fingscheidt, Jochen Ranger, Anett Wolgast, Peter König, Niklas Wilming and Simon Harst. Their work appears in journals such as IEEE Access, Frontiers in Psychology and PLoS Computational Biology.
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.