Aicko Y. Schumann
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Economics and Econometrics top 5%
- Biomedical Engineering
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Jan W. KantelhardtThomas PenzelRonny P. BartschPlamen Ch. IvanovGeorg SchmidtAxel BauerMarco BaiesiPetra Barthel
- Topics
- Complex Systems and Time Series Analysis (6 papers)Neural dynamics and brain function (5 papers)EEG and Brain-Computer Interfaces (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCognitive NeuroscienceStatistical and Nonlinear Physics
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Aicko Y. Schumann
18 papers receiving 745 citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 303
- Cognitive Neuroscience 236
- Economics and Econometrics 212
- Biomedical Engineering 182
- Statistical and Nonlinear Physics 110
Countries citing papers authored by Aicko Y. Schumann
This map shows the geographic impact of Aicko Y. Schumann'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 Aicko Y. Schumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aicko Y. Schumann more than expected).
Fields of papers citing papers by Aicko Y. Schumann
This network shows the impact of papers produced by Aicko Y. Schumann. 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 Aicko Y. Schumann. The network helps show where Aicko Y. Schumann may publish in the future.
Co-authorship network of co-authors of Aicko Y. Schumann
This figure shows the co-authorship network connecting the top 25 collaborators of Aicko Y. Schumann. A scholar is included among the top collaborators of Aicko Y. Schumann 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 Aicko Y. Schumann. Aicko Y. Schumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 15 | |
| 4 | 22 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 60 | |
| 10 | 192 | |
| 11 | 80 | |
| 12 | 67 | |
| 13 | 85 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 24 | |
| 17 | 26 | |
| 18 | 82 |
About Aicko Y. Schumann
Aicko Y. Schumann is a scholar working on Sensory Systems, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 18 papers that have together received 756 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (303 citations), Cognitive Neuroscience (236 citations) and Statistical and Nonlinear Physics (110 citations). Aicko Y. Schumann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Jan W. Kantelhardt, Thomas Penzel, Ronny P. Bartsch, Plamen Ch. Ivanov, Georg Schmidt, Axel Bauer, Marco Baiesi, Petra Barthel, Jörn Davidsen and Mikhail I. Bogachev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and NeuroImage.
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.