Malenka Mader
Impact in
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Sleep and Wakefulness Research
Papers in
-
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 2
-
- Forecasting Techniques and Applications 2
- Co-authors
- Andreas Schulze‐Bonhage (4 shared papers)Julia Jacobs (3 shared papers)Joyce Y. Wu (1 shared paper)Rina Zelmann (1 shared paper)François Dubeau (1 shared paper)Jean Gotman (1 shared paper)Gary W. Mathern (1 shared paper)Piero Perucca (1 shared paper)
- Journals
- Brain Topography (1 paper)Scientific Reports (1 paper)International Journal of Neural Systems (1 paper)Neurology (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Malenka Mader
12 papers receiving 319 citations
Peers
Comparison fields: 5 of 58
- Psychiatry and Mental health 145
- Cognitive Neuroscience 174
- Cellular and Molecular Neuroscience 83
- Microbiology 7
- Neurology 15
Countries citing papers authored by Malenka Mader
This map shows the geographic impact of Malenka Mader'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 Malenka Mader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malenka Mader more than expected).
Fields of papers citing papers by Malenka Mader
This network shows the impact of papers produced by Malenka Mader. 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 Malenka Mader. The network helps show where Malenka Mader may publish in the future.
Co-authors
The 24 scholars most cited alongside Malenka Mader, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 149 | |
| 2 | 2016 | 43 | |
| 3 | 2018 | 36 | |
| 4 | 2014 | 17 | |
| 5 | 2014 | 17 | |
| 6 | 2014 | 14 | |
| 7 | 2015 | 12 | |
| 8 | 2013 | 11 | |
| 9 | 1997 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 2 |
About Malenka Mader
Malenka Mader is a scholar working on Cognitive Neuroscience, Management Science and Operations Research, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Signal Processing, having authored 12 papers that have together received 322 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), Neural dynamics and brain function (2 papers), EEG and Brain-Computer Interfaces (2 papers), Forecasting Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Neuroscience and Neural Engineering (1 paper), Neurological disorders and treatments (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Psychiatry and Mental health (145 citations), Cognitive Neuroscience (174 citations), Cellular and Molecular Neuroscience (83 citations), Microbiology (7 citations) and Neurology (15 citations). Malenka Mader has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andreas Schulze‐Bonhage, Julia Jacobs, Joyce Y. Wu, Rina Zelmann, François Dubeau, Jean Gotman, Gary W. Mathern, Piero Perucca, Björn Schelter and Matthias Dümpelmann. Their work appears in journals such as Brain Topography, Scientific Reports, International Journal of Neural Systems, Neurology and Clinical & Experimental Immunology.
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.