Malte J. Rasch
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 16
- Face Recognition and Perception 6
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- Neuroscience and Neuropharmacology Research 14
- Photoreceptor and optogenetics research 7
- Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing 5
- Developmental Neuroscience top 2%
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- Advanced Memory and Neural Computing 27
- Ferroelectric and Negative Capacitance Devices 17
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- Phase-change materials and chalcogenides 4
- Co-authors
- Arthur GrettonKarsten BorgwardtBernhard SchölkopfAlexander J. SmolaHans‐Peter KriegelAlex SmolaNikos K. LogothetisYusuke Murayama
- Journals
- Scientific Reports (5 papers)Nature Communications (5 papers)Journal of Neuroscience (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Malte J. Rasch
56 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 911
- Artificial Intelligence 1.4k
- Developmental Neuroscience 180
- Computer Vision and Pattern Recognition 785
Countries citing papers authored by Malte J. Rasch
This map shows the geographic impact of Malte J. Rasch'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 Malte J. Rasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte J. Rasch more than expected).
Fields of papers citing papers by Malte J. Rasch
This network shows the impact of papers produced by Malte J. Rasch. 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 Malte J. Rasch. The network helps show where Malte J. Rasch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Malte J. Rasch, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 77 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 34 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 76 | |
| 11 | 2016 | 32 | |
| 12 | 2014 | 100 | |
| 13 | 2013 | 17 | |
| 14 | A kernel two-sample testbreakdown → | 2012 | 1025 |
| 15 | 2009 | 53 | |
| 16 | 2008 | 298 | |
| 17 | A kernel method to comparing distributions | 2007 | 1 |
| 18 | 2007 | 165 | |
| 19 | A kernel approach to comparing distributions | 2007 | 27 |
| 20 | 2006 | 225 |
About Malte J. Rasch
Malte J. Rasch is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 60 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (17 papers), Neural dynamics and brain function (16 papers), Neuroscience and Neuropharmacology Research (14 papers), Photoreceptor and optogenetics research (7 papers), Face Recognition and Perception (6 papers), Neural Networks and Reservoir Computing (5 papers) and Phase-change materials and chalcogenides (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (911 citations) and Artificial Intelligence (1.4k citations). Malte J. Rasch has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Arthur Gretton, Karsten Borgwardt, Bernhard Schölkopf, Alexander J. Smola, Hans‐Peter Kriegel, Alex Smola, Nikos K. Logothetis, Yusuke Murayama, Gerd Kempermann and Laurenz Wiskott. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Neuroscience, Journal of Neurophysiology and Nature 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.