Malte J. Rasch

9.5k total citations · 2 hit papers
60 papers, 4.2k citations indexed

About

Malte J. Rasch is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Malte J. Rasch has authored 60 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 26 papers in Cognitive Neuroscience and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Malte J. Rasch's work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Neural dynamics and brain function (16 papers). Malte J. Rasch is often cited by papers focused on Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Neural dynamics and brain function (16 papers). Malte J. Rasch collaborates with scholars based in United States, China and Germany. Malte J. Rasch's co-authors include Arthur Gretton, Karsten Borgwardt, Bernhard Schölkopf, Alexander J. Smola, Alex Smola, Hans‐Peter Kriegel, Nikos K. Logothetis, Yusuke Murayama, Gerd Kempermann and Laurenz Wiskott and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Malte J. Rasch

56 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrating structured biological data by Kernel Maximum Mean Discrepancy

2006 1.1k citations Karsten Borgwardt, Arthur Gretton et al. profile →
A kernel two-sample test

2012 1.0k citations Arthur Gretton, Karsten Borgwardt et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Malte J. Rasch United States	24	1.4k	1.4k	911	785	519	60	4.2k
Shin Ishii Japan	36	2.1k 1.5×	1.3k 0.9×	788 0.9×	1.3k 1.6×	330 0.6×	234	6.3k
Nigel Goddard United Kingdom	20	818 0.6×	1.0k 0.7×	381 0.4×	586 0.7×	551 1.1×	58	3.4k
Nathan Intrator Israel	36	1.0k 0.7×	1.2k 0.9×	306 0.3×	696 0.9×	321 0.6×	135	4.5k
Alexander Kraskov United Kingdom	30	999 0.7×	3.5k 2.6×	1.0k 1.1×	365 0.5×	319 0.6×	45	6.6k
Sara A. Solla United States	36	2.3k 1.6×	1.9k 1.4×	944 1.0×	976 1.2×	446 0.9×	77	5.5k
Jagath C. Rajapakse Singapore	37	1.0k 0.7×	2.4k 1.7×	424 0.5×	1.0k 1.3×	171 0.3×	214	7.7k
Dewen Hu China	58	1.8k 1.3×	6.2k 4.5×	1.3k 1.5×	1.7k 2.1×	996 1.9×	367	11.7k
Tom T. Hartley United States	42	411 0.3×	3.7k 2.7×	1.1k 1.2×	484 0.6×	354 0.7×	190	8.7k
D.H. Ballard United States	23	946 0.7×	2.9k 2.1×	307 0.3×	3.3k 4.2×	401 0.8×	64	9.1k
Surya Ganguli United States	37	1.5k 1.1×	2.5k 1.8×	1.5k 1.6×	486 0.6×	484 0.9×	119	5.1k

Countries citing papers authored by Malte J. Rasch

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Malte J. Rasch

This figure shows the co-authorship network connecting the top 25 collaborators of Malte J. Rasch. A scholar is included among the top collaborators of Malte J. Rasch 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 Malte J. Rasch. Malte J. Rasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ambrogio, Stefano, Pritish Narayanan, Charles Mackin, et al.. (2025). Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip. Nature Communications. 16(1). 8661–8661. 1 indexed citations

Cheng, Huai‐Yu, A. Majumdar, J. Su, et al.. (2024). State-Independent Low Resistance Drift SiSbTe Phase Change Memory for Analog In-Memory Computing Applications. 1–2. 3 indexed citations

Rasch, Malte J., et al.. (2024). Fast and robust analog in-memory deep neural network training. Nature Communications. 15(1). 7133–7133. 7 indexed citations

Li, Ning, Charles Mackin, An Chen, et al.. (2023). Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference. Advanced Electronic Materials. 9(6). 5 indexed citations

Rasch, Malte J., Charles Mackin, Manuel Le Gallo, et al.. (2023). Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. Nature Communications. 14(1). 5282–5282. 77 indexed citations

Gallo, Manuel Le, Corey Lammie, Julian Büchel, et al.. (2023). Using the IBM analog in-memory hardware acceleration kit for neural network training and inference. SHILAP Revista de lepidopterología. 1(4). 27 indexed citations

Li, Ning, Hsinyu Tsai, Vijay Narayanan, & Malte J. Rasch. (2023). Impact of analog memory device failure on in-memory computing inference accuracy. SHILAP Revista de lepidopterología. 1(1). 3 indexed citations

Mackin, Charles, Malte J. Rasch, An Chen, et al.. (2022). Optimised weight programming for analogue memory-based deep neural networks. Nature Communications. 13(1). 3765–3765. 34 indexed citations

Yin, Luping, Rui Zheng, Ke Wei, et al.. (2018). Autapses enhance bursting and coincidence detection in neocortical pyramidal cells. Nature Communications. 9(1). 4890–4890. 76 indexed citations

10.

Li, Yao, et al.. (2016). Selective Maturation of Temporal Dynamics of Intracortical Excitatory Transmission at the Critical Period Onset. Cell Reports. 16(6). 1677–1689. 24 indexed citations

11.

Yan, Yin, et al.. (2014). Perceptual training continuously refines neuronal population codes in primary visual cortex. Nature Neuroscience. 17(10). 1380–1387. 100 indexed citations

12.

Wu, Si, et al.. (2013). Design principles of the sparse coding network and the role of “sister cells” in the olfactory system of Drosophila. Frontiers in Computational Neuroscience. 7. 141–141. 6 indexed citations

13.

Li, Yuanqing, et al.. (2013). Nonlinear multiplicative dendritic integration in neuron and network models. Frontiers in Computational Neuroscience. 7. 56–56. 17 indexed citations

14.

Gretton, Arthur, Karsten Borgwardt, Malte J. Rasch, Bernhard Schölkopf, & Alexander J. Smola. (2012). A kernel two-sample test. Journal of Machine Learning Research. 13(1). 723–773. 1025 indexed citations breakdown →

15.

Rasch, Malte J., Nikos K. Logothetis, & Gabriel Kreiman. (2009). From Neurons to Circuits: Linear Estimation of Local Field Potentials. Journal of Neuroscience. 29(44). 13785–13796. 53 indexed citations

16.

Montemurro, Marcelo A., Malte J. Rasch, Yusuke Murayama, Nikos K. Logothetis, & Stefano Panzeri. (2008). Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex. Current Biology. 18(5). 375–380. 298 indexed citations

17.

Rasch, Malte J., Arthur Gretton, Yusuke Murayama, Wolfgang Maass, & Nikos K. Logothetis. (2007). Inferring Spike Trains From Local Field Potentials. Journal of Neurophysiology. 99(3). 1461–1476. 165 indexed citations

18.

Gretton, Arthur, Karsten Borgwardt, Malte J. Rasch, Bernhard Schoelkopf, & Alexander J. Smola. (2007). A kernel method to comparing distributions. ANU Open Research (Australian National University). 1 indexed citations

19.

Gretton, Arthur, Karsten Borgwardt, Malte J. Rasch, Bernhard Schölkopf, & Alexander J. Smola. (2007). A kernel approach to comparing distributions. Max Planck Institute for Plasma Physics. 1637–1641. 27 indexed citations

20.

Rasch, Malte J., W. O. Saxton, & W. Baumeister. (1984). The regular surface layer ofAcetogenium kivui: some structural, developmental and evolutionary aspects. FEMS Microbiology Letters. 24(2-3). 285–290. 9 indexed citations

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.

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