Alexander Hanuschkin

740 total citations
15 papers, 478 citations indexed

About

Alexander Hanuschkin is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Hanuschkin has authored 15 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Developmental Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Hanuschkin's work include Animal Behavior and Reproduction (5 papers), Animal Vocal Communication and Behavior (5 papers) and Neural dynamics and brain function (4 papers). Alexander Hanuschkin is often cited by papers focused on Animal Behavior and Reproduction (5 papers), Animal Vocal Communication and Behavior (5 papers) and Neural dynamics and brain function (4 papers). Alexander Hanuschkin collaborates with scholars based in Germany, Japan and Switzerland. Alexander Hanuschkin's co-authors include Richard H. R. Hahnloser, Abigail Morrison, Markus Diesmann, Tatsuo S. Okubo, Galen F. Lynch, Michale S. Fee, Surya Ganguli, Steven Peters, Jakob Wolfart and Benjamin Böhm and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Alexander Hanuschkin

15 papers receiving 470 citations

Peers

Countries citing papers authored by Alexander Hanuschkin

Since Specialization

Citations

This map shows the geographic impact of Alexander Hanuschkin'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 Alexander Hanuschkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hanuschkin more than expected).

Fields of papers citing papers by Alexander Hanuschkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Hanuschkin. 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 Alexander Hanuschkin. The network helps show where Alexander Hanuschkin may publish in the future.

Co-authorship network of co-authors of Alexander Hanuschkin

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine 2020 ·International Journal of Engine Research ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Steven Peters, Andreas Dreizler, Benjamin Böhm, Alexander Hanuschkin	20
2	Investigation of cycle-to-cycle variations in a spark-ignition engine based on a machine learning analysis of the early flame kernel 2020 ·Proceedings of the Combustion Institute ·Alexander Hanuschkin, (unknown), (unknown), (unknown), (unknown), Steven Peters, Andreas Dreizler, Benjamin Böhm	24
3	Machine learning–based analysis of in-cylinder flow fields to predict combustion engine performance 2019 ·International Journal of Engine Research ·Alexander Hanuschkin, Steffen Schober, (unknown), (unknown), Benjamin Böhm, Christian Krüger, Steven Peters	36
4	Songbirds work around computational complexity by learning song vocabulary independently of sequence 2017 ·Nature Communications ·Dina Lipkind, (unknown), Alexander Hanuschkin, Gary Marcus, Ofer Tchernichovski, Richard H. R. Hahnloser	44
5	Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex 2016 ·Neuron ·Galen F. Lynch, Tatsuo S. Okubo, Alexander Hanuschkin, Richard H. R. Hahnloser, Michale S. Fee	59
6	Modular composition and dynamics of native GABAB receptors identified by high-resolution proteomics 2015 ·Nature Neuroscience ·Jochen Schwenk, Enrique Pérez‐Garci, Andy Schneider, Astrid Kollewe, Anne Gauthier‐Kemper, Thorsten Fritzius, Adi Raveh, Margarita C. Dinamarca, Alexander Hanuschkin, Wolfgang Bildl, Jürgen Klingauf, Martin Gassmann, Uwe Schulte, Bernhard Bettler, Bernd Fakler	106
7	Intrinsic rescaling of granule cells restores pattern separation ability of a dentate gyrus network model during epileptic hyperexcitability 2014 ·Hippocampus ·(unknown), Alexander Hanuschkin, Jakob Wolfart	31
8	A Hebbian learning rule gives rise to mirror neurons and links them to control theoretic inverse models 2013 ·Frontiers in Neural Circuits ·Alexander Hanuschkin, Surya Ganguli, Richard H. R. Hahnloser	37
9	A reafferent and feed-forward model of song syntax generation in the Bengalese finch 2011 ·Journal of Computational Neuroscience ·Alexander Hanuschkin, Markus Diesmann, Abigail Morrison	23
10	Adaptive Intrinsic Plasticity in Human Dentate Gyrus Granule Cells during Temporal Lobe Epilepsy 2011 ·Cerebral Cortex ·(unknown), (unknown), Alexander Hanuschkin, Ori Staszewski, Rüdiger W. Veh, (unknown)	38
11	A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations 2010 ·Frontiers in Neuroinformatics ·Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann	43
12	Compositionality of arm movements can be realized by propagating synchrony 2010 ·Journal of Computational Neuroscience ·Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann	9
13	A reafferent model of song syntax generation in the Bengalese finch 2010 ·BMC Neuroscience ·Alexander Hanuschkin, Markus Diesmann, Abigail Morrison	4
14	A model of free monkey scribbling based on the propagation of cell assembly activity 2009 ·BMC Neuroscience ·Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann	2
15	Comparison of methods to calculate exact spike times in integrate-and-fire neurons with exponential currents 2008 ·BMC Neuroscience ·Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann	2

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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