Lukas Großberger

9.2k total citations · 1 hit paper
4 papers, 4.6k citations indexed

About

Lukas Großberger is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Lukas Großberger has authored 4 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 2 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Lukas Großberger's work include Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Lukas Großberger is often cited by papers focused on Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Lukas Großberger collaborates with scholars based in Germany, Netherlands and India. Lukas Großberger's co-authors include Leland McInnes, John Healy, Nathaniel Saul, Martin Vinck, Francesco P. Battaglia, Gerhard Neumann, Christian Daniel, Jan Peters and Moritz Grosse‐Wentrup and has published in prestigious journals such as PLoS Computational Biology, The Journal of Open Source Software and TUGraz OPEN Library (Graz University of Technology).

In The Last Decade

Lukas Großberger

3 papers receiving 4.5k citations

Hit Papers

UMAP: Uniform Manifold Approximation and Projection 2018 2026 2020 2023 2018 1000 2.0k 3.0k 4.0k

Peers

Lukas Großberger
Nathaniel Saul United States
Kun Huang United States
Mauricio Barahona United Kingdom
David M. Rocke United States
John Healy United States
Leland McInnes United States
Guido Sanguinetti United Kingdom
Xiaobo Zhou United States
Píetro Lió United Kingdom
Nathaniel Saul United States
Lukas Großberger
Citations per year, relative to Lukas Großberger Lukas Großberger (= 1×) peers Nathaniel Saul

Countries citing papers authored by Lukas Großberger

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Großberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Großberger

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

All Works

4 of 4 papers shown
1.
Großberger, Lukas, et al.. (2021). Bayesian Context Aggregation for Neural Processes. 3 indexed citations
2.
Großberger, Lukas, et al.. (2020). Investigating Music Imagery As A Cognitive Paradigm For Low-Cost Brain-Computer Interfaces. TUGraz OPEN Library (Graz University of Technology). 160–164.
3.
Großberger, Lukas, Francesco P. Battaglia, & Martin Vinck. (2018). Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. PLoS Computational Biology. 14(7). e1006283–e1006283. 21 indexed citations
4.
McInnes, Leland, John Healy, Nathaniel Saul, & Lukas Großberger. (2018). UMAP: Uniform Manifold Approximation and Projection. The Journal of Open Source Software. 3(29). 861–861. 4554 indexed citations breakdown →

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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