Daniel Bartz

435 total citations
6 papers, 95 citations indexed

About

Daniel Bartz is a scholar working on Signal Processing, Cognitive Neuroscience and Economics and Econometrics. According to data from OpenAlex, Daniel Bartz has authored 6 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 3 papers in Cognitive Neuroscience and 2 papers in Economics and Econometrics. Recurrent topics in Daniel Bartz's work include Blind Source Separation Techniques (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Neural dynamics and brain function (2 papers). Daniel Bartz is often cited by papers focused on Blind Source Separation Techniques (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Neural dynamics and brain function (2 papers). Daniel Bartz collaborates with scholars based in Germany, South Korea and United States. Daniel Bartz's co-authors include Klaus‐Robert Müller, Stefan Haufe, Irene Winkler, Steven Lemm, Benjamin Blankertz, Johannes Höhne, Christian W. Hesse and Martin N. Hebart and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Signal Processing.

In The Last Decade

Daniel Bartz

6 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Bartz Germany	5	64	17	13	9	8	6	95
Shanghong Xie United States	6	54 0.8×	5 0.3×	13 1.0×	10 1.1×	19 2.4×	13	122
Peter Steinbach Germany	4	69 1.1×	17 1.0×	2 0.2×	2 0.2×	12 1.5×	22	144
Dominik Krzemiński United Kingdom	5	84 1.3×	5 0.3×	17 1.3×	1 0.1×	9 1.1×	7	105
Ankit Gupta Sweden	4	81 1.3×	24 1.4×	7 0.5×	1 0.1×	12 1.5×	7	135
J Eichhorn Germany	3	53 0.8×	12 0.7×	11 0.8×		13 1.6×	4	99
Xuyun Sun China	4	42 0.7×	8 0.5×	7 0.5×			6	55
Michael Deistler Germany	3	86 1.3×	3 0.2×	37 2.8×	3 0.3×	29 3.6×	6	136
Garland Culbreth United States	5	28 0.4×	6 0.4×	1 0.1×	23 2.6×	4 0.5×	9	95
Lyuba Zehl Germany	6	77 1.2×		32 2.5×	2 0.2×	7 0.9×	8	122
Abbas Kazemipour United States	3	44 0.7×	4 0.2×	56 4.3×	1 0.1×	18 2.3×	8	126

Countries citing papers authored by Daniel Bartz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Bartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bartz

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

All Works

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6 of 6 papers shown

1.

Winkler, Irene, et al.. (2016). Validity of Time Reversal for Testing Granger Causality. IEEE Transactions on Signal Processing. 64(11). 2746–2760. 47 indexed citations

2.

Höhne, Johannes, Daniel Bartz, Martin N. Hebart, Klaus‐Robert Müller, & Benjamin Blankertz. (2015). Analyzing neuroimaging data with subclasses: A shrinkage approach. NeuroImage. 124(Pt A). 740–751. 8 indexed citations

3.

Bartz, Daniel & Klaus‐Robert Müller. (2014). Covariance shrinkage for autocorrelated data. 27. 1592–1600. 10 indexed citations

4.

Höhne, Johannes, Benjamin Blankertz, Klaus‐Robert Müller, & Daniel Bartz. (2014). Mean shrinkage improves the classification of ERP signals by exploiting additional label information. 1. 1–4. 4 indexed citations

5.

Bartz, Daniel & Klaus‐Robert Müller. (2013). Generalizing Analytic Shrinkage for Arbitrary Covariance Structures. 26. 1869–1877. 10 indexed citations

6.

Bartz, Daniel, et al.. (2013). Directional Variance Adjustment: Bias Reduction in Covariance Matrices Based on Factor Analysis with an Application to Portfolio Optimization. PLoS ONE. 8(7). e67503–e67503. 16 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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