Sebastian Weichwald

543 total citations
10 papers, 152 citations indexed

About

Sebastian Weichwald is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Sebastian Weichwald has authored 10 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 2 papers in Signal Processing. Recurrent topics in Sebastian Weichwald's work include Neural dynamics and brain function (3 papers), Bayesian Modeling and Causal Inference (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Sebastian Weichwald is often cited by papers focused on Neural dynamics and brain function (3 papers), Bayesian Modeling and Causal Inference (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Sebastian Weichwald collaborates with scholars based in Germany, United Kingdom and Switzerland. Sebastian Weichwald's co-authors include Bernhard Schölkopf, Moritz Grosse‐Wentrup, Jonas Peters, Niklas Koep, James T. Townsend, Tonio Ball, Ozan Özdenizci, Timm Meyer, Niklas Pfister and Dominik Janzing and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

In The Last Decade

Sebastian Weichwald

8 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Weichwald Germany	7	77	46	19	13	12	10	152
Joshua Cape United States	7	46 0.6×	53 1.2×	8 0.4×	24 1.8×	12 1.0×	21	175
Manish Bhattarai United States	7	69 0.9×	101 2.2×	18 0.9×	38 2.9×	7 0.6×	31	260
Mauro F. Pinto Portugal	9	170 2.2×	44 1.0×	30 1.6×	14 1.1×	36 3.0×	17	265
Sanjeev Tannirkulam Chandrasekaran United States	11	52 0.7×	67 1.5×	6 0.3×	7 0.5×	16 1.3×	24	270
Manolis Christodoulakis Cyprus	10	107 1.4×	59 1.3×	45 2.4×	6 0.5×	17 1.4×	32	248
Alaa Bessadok Tunisia	4	84 1.1×	55 1.2×	4 0.2×	40 3.1×	6 0.5×	5	186
Chunfeng Yang China	8	164 2.1×	40 0.9×	67 3.5×	31 2.4×	39 3.3×	33	272
Bedy Purnama Indonesia	10	53 0.7×	53 1.2×	12 0.6×	8 0.6×	10 0.8×	33	254
Christian Uhl Germany	7	149 1.9×	33 0.7×	40 2.1×	22 1.7×	2 0.2×	13	216

Countries citing papers authored by Sebastian Weichwald

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Weichwald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Weichwald

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

All Works

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10 of 10 papers shown

Weichwald, Sebastian, et al.. (2024). spillR : spillover compensation in mass cytometry data. Bioinformatics. 40(6).

Weichwald, Sebastian, et al.. (2024). Adjustment Identification Distance: A gadjid for Causal Structure Learning. arXiv (Cornell University).

Weichwald, Sebastian, Alessandro Candreva, Rebekka Burkholz, et al.. (2021). Improving 1-year mortality prediction in ACS patients using machine learning. European Heart Journal Acute Cardiovascular Care. 10(8). 855–865. 11 indexed citations

Weichwald, Sebastian & Jonas Peters. (2020). Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness. Journal of Cognitive Neuroscience. 33(2). 226–247. 23 indexed citations

Pfister, Niklas, Sebastian Weichwald, Peter Bühlmann, & Bernhard Schölkopf. (2019). Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. Journal of Machine Learning Research. 20(147). 1–50. 8 indexed citations

Weichwald, Sebastian, et al.. (2017). Absence of EEG correlates of self-referential processing depth in ALS. PLoS ONE. 12(6). e0180136–e0180136. 6 indexed citations

Rubenstein, Paul K., Sebastian Weichwald, Joris M. Mooij, et al.. (2017). Causal Consistency of Structural Equation Models. UvA-DARE (University of Amsterdam). 808–817. 11 indexed citations

Townsend, James T., Niklas Koep, & Sebastian Weichwald. (2016). Pymanopt: a python toolbox for optimization on manifolds using automatic differentiation. Journal of Machine Learning Research. 17(1). 4755–4759. 33 indexed citations

Weichwald, Sebastian, Moritz Grosse‐Wentrup, & Arthur Gretton. (2016). MERLiN: Mixture Effect Recovery in Linear Networks. IEEE Journal of Selected Topics in Signal Processing. 10(7). 1254–1266. 2 indexed citations

10.

Weichwald, Sebastian, Timm Meyer, Ozan Özdenizci, et al.. (2015). Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage. 110. 48–59. 58 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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