Claudia Lainscsek

2.2k total citations
37 papers, 1.5k citations indexed

About

Claudia Lainscsek is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Claudia Lainscsek has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 15 papers in Computer Networks and Communications and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Claudia Lainscsek's work include Neural dynamics and brain function (17 papers), Nonlinear Dynamics and Pattern Formation (15 papers) and EEG and Brain-Computer Interfaces (13 papers). Claudia Lainscsek is often cited by papers focused on Neural dynamics and brain function (17 papers), Nonlinear Dynamics and Pattern Formation (15 papers) and EEG and Brain-Computer Interfaces (13 papers). Claudia Lainscsek collaborates with scholars based in United States, France and Brazil. Claudia Lainscsek's co-authors include Javier R. Movellan, Ian Fasel, Gwen Littlewort, Marian Stewart Bartlett, Mark G. Frank, Terrence J. Sejnowski, Christophe Letellier, Ferdinand Schürrer, Sydney S. Cash and Howard Poizner and has published in prestigious journals such as Physics Letters A, Neural Computation and Frontiers in Human Neuroscience.

In The Last Decade

Claudia Lainscsek

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Lainscsek United States 15 778 731 381 162 159 37 1.5k
Olaf Dimigen Germany 22 155 0.2× 285 0.4× 1.4k 3.8× 78 0.5× 85 0.5× 42 1.8k
Christoph von der Malsburg Germany 23 680 0.9× 114 0.2× 1.3k 3.3× 107 0.7× 530 3.3× 70 2.2k
Lianhong Cai China 22 651 0.8× 455 0.6× 159 0.4× 45 0.3× 742 4.7× 122 1.8k
Panagiotis Tzirakis United Kingdom 15 354 0.5× 824 1.1× 177 0.5× 30 0.2× 479 3.0× 29 1.4k
Karim Ansari-Asl Iran 15 104 0.1× 150 0.2× 484 1.3× 50 0.3× 108 0.7× 58 1.1k
Nikolaos Laskaris Greece 25 176 0.2× 113 0.2× 1.3k 3.5× 50 0.3× 169 1.1× 108 1.8k
Jeff Hawkins United States 13 205 0.3× 90 0.1× 742 1.9× 34 0.2× 633 4.0× 19 1.6k
Zhihong Zeng China 20 1.3k 1.7× 1.8k 2.5× 459 1.2× 10 0.1× 507 3.2× 82 3.1k
Enzeng Dong China 17 300 0.4× 81 0.1× 333 0.9× 431 2.7× 113 0.7× 93 1.1k
George Trigeorgis United Kingdom 13 970 1.2× 747 1.0× 158 0.4× 24 0.1× 624 3.9× 17 1.9k

Countries citing papers authored by Claudia Lainscsek

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Lainscsek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Lainscsek

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

All Works

20 of 20 papers shown
1.
Mendes, Eduardo Mazoni Andrade Marçal, et al.. (2025). An open-access EEG dataset for speech decoding: Exploring the role of articulation and coarticulation. Scientific Data. 12(1). 1017–1017.
2.
Mendes, Eduardo Mazoni Andrade Marçal, et al.. (2024). Decoding imagined speech with delay differential analysis. Frontiers in Human Neuroscience. 18. 1398065–1398065. 5 indexed citations
3.
Lainscsek, Claudia, Pariya Salami, Eduardo Mazoni Andrade Marçal Mendes, et al.. (2023). Network-motif delay differential analysis of brain activity during seizures. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(12). 6 indexed citations
4.
Mendes, Eduardo Mazoni Andrade Marçal, Claudia Lainscsek, & Christophe Letellier. (2021). Diffeomorphical equivalence vs topological equivalence among Sprott systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(8). 83126–83126. 4 indexed citations
5.
Lainscsek, Claudia, Nuttida Rungratsameetaweemana, Sydney S. Cash, & Terrence J. Sejnowski. (2019). Cortical chimera states predict epileptic seizures. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(12). 121106–121106. 36 indexed citations
6.
Sampson, Aaron L., Claudia Lainscsek, C. González, et al.. (2019). Delay differential analysis for dynamical sleep spindle detection. Journal of Neuroscience Methods. 316. 12–21. 8 indexed citations
7.
Lainscsek, Claudia, et al.. (2017). Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data. Neural Computation. 29(12). 3181–3218. 11 indexed citations
8.
Lainscsek, Claudia, et al.. (2015). Discovering independent parameters in complex dynamical systems. Chaos Solitons & Fractals. 76. 182–189. 3 indexed citations
9.
Lainscsek, Claudia, Manuel E. Hernandez, Howard Poizner, & Terrence J. Sejnowski. (2013). Multivariate spectral analysis of electroencephalography data. 93. 1151–1154. 1 indexed citations
10.
Lainscsek, Claudia, et al.. (2013). Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals. Frontiers in Neurology. 4. 200–200. 43 indexed citations
11.
Lainscsek, Claudia, et al.. (2013). Non-Linear Dynamical Classification of Short Time Series of the Rössler System in High Noise Regimes. Frontiers in Neurology. 4. 182–182. 22 indexed citations
12.
Lainscsek, Claudia. (2011). Nonuniqueness of global modeling and time scaling. Physical Review E. 84(4). 46205–46205. 14 indexed citations
13.
Bartlett, Marian Stewart, Gwen Littlewort, Mark G. Frank, et al.. (2006). Fully Automatic Facial Action Recognition in Spontaneous Behavior. 223–230. 196 indexed citations
14.
Bartlett, Marian Stewart, Gwen Littlewort, Claudia Lainscsek, Ian Fasel, & Javier R. Movellan. (2005). Machine learning methods for fully automatic recognition of facial expressions and facial actions. 1. 592–597. 98 indexed citations
15.
Lainscsek, Claudia, Christophe Letellier, & I.F. Gorodnitsky. (2003). Global modeling of the Rössler system from the z-variable. Physics Letters A. 314(5-6). 409–427. 39 indexed citations
16.
Lainscsek, Claudia & I.F. Gorodnitsky. (2003). Characterization of various fluids in cylinders from dolphin sonar data in the interval domain. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 629–632 Vol.2. 3 indexed citations
17.
Lainscsek, Claudia. (2003). Planck’s Natural Units are Contained in a Time Series. AIP conference proceedings. 676. 370–371. 1 indexed citations
18.
Lainscsek, Claudia, Christophe Letellier, & Ferdinand Schürrer. (2001). Ansatz library for global modeling with a structure selection. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(1). 16206–16206. 25 indexed citations
19.
Lainscsek, Claudia, et al.. (1998). A nine-dimensional Lorenz system to study high-dimensional chaos. Journal of Physics A Mathematical and General. 31(34). 7121–7139. 47 indexed citations
20.
Lainscsek, Claudia, Ferdinand Schürrer, & James B. Kadtke. (1998). A General Form for Global Dynamical Data Models for Three-Dimensional Systems. International Journal of Bifurcation and Chaos. 8(5). 899–914. 8 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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