István Ulbert

13.6k total citations · 2 hit papers
160 papers, 9.1k citations indexed

About

István Ulbert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, István Ulbert has authored 160 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Cognitive Neuroscience, 113 papers in Cellular and Molecular Neuroscience and 29 papers in Electrical and Electronic Engineering. Recurrent topics in István Ulbert's work include Neural dynamics and brain function (107 papers), Neuroscience and Neural Engineering (82 papers) and EEG and Brain-Computer Interfaces (52 papers). István Ulbert is often cited by papers focused on Neural dynamics and brain function (107 papers), Neuroscience and Neural Engineering (82 papers) and EEG and Brain-Computer Interfaces (52 papers). István Ulbert collaborates with scholars based in Hungary, United States and Germany. István Ulbert's co-authors include George Karmos, Péter Lakatos, Charles M. Schroeder, Ashesh D. Mehta, Anna Devor, Anders M. Dale, Kevin H. Knuth, Ankoor S. Shah, Eric Halgren and David A. Boas and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

István Ulbert

156 papers receiving 9.0k citations

Hit Papers

Entrainment of Neuronal Oscillations as a Mechanism of At... 2005 2026 2012 2019 2008 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
István Ulbert Hungary 46 7.4k 3.8k 1.0k 770 685 160 9.1k
Thilo Womelsdorf Canada 38 8.4k 1.1× 2.7k 0.7× 775 0.7× 1.1k 1.4× 287 0.4× 82 9.4k
Jan‐Mathijs Schoffelen Netherlands 45 16.1k 2.2× 3.1k 0.8× 1.7k 1.7× 901 1.2× 386 0.6× 102 17.8k
Ashesh D. Mehta United States 47 6.7k 0.9× 1.7k 0.4× 1.0k 1.0× 585 0.8× 238 0.3× 105 8.7k
J. Matias Palva Finland 48 8.0k 1.1× 1.8k 0.5× 646 0.6× 487 0.6× 189 0.3× 98 9.2k
Tirin Moore United States 41 7.3k 1.0× 1.5k 0.4× 601 0.6× 210 0.3× 575 0.8× 101 8.5k
Thomas Thesen United States 35 3.4k 0.5× 1.3k 0.3× 765 0.7× 526 0.7× 345 0.5× 107 4.8k
M Augath Germany 29 7.4k 1.0× 1.7k 0.5× 892 0.9× 2.4k 3.1× 172 0.3× 65 9.0k
Ranulfo Romo Mexico 57 10.7k 1.4× 4.1k 1.1× 1.1k 1.0× 170 0.2× 646 0.9× 154 12.8k
Joni D. Wallis United States 40 7.6k 1.0× 1.9k 0.5× 717 0.7× 223 0.3× 227 0.3× 63 8.6k
Werner Doyle United States 42 3.9k 0.5× 2.1k 0.6× 399 0.4× 563 0.7× 444 0.6× 136 6.7k

Countries citing papers authored by István Ulbert

Since Specialization
Citations

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

Fields of papers citing papers by István Ulbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Ulbert

This figure shows the co-authorship network connecting the top 25 collaborators of István Ulbert. A scholar is included among the top collaborators of István Ulbert 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 István Ulbert. István Ulbert 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.
Dücső, Csaba, Kinga Tóth, István Ulbert, et al.. (2025). On the longevity and inherent hermeticity of silicon-ICs: evaluation of bare-die and PDMS-coated ICs after accelerated aging and implantation studies. Nature Communications. 16(1). 12–12. 8 indexed citations
2.
Bourdillon, Pierre, Liankun Ren, Mila Halgren, et al.. (2024). Differential cortical layer engagement during seizure initiation and spread in humans. Nature Communications. 15(1). 5153–5153. 4 indexed citations
3.
Pászthy, Bea, et al.. (2023). Concurrent and Prospective Associations of Reward Response with Affective and Alcohol Problems: ADHD-Related Differential Vulnerability. Journal of Youth and Adolescence. 52(9). 1856–1872. 3 indexed citations
4.
Ulbert, István, et al.. (2023). Edge computing on TPU for brain implant signal analysis. Neural Networks. 162. 212–224. 5 indexed citations
6.
Pászthy, Bea, et al.. (2022). Reliability of reward ERPs in middle‐late adolescents using a custom and a standardized preprocessing pipeline. Psychophysiology. 59(8). e14043–e14043. 6 indexed citations
7.
Fiáth, Richárd, et al.. (2021). ELVISort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution. Journal of Neural Engineering. 18(4). 46033–46033. 8 indexed citations
8.
Ujma, Péter P., Róbert Bódizs, Ferenc Gombos, et al.. (2020). The laminar profile of sleep spindles in humans. NeuroImage. 226. 117587–117587. 13 indexed citations
9.
Marek, T., et al.. (2020). Optimization aspects of electrodeposition of photoluminescent conductive polymer layer onto neural microelectrode arrays. Materials Chemistry and Physics. 260. 124163–124163. 2 indexed citations
10.
Leszczyński, Marcin, Annamaria Barczak, Yoshinao Kajikawa, et al.. (2020). Dissociation of broadband high-frequency activity and neuronal firing in the neocortex. Science Advances. 6(33). eabb0977–eabb0977. 97 indexed citations
12.
13.
Fiáth, Richárd, et al.. (2019). Spike detection and sorting with deep learning. Journal of Neural Engineering. 17(1). 16038–16038. 52 indexed citations
14.
Fiáth, Richárd, et al.. (2019). A silicon-based spiky probe providing improved cell accessibility during in vitro slice recordings. Sensors and Actuators B Chemical. 297. 126649–126649. 2 indexed citations
15.
Halgren, Mila, István Ulbert, Hélène Bastuji, et al.. (2019). The generation and propagation of the human alpha rhythm. Proceedings of the National Academy of Sciences. 116(47). 23772–23782. 243 indexed citations
16.
Halgren, Mila, Dániel Fabó, István Ulbert, et al.. (2018). Superficial Slow Rhythms Integrate Cortical Processing in Humans. Scientific Reports. 8(1). 2055–2055. 44 indexed citations
17.
Hangya, Balázs, László Entz, Dániel Fabó, et al.. (2011). Complex Propagation Patterns Characterize Human Cortical Activity during Slow-Wave Sleep. Journal of Neuroscience. 31(24). 8770–8779. 29 indexed citations
18.
Stefanics, Gábor, Balázs Hangya, István Hernádi, et al.. (2010). Phase Entrainment of Human Delta Oscillations Can Mediate the Effects of Expectation on Reaction Speed. Journal of Neuroscience. 30(41). 13578–13585. 307 indexed citations
19.
Cash, Sydney S., Eric Halgren, Nima Dehghani, et al.. (2009). The Human K-Complex Represents an Isolated Cortical Down-State. Science. 324(5930). 1084–1087. 272 indexed citations
20.
Devor, Anna, István Ulbert, Andrew K. Dunn, et al.. (2005). Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity. Proceedings of the National Academy of Sciences. 102(10). 3822–3827. 175 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026