Ethan Oblak

1.4k total citations · 1 hit paper
8 papers, 830 citations indexed

About

Ethan Oblak is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ethan Oblak has authored 8 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ethan Oblak's work include Functional Brain Connectivity Studies (4 papers), Muscle activation and electromyography studies (3 papers) and Neural dynamics and brain function (3 papers). Ethan Oblak is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Muscle activation and electromyography studies (3 papers) and Neural dynamics and brain function (3 papers). Ethan Oblak collaborates with scholars based in United States, Chile and Switzerland. Ethan Oblak's co-authors include James Sulzer, Jarrod A. Lewis‐Peacock, Ranganatha Sitaram, Luke E. Stoeckel, Frank Scharnowski, Tomas Ros, Sven Haller, Mohit Rana, Maria Laura Blefari and Niels Birbaumer and has published in prestigious journals such as Nature reviews. Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Ethan Oblak

7 papers receiving 804 citations

Hit Papers

Closed-loop brain training: the science of neurofeedback 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan Oblak United States 5 677 120 117 91 88 8 830
Zübeyir Bayraktaroğlu Türkiye 13 971 1.4× 192 1.6× 49 0.4× 72 0.8× 74 0.8× 31 1.1k
Changhao Jiang China 16 318 0.5× 73 0.6× 97 0.8× 56 0.6× 38 0.4× 53 617
Maria Laura Blefari Switzerland 7 1.2k 1.7× 196 1.6× 166 1.4× 162 1.8× 163 1.9× 10 1.4k
Erin M. Yeagle United States 11 667 1.0× 245 2.0× 78 0.7× 87 1.0× 69 0.8× 15 907
Christian Gerloff Germany 11 600 0.9× 46 0.4× 37 0.3× 76 0.8× 63 0.7× 25 854
Catharina Zich United Kingdom 16 668 1.0× 190 1.6× 48 0.4× 40 0.4× 43 0.5× 37 831
David M. A. Mehler Germany 10 336 0.5× 32 0.3× 74 0.6× 91 1.0× 44 0.5× 17 524
Jean-Marie Batail France 13 313 0.5× 65 0.5× 44 0.4× 98 1.1× 54 0.6× 32 484
Amy L. Proskovec United States 20 795 1.2× 98 0.8× 61 0.5× 93 1.0× 68 0.8× 30 1.0k
D. Soneji United States 7 456 0.7× 89 0.7× 44 0.4× 69 0.8× 59 0.7× 10 800

Countries citing papers authored by Ethan Oblak

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Oblak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ethan Oblak

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

All Works

8 of 8 papers shown
1.
Oblak, Ethan, et al.. (2024). Simulated operant reflex conditioning environment reveals effects of feedback parameters. PLoS ONE. 19(3). e0300338–e0300338.
2.
Oblak, Ethan, Jarrod A. Lewis‐Peacock, & James Sulzer. (2021). Differential neural plasticity of individual fingers revealed by fMRI neurofeedback. Journal of Neurophysiology. 125(5). 1720–1734. 5 indexed citations
3.
Oblak, Ethan, et al.. (2021). Towards a common template for neural reinforcement of finger individuation. Scientific Reports. 11(1). 1065–1065. 7 indexed citations
4.
Sitaram, Ranganatha, Tomas Ros, Luke E. Stoeckel, et al.. (2019). Author Correction: Closed-loop brain training: the science of neurofeedback. Nature reviews. Neuroscience. 20(5). 314–314. 4 indexed citations
5.
Oblak, Ethan, James Sulzer, & Jarrod A. Lewis‐Peacock. (2019). A simulation-based approach to improve decoded neurofeedback performance. NeuroImage. 195. 300–310. 13 indexed citations
6.
Oblak, Ethan, Jarrod A. Lewis‐Peacock, & James Sulzer. (2017). Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment. PLoS Computational Biology. 13(7). e1005681–e1005681. 39 indexed citations
7.
Han, Chungmin, Ethan Oblak, Paul Ferrari, et al.. (2017). An MRI-compatible force sensor for measuring differential isometric precision grip force. PubMed. 2017. 791–794. 1 indexed citations
8.
Sitaram, Ranganatha, Tomas Ros, Luke E. Stoeckel, et al.. (2016). Closed-loop brain training: the science of neurofeedback. Nature reviews. Neuroscience. 18(2). 86–100. 761 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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