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Brain-Computer Interfaces Template

Write in a clean editor, then format for Brain-Computer Interfaces in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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About the Brain-Computer Interfaces format

Brain-Computer Interfaces is a peer-reviewed journal published by Taylor & Francis, covering EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural dynamics and brain function.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Brain-Computer Interfaces 12 (3): 45–58.

Formats any DOI in Brain-Computer Interfaces style. No sign-up.

Publishes research inEEG and Brain-Computer Interfaces Neuroscience and Neural Engineering Neural dynamics and brain function Advanced Memory and Neural Computing Gaze Tracking and Assistive Technology
ISSN2326-2621
Citation impact (2-yr)1.95
h-index31
i10-index99
Total citations4,193
Top institutions publishing hereUniversity of Washington
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Brain-Computer Interfaces per year

9
2008
20
2014
19
2015
23
2016
19
2017
11
2018
14
2019
10
2020
18
2021
15
2022
9
2023
36
2024

Citation impact of Brain-Computer Interfaces by publication year

14
2008
949
2014
598
2015
633
2016
964
2017
167
2018
225
2019
135
2020
149
2021
166
2022
74
2023
83
2024

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Brain-Computer Interfaces

Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

Marco Congedo, Alexandre Barachant, Rajendra Bhatia · 27 Mar 2017

Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI) decoding is currently attracting increasing attention, due to accumulating documentation of its simplicity, accuracy, robustness and transfer learning capabilities, including the winning score obtained in five recent international predictive modeling BCI data competitions. The Riemannian framework is sharp from a mathematical perspective,…

437 citations Cite SaveGo to paper →
A high-ITR SSVEP-based BCI speller

Xiaogang Chen, Zhikai Chen, Shangkai Gao et al. · 15 Sep 2014

Spelling is an important application of brain-computer interfaces (BCIs). Previous BCI spellers were not suited for widespread use due to their low information transfer rate (ITR). In this study, we constructed a high-ITR BCI speller based on the steady-state visual evoked potential (SSVEP). A 45-target BCI speller was implemented with a frequency resolution of 0.2…

295 citations Cite SaveGo to paper →
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

Christian Mühl, Brendan Z. Allison, Anton Nijholt et al. · 3 Apr 2014

Affective states, moods and emotions, are an integral part of human nature: they shape our thoughts, govern the behavior of the individual, and influence our interpersonal relationships. The last decades have seen a growing interest in the automatic detection of such states from voice, facial expression, and physiological signals, primarily with the goal of enhancing…

277 citations Cite SaveGo to paper →
BNCI Horizon 2020: towards a roadmap for the BCI community

Clemens Brunner, Niels Birbaumer, Benjamin Blankertz et al. · 2 Jan 2015

The brain-computer interface (BCI) field has grown dramatically over the past few years, but there are still no coordinated efforts to ensure efficient communication and collaboration among key stakeholders. The European Commission (EC) has recently renewed their efforts to establish such a coordination effort by funding a coordination and support action for the BCI community…

214 citations Cite SaveGo to paper →
Brain-computer interface-based control of closed-loop brain stimulation: attitudes and ethical considerations

Eran Klein, Sara Goering, Josh Gagne et al. · 2 Jul 2016

Patients who have undergone deep brain stimulation (DBS) for emerging indications have unique perspectives on ethical challenges that may shape trial design and identify key design features for BCI-driven DBS systems. DBS research in cognitive and emotional disorders has generated significant ethical interest. Much of this work has focused on developing ethical guidelines and recommendations…

141 citations Cite SaveGo to paper →

Brain-Computer Interfaces template — frequently asked questions

How do I write a paper in the Brain-Computer Interfaces format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Brain-Computer Interfaces template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Brain-Computer Interfaces use?
Brain-Computer Interfaces uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Brain-Computer Interfaces 12 (3): 45–58.
Do I need to know LaTeX to submit to Brain-Computer Interfaces?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Brain-Computer Interfaces document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Brain-Computer Interfaces template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Brain-Computer Interfaces format with correct headings, figures, tables, and author–year citations.
Who publishes Brain-Computer Interfaces?
Brain-Computer Interfaces is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Brain-Computer Interfaces template matches Taylor & Francis's official submission format.
Can I export a submission-ready Brain-Computer Interfaces PDF?
Yes — DocuGuru produces a PDF built with the official Brain-Computer Interfaces template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Brain-Computer Interfaces template cost?
You can start writing in the Brain-Computer Interfaces template for free. Exporting the final submission-ready Brain-Computer Interfaces PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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