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Frontiers in Computer Science is a peer-reviewed journal published by Frontiers, covering Virtual Reality Applications and Impacts, Innovative Human-Technology Interaction, AI in Service Interactions. Over its lifetime it has published 1,109 papers, which have received 12,510 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Computer Science, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Computer Science style. No sign-up. |
| Publishes research in | Virtual Reality Applications and Impacts Innovative Human-Technology Interaction AI in Service Interactions Emotion and Mood Recognition Network Security and Intrusion Detection |
| ISSN | 2624-9898 |
| Citation impact (2-yr) | 4.03 |
| h-index | 47 |
| i10-index | 299 |
| Article processing charge | $1,150 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Delft University of Technology |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With the significant growth of internet usage, people increasingly share their personal information online. As a result, an enormous amount of personal information and financial transactions become vulnerable to cybercriminals. Phishing is an example of a highly effective form of cybercrime that enables criminals to deceive users and steal important data. Since the first reported…
A growing number of students are now opting for online classes. They find the traditional classroom modality restrictive, inflexible, and impractical. In this age of technological advancement, schools can now provide effective classroom teaching via the Web. This shift in pedagogical medium is forcing academic institutions to rethink how they want to deliver their course…
We present LABKIT, a user-friendly Fiji plugin for the segmentation of microscopy image data. It offers easy to use manual and automated image segmentation routines that can be rapidly applied to single- and multi-channel images as well as to timelapse movies in 2D or 3D. LABKIT is specifically designed to work efficiently on big image…
Our subjective visual experiences involve complex interaction between our eyes, our brain, and the surrounding world. It gives us the sense of sight, color, stereopsis, distance, pattern recognition, motor coordination, and more. The increasing ubiquity of gaze-aware technology brings with it the ability to track gaze and pupil measures with varying degrees of fidelity. With…
Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in connectomics research is developing scalable image analysis algorithms that require minimal user intervention. Deep learning has provided exceptional performance in image classification tasks in computer vision, leading to…
