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Manuscript Auditing →01Impact factor
Impact factor of Frontiers in Signal Processing (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Signal Processing published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q3Engineering, Electrical & Electronicrank 216 of 382 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$2,353.
02Indexing
Indexing of Frontiers in Signal Processing
- eISSN
- 2673-8198
- Publisher
- Frontiers Media SA
- Country
- Switzerland
- Scopus source type
- Journal
- Web of Science categories
- Engineering, Electrical & Electronic
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Frontiers in Signal Processing publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Frontiers in Signal Processing
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Convergence analysis of hyperparameter-free MCC-based channel estimation for mmWave MIMO systems20260 citations
- A graph generation pipeline for critical infrastructures based on heuristics, images and depth data20260 citations
- Unraveling cardiac arrhythmia frequency: comparative analysis using time and frequency domain algorithms20260 citations
- Generic speech enhancement with self-supervised representation space loss20250 citations
- A computational approach for prediction of exons using static encoding methods, digital filter and windowing technique20250 citations
- Reinforcement learning, rule-based, or generative AI: a comparison of model-free Wi-Fi slicing approaches20250 citations
- Improving aerial target detection for 3D radar based on a two-stage CFAR method with adaptive clutter distribution estimation20250 citations
- Correlation of precipitable water vapor and heavy rainfall over Cyprus using GNSS sensors network20250 citations
- Evaluating CPU, GPU, and FPGA performance in the context of modal reverberation: a comparative analysis20250 citations
- Water vapor density field estimation using commercial microwave link attenuation combined with temperature measurements20250 citations
- ASG-MammoNet: an attention-guided framework for streamlined and interpretable breast cancer classification from mammograms20250 citations
- Reimagining speech: a scoping review of deep learning-based methods for non-parallel voice conversion20240 citations
- A survey on Bayesian nonparametric learning for time series analysis20240 citations
- Child face recognition at scale: Synthetic data generation and performance benchmark20240 citations
- The performance of domain-based feature extraction on EEG, ECG, and fNIRS for Huntington's disease diagnosis via shallow machine learning20240 citations
- Physiological signal processing for wellness20240 citations
- Precision sketching with de-aging networks in forensics20240 citations
- Comparative study of time-frequency transformation methods for ECG signal classification20240 citations
- An integrated framework for multi-granular explanation of video summarization20240 citations
- A review of differentiable digital signal processing for music and speech synthesis20240 citations
- Synthetic data generation techniques for training deep acoustic siren identification networks20240 citations
- Bounds for Haralick features in synthetic images with sinusoidal gradients20230 citations
- Spread spectrum modulation recognition based on phase diagram entropy20230 citations
- Recent trends in multimedia forensics and visual content verification20230 citations
- Editor's challenge—image processing20230 citations
- Feature extraction and deep learning for digital pathology images20230 citations
- Perceptual video quality assessment: The journey continues!20230 citations
- Mret: Multi-resolution transformer for video quality assessment20230 citations
- A multilevel dynamic model for documenting, reactivating and preserving interactive multimedia art20230 citations
- An investigation of the multi-dimensional (1D vs. 2D vs. 3D) analyses of EEG signals using traditional methods and deep learning-based methods20220 citations
- Performance evaluation of automatic speech recognition systems on integrated noise-network distorted speech20220 citations
- PancreaSYS: an automated Cloud-Based pancreatic cancer grading system20220 citations
- Crlbs for location and velocity estimation for mimo radars in ces-distributed clutter20220 citations
- Road users classification based on bi-frame micro-Doppler with 24-GHz FMCW radar20220 citations
- Automated discrimination of cough in audio recordings: A scoping review20220 citations
- Beamspace ESPRIT for mmWave channel sensing: Performance analysis and beamformer design20220 citations
- Spatiotemporal features fusion from local facial regions for micro-expressions recognition20220 citations
- Multimodal detection of typical absence seizures in home environment with wearable electrodes20220 citations
- A deep-learning based framework for source separation, analysis, and synthesis of choral ensembles20220 citations
- An eyes-based siamese neural network for the detection of gan-generated face images20220 citations
- Imagined speech classification using six phonetically distributed words20220 citations
- A very fast copy-move forgery detection method for 4K ultra HD images20220 citations
- Constant-beamwidth kronecker product beamforming with nonuniform planar arrays20220 citations
- Static: Low frequency energy harvesting and power transfer for the internet of things20220 citations
- Music demixing challenge 202120220 citations
- A Tutorial on Bandit Learning and Its Applications in 5G Mobile Edge Computing (Invited Paper)20220 citations
- Learning resource allocation in active-passive radar sensor networks20220 citations
- On the relative importance of visual and spatial audio rendering on VR immersion20220 citations
- AIDA: an active inference-based design agent for audio processing algorithms20220 citations
- Prediction of treatment response in triple negative breast cancer from whole slide images20220 citations
- Compressive sensing-based secure uplink grant-free systems20220 citations
- CW Doppler radar as occupancy sensor: A comparison of different detection strategies20220 citations
- Women in signal processing20220 citations
- An overview of the MPEG standard for storage and transport of visual volumetric video-based coding20220 citations
- Video fingerprinting: Past, present, and future20220 citations
- Grand challenges in signal processing for communications20210 citations
- Multi-frequency radar micro-doppler based classification of micro-drone payload weight20210 citations
- EKF-and UKF-based estimators for radar system20210 citations
- New measures of heart rate variability based on subband tachogram complexity and spectral characteristics for improved stress and anxiety monitoring in highly …20210 citations
- Deep Learning-Based Object Tracking via Compressed Domain Residual Frames20210 citations
- Precoded cluster hopping for multibeam GEO satellite communication systems20210 citations
- A robust improved network for facial expression recognition20200 citations
- CIFAR-10 image classification based on convolutional neural network20200 citations
- Neural networks for financial market risk classification20170 citations
05Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Signal Processing
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Frontiers in Signal Processing, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
06Similar journals
Journals similar to Frontiers in Signal Processing
Journals that publish the closest work to the papers above, from the indexing lists:
- International Journal of Electrical and Computer EngineeringScopus6 similar papers
- SustainabilitySCIESSCIScopusJCR 20243 similar papers
- International Journal of Computing and Digital SystemsScopus3 similar papers
- Frontiers in NeuroscienceSCIEScopusJCR 202412 similar papers
- PLoS ONESCIEScopusJCR 202426 similar papers
- Frontiers in Human NeuroscienceSCIEScopusJCR 20244 similar papers
07Journal Finder
Find the right journal for your paper
Is Frontiers in Signal Processing right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of Frontiers in Signal Processing?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Signal Processing is 2.53: papers it published in the two previous years were cited 2.53 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Frontiers in Signal Processing?
The h-index of Frontiers in Signal Processing is 21 (OpenAlex, October 2026): 21 of its papers have each been cited at least 21 times. Its i10-index is 50.
What is the APC of Frontiers in Signal Processing?
OpenAlex lists an article processing charge (APC) of about US$2,353 for Frontiers in Signal Processing, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Signal Processing a Q3 journal?
By 2-year citedness, Frontiers in Signal Processing ranks 216 of 382 journals in Engineering, Electrical & Electronic, which places it in Q3 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Signal Processing indexed in Scopus?
Yes. Frontiers in Signal Processing appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Signal Processing an SCIE journal?
Frontiers in Signal Processing is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Signal Processing in Journal Citation Reports (JCR)?
Yes. Frontiers in Signal Processing is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Frontiers in Signal Processing publish?
The papers published in Frontiers in Signal Processing that we track most often mention image, network, radar, classification, system, method. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Signal Processing does ScholarsColab track?
We track 64 papers published in Frontiers in Signal Processing between 2017 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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