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frontiers in neuroinformatics

ISSN 1662-5196· EN

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44.1/100
Journament Score
#405
Journament Rank
5
Articles Indexed

About This Journal

Short Name front neuroinform
Abbreviated Name front neuroinform
ISSN 1662-5196
URL http://www.frontiersin.org/neuroinformatics

Indexings

scopus ncbi doaj ulakbim sci

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Publications Per Year

Articles (5)

2018
Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset of an animal model and human patients
Duncan, D.
Vol. 12 , pp. 0-0
353 views DOI
2017
Your Brain on the Movies: A Computational Approach for Predicting Box-office Performance from Viewer’s Brain Responses to Movie Trailers
Christoforou, Christoforos;Christoforou, Christoforos;Papadopoulos, Timothy C.;Papadopoulos, Timothy C.;Constantinidou, Fofi;Constantinidou, Fofi;Theodorou, Maria;
Vol. 11 , pp. -
341 views Abstract
2019
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model.
Fan, Shengyu;Bian, Yueyan;Chen, Hao;Kang, Yan;Yang, Qi;Tan, Tao;
Vol. 13 , pp. 77
332 views DOI Abstract
2018
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings.
Toutounji, Hazem;Durstewitz, Daniel;
Vol. 12 , pp. 67
279 views DOI Abstract
2019
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Eslami, T.
Vol. 13 , pp. 0-0
276 views DOI
2019
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model.
Fan, Shengyu;Bian, Yueyan;Chen, Hao;Kang, Yan;Yang, Qi;Tan, Tao;
Vol. 13 , pp. 77
332 views DOI Abstract
2019
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Eslami, T.
Vol. 13 , pp. 0-0
276 views DOI
2018
Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset of an animal model and human patients
Duncan, D.
Vol. 12 , pp. 0-0
353 views DOI
2018
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings.
Toutounji, Hazem;Durstewitz, Daniel;
Vol. 12 , pp. 67
279 views DOI Abstract
2017
Your Brain on the Movies: A Computational Approach for Predicting Box-office Performance from Viewer’s Brain Responses to Movie Trailers
Christoforou, Christoforos;Christoforou, Christoforos;Papadopoulos, Timothy C.;Papadopoulos, Timothy C.;Constantinidou, Fofi;Constantinidou, Fofi;Theodorou, Maria;
Vol. 11 , pp. -
341 views Abstract
44
Overall
Below Average
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35
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34
50
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Journament

Overall Quality Score

44.1/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.3/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

35.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

30.0/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

40.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

34.0/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

50.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Ethics & Transparency Score

0.0/100

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

0.0/100

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

0.0/100

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

0.0/100

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

0.0/100

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.