Indexed in Journament

ieee transactions on visualization and computer graphics

ISSN 1941-0506· EN

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42.0/100
Journament Score
#3,684
Journament Rank
32
Articles Indexed

About This Journal

Short Name ieee trans vis comput graph
Abbreviated Name ieee trans vis comput graph
ISSN 1941-0506
URL http://ieeexplore.ieee.org/servlet/opac?punumber=2945

Indexings

scopus ncbi ulakbim sci

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Publications Per Year

Articles (32)

2019
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling.
451 views DOI Abstract
2019
Shallow Sand Equations: Real-Time Height Field Simulation of Dry Granular Flows.
445 views DOI Abstract
2019
Perceptual-aware Sketch Simplification Based on Integrated VGG Layers.
422 views DOI Abstract
2020
sPortfolio: Stratified Visual Analysis of Stock Portfolios.
Vol. 26 , No. 1 , pp. 601-610
391 views DOI Abstract
2019
ProtoSteer: Steering Deep Sequence Model with Prototypes.
385 views DOI Abstract
2020
Why Authors Don't Visualize Uncertainty.
Vol. 26 , No. 1 , pp. 130-139
375 views DOI Abstract
2016
ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor.
Vol. 22 , No. 12 , pp. 2594-2607
368 views DOI Abstract
2019
FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera.
352 views DOI Abstract
2019
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.
335 views DOI Abstract
2020
Data by Proxy - Material Traces as Autographic Visualizations.
Vol. 26 , No. 1 , pp. 98-108
330 views DOI Abstract
2020
2020
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines.
Vol. PP
292 views DOI Abstract
2020
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks.
Vol. PP
293 views DOI Abstract
2020
Visual Analytics for Temporal Hypergraph Model Exploration.
Vol. PP
291 views DOI Abstract
2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models.
Vol. PP
257 views DOI Abstract
2020
Visual Analysis of Discrimination in Machine Learning.
Vol. PP
280 views DOI Abstract
2020
Immersive Process Model Exploration in Virtual Reality.
249 views DOI Abstract
2020
Decoding a Complex Visualization in a Science Museum - An Empirical Study.
Vol. 26 , No. 1 , pp. 472-481
267 views DOI Abstract
2020
Why Authors Don't Visualize Uncertainty.
Vol. 26 , No. 1 , pp. 130-139
375 views DOI Abstract
2020
Data by Proxy - Material Traces as Autographic Visualizations.
Vol. 26 , No. 1 , pp. 98-108
330 views DOI Abstract
42
Overall
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Overall Quality Score

42.0/100

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

30.4/100

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

37.5/100

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.