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ieee transactions on visualization and computer graphics

ISSN 1941-0506· EN

Journal Website Certificate of Indexing
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38.7 / 100
Journament Score
Poor
Ranked #5,154 of 29,324 scored journals (34,008 indexed)
32 Articles
Scores higher than 82.4% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

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

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.5 30.4
Accessibility 20.0 19.1
Timeliness 0.0 9.2
Diversity 51.9 25.8
Innovation 70.0 27.4
Community Impact 17.1 7.8
Content Distribution 74.0 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (32)

2019
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling.
Khayat, Mosab;Karimzadeh, Morteza;Zhao, Jieqiong;Ebert, David S;
496 views DOI Abstract
2019
Shallow Sand Equations: Real-Time Height Field Simulation of Dry Granular Flows.
Zhu, Kuixin;He, Xiaowei;Li, Sheng;Wang, Hongan;Wang, Guoping;
496 views DOI Abstract
2019
Perceptual-aware Sketch Simplification Based on Integrated VGG Layers.
Xu, Xuemiao;Xie, Minshan;Miao, Peiqi;Qu, Wei;Xiao, Wenpeng;Zhang, Huaidong;Liu, Xueting;Wong, Tien-Tsin;
448 views DOI Abstract
2020
sPortfolio: Stratified Visual Analysis of Stock Portfolios.
Yue, Xuanwu;Bai, Jiaxin;Liu, Qinhan;Tang, Yiyang;Puri, Abishek;Li, Ke;Qu, Huamin;
Vol. 26 , No. 1 , pp. 601-610
418 views DOI Abstract
2019
ProtoSteer: Steering Deep Sequence Model with Prototypes.
Ming, Yao;Xu, Panpan;Cheng, Furui;Qu, Huamin;Ren, Liu;
413 views DOI Abstract
2020
Why Authors Don't Visualize Uncertainty.
Hullman, Jessica;
Vol. 26 , No. 1 , pp. 130-139
403 views DOI Abstract
2016
ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor.
Stitz, Holger;Gratzl, Samuel;Aigner, Wolfgang;Streit, Marc;
Vol. 22 , No. 12 , pp. 2594-2607
395 views DOI Abstract
2019
FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera.
Xu, Lan;Cheng, Wei;Guo, Kaiwen;Han, Lei;Liu, Yebin;Fang, Lu;
368 views DOI Abstract
2020
Data by Proxy - Material Traces as Autographic Visualizations.
Offenhuber, Dietmar;
Vol. 26 , No. 1 , pp. 98-108
356 views DOI Abstract
2019
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.
Liu, Shusen;Anirudh, Rushil;Thiagarajan, Jayaraman J;Jacobs, Sam Ade;Essen, Brian C Van;Hysom, David;Yeom, Jae-Seung;Gaffney, Jim;Peterson, Luc;Robinson, Peter B;Bhatia, Harsh;Spears, Brian K;Bremer, Peer-Timo;Wang, Di;Maljovec, Dan;Pascucci, Valerio;
352 views DOI Abstract
2020
Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles.
Neto, Mario Popolin;Paulovich, Fernando V;
Vol. PP
309 views DOI Abstract
2020
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines.
Ono, Jorge Piazentin;Castelo, Sonia;Lopez, Roque;Bertini, Enrico;Freire, Juliana;Silva, Claudio;
Vol. PP
321 views DOI Abstract
2020
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks.
Park, Heungseok;Nam, Yoonsoo;Kim, Ji-Hoon;Choo, Jaegul;
Vol. PP
320 views DOI Abstract
2020
Visual Analytics for Temporal Hypergraph Model Exploration.
Fischer, Maximilian T;Arya, Devanshu;Streeb, Dirk;Seebacher, Daniel;Keim, Daniel A;Worring, Marcel;
Vol. PP
313 views DOI Abstract
2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models.
Wang, Qianwen;Alexander, William;Pegg, Jack;Qu, Huamin;Chen, Min;
Vol. PP
293 views DOI Abstract
2020
Visual Analysis of Discrimination in Machine Learning.
Wang, Qianwen;Xu, Zhenhua;Chen, Zhutian;Wang, Yong;Liu, Shixia;Qu, Huamin;
Vol. PP
322 views DOI Abstract
2020
Immersive Process Model Exploration in Virtual Reality.
Zenner, Andre;Makhsadov, Akhmajon;Klingner, Soren;Liebemann, David;Kroger, Antonio;
300 views DOI Abstract
2020
Decoding a Complex Visualization in a Science Museum - An Empirical Study.
Ma, Joyce;Ma, Kwan-Liu;Frazier, Jennifer;
Vol. 26 , No. 1 , pp. 472-481
301 views DOI Abstract
2020
Why Authors Don't Visualize Uncertainty.
Hullman, Jessica;
Vol. 26 , No. 1 , pp. 130-139
403 views DOI Abstract
2020
Data by Proxy - Material Traces as Autographic Visualizations.
Offenhuber, Dietmar;
Vol. 26 , No. 1 , pp. 98-108
356 views DOI Abstract
Journament Score
38.7/100 · Poor
Ranked #5,154 of 29,324 scored
(34,008 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

38.7/100

Tier: Poor

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

30.5/100

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

20.0/100

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

51.9/100

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

70.0/100

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

17.1/100

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

0.0/100

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

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

Content Distribution

74.0/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

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

Not yet measured

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

Not yet measured

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

Not yet measured

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

Not yet measured

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.