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chaos (woodbury, ny)

ISSN 1089-7682· EN

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36.8 / 100
Journament Score
Poor
Ranked #4,822 of 29,312 scored journals (34,012 indexed)
45 Articles
Scores higher than 83.5% 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 chaos
Abbreviated Name chaos
ISSN 1089-7682
URL http://chaos.aip.org

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 31.0 30.4
Accessibility 20.0 20.4
Timeliness 0.0 5.8
Diversity 38.9 24.4
Innovation 70.0 25.7
Community Impact 12.1 5.8
Content Distribution 78.4 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 (45)

2019
Research on complex dynamic behavior control of supply chain finance nonlinear system based on fractional differential operators.
Yang, Shenyan;Shi, Wen;Chen, Xiangjun;Leng, Kaijun;Van Nieuwenhuyse, Inneke;
Vol. 29 , No. 1 , pp. 013134
477 views DOI Abstract
2019
ChaosNet: A chaos based artificial neural network architecture for classification.
Balakrishnan, Harikrishnan Nellippallil;Kathpalia, Aditi;Saha, Snehanshu;Nagaraj, Nithin;
Vol. 29 , No. 11 , pp. 113125
465 views DOI Abstract
2019
Adaptive chaotic MIMO radar based on DPMM clustering and Kalman filtering technique.
Yao, Yu;Li, Zeqing;Zhao, Junhui;Wu, Lenan;
Vol. 29 , No. 11 , pp. 113104
463 views DOI Abstract
2019
Classification of close binary stars using recurrence networks.
George, Sandip V;Misra, R;Ambika, G;
Vol. 29 , No. 11 , pp. 113112
457 views DOI Abstract
2018
The complexity-entropy causality plane based on multiscale power spectrum entropy of financial time series.
Zhang, Yali;Shang, Pengjian;
Vol. 28 , No. 12 , pp. 123120
439 views DOI Abstract
2019
A chaos to chaos control approach for controlling the chaotic dynamical systems using Hamilton energy feedback and fuzzy-logic system.
Reza Ahrabi, Atike;Kobravi, Hamid Reza;
Vol. 29 , No. 7 , pp. 073113
430 views DOI Abstract
2019
The β Fermi-Pasta-Ulam-Tsingou recurrence problem.
Pace, Salvatore D;Reiss, Kevin A;Campbell, David K;
Vol. 29 , No. 11 , pp. 113107
428 views DOI Abstract
2019
On the dynamics of a simplified canonical Chua's oscillator with smooth hyperbolic sine nonlinearity: Hyperchaos, multistability and multistability control.
Fonzin Fozin, T;Megavarna Ezhilarasu, P;Njitacke Tabekoueng, Z;Leutcho, G D;Kengne, J;Thamilmaran, K;Mezatio, A B;Pelap, F B;
Vol. 29 , No. 11 , pp. 113105
410 views DOI Abstract
2019
Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing.
Cunillera, A;Soriano, M C;Fischer, I;
Vol. 29 , No. 11 , pp. 113113
409 views DOI Abstract
2019
Machine learning algorithms for predicting the amplitude of chaotic laser pulses.
Amil, Pablo;Soriano, Miguel C;Masoller, Cristina;
Vol. 29 , No. 11 , pp. 113111
402 views DOI Abstract
2020
Using networks and partial differential equations to forecast bitcoin price movement.
Wang, Yufang;Wang, Haiyan;
Vol. 30 , No. 7 , pp. 073127
290 views DOI Abstract
2020
Long-range dependence, multi-fractality and volume-return causality of Ether market.
Han, Qing;Wu, Jiajing;Zheng, Zibin;
Vol. 30 , No. 1 , pp. 011101
328 views DOI Abstract
2020
Competition of noise and collectivity in global cryptocurrency trading: Route to a self-contained market.
Drożdż, Stanisław;Minati, Ludovico;Oświȩcimka, Paweł;Stanuszek, Marek;Wa Torek, Marcin;
Vol. 30 , No. 2 , pp. 023122
324 views DOI Abstract
2019
Fractional gray Lotka-Volterra models with application to cryptocurrencies adoption.
Gatabazi, P;Mba, J C;Pindza, E;
Vol. 29 , No. 7 , pp. 073116
378 views DOI Abstract
2019
ChaosNet: A chaos based artificial neural network architecture for classification.
Balakrishnan, Harikrishnan Nellippallil;Kathpalia, Aditi;Saha, Snehanshu;Nagaraj, Nithin;
Vol. 29 , No. 11 , pp. 113125
465 views DOI Abstract
2019
Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing.
Cunillera, A;Soriano, M C;Fischer, I;
Vol. 29 , No. 11 , pp. 113113
409 views DOI Abstract
2019
Memory effects on binary choices with impulsive agents: Bistability and a new BCB structure.
Gardini, L;Dal Forno, A;Merlone, U;
Vol. 29 , No. 12 , pp. 123133
375 views DOI Abstract
2019
On learning Hamiltonian systems from data.
Bertalan, Tom;Dietrich, Felix;Mezić, Igor;Kevrekidis, Ioannis G;
Vol. 29 , No. 12 , pp. 121107
328 views DOI Abstract
2019
Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.
Seleznev, Aleksei;Mukhin, Dmitry;Gavrilov, Andrey;Loskutov, Evgeny;Feigin, Alexander;
Vol. 29 , No. 12 , pp. 123115
334 views DOI Abstract
2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies.
Strnad, Felix M;Barfuss, Wolfram;Donges, Jonathan F;Heitzig, Jobst;
Vol. 29 , No. 12 , pp. 123122
305 views DOI Abstract
Journament Score
36.8/100 · Poor
Ranked #4,822 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

36.8/100

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

31.0/100

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

38.9/100

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

12.1/100

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

78.4/100

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.