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Chaos, Solitons and Fractals
H-index 93

Chaos, Solitons and Fractals

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 1 164 643 77

Additional Metrics

Number of Best Scientists*: 682
Documents by Best Scientists*: 1643
Top 100 Ranked Scientists*: 32
SCIMAGO H-index: 175
SCIMAGO SJR: 1.184
Impact Factor: 5.6

Overview

Top Research Topics at Chaos Solitons & Fractals?

Chaos Solitons & Fractals investigates studies in Mathematical analysis, Control theory, Chaotic, Nonlinear system and Applied mathematics. Chaos Solitons & Fractals focuses on Mathematical analysis but the discussions also offer insight into other areas such as Soliton and Bifurcation. The concepts on Control theory presented in the journal can also apply to other research fields, including Synchronization (computer science), Synchronization of chaos, Synchronization and Stability (probability).

In it, Statistical physics, Attractor and Classical mechanics are investigated in conjunction with one another to address concerns in Chaotic research. Fractional calculus is a key component of Applied mathematics research discussed in the journal. Fractal dimension is a major topic of Fractal research.

  • Mathematical analysis (22.30%)
  • Control theory (17.46%)
  • Chaotic (15.05%)

What are the most cited papers published in the journal?

  • A symmetric image encryption scheme based on 3D chaotic cat maps (1606 citations)
  • Exp-function method for nonlinear wave equations (1407 citations)
  • Application of homotopy perturbation method to nonlinear wave equations (1023 citations)

Research areas of the most cited articles at Chaos Solitons & Fractals:

The most cited articles focus on Control theory, Mathematical analysis, Chaotic, Nonlinear system and Applied mathematics. In addition to Control theory research, the published articles aim to explore topics under Synchronization (computer science), Synchronization of chaos, Synchronization and Artificial neural network. In addition to Mathematical analysis research, the journal publications aim to explore topics under Korteweg–de Vries equation and Soliton.

What topics the last edition of the journal is best known for?

  • Quantum mechanics
  • Mathematical analysis
  • Statistics

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Applied mathematics, Nonlinear system, Chaotic, Stability (probability) and Fractional calculus. Some problems in Applied mathematics that were presented in Chaos Solitons & Fractals overlapped with concepts under Equilibrium point, Differential equation, Convergence (routing), Lyapunov function and Uniqueness. The in-depth study on Nonlinear system also explores topics in the intersecting field of Mathematical analysis.

While Chaotic is the focus of Chaos Solitons & Fractals, it also provided insights into the studies of Statistical physics, Attractor and Bifurcation. Control theory is the primary subject of Control theory works presented in Chaos Solitons & Fractals.

The most cited articles from the last journal are:

  • Applications of artificial intelligence in battling against covid-19: A literature review. (42 citations)
  • A theoretical study of the Caputo-Fabrizio fractional modeling for hearing loss due to Mumps virus with optimal control (38 citations)
  • CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images. (34 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Chaos Solitons & Fractals (based on the number of publications) are:

  • M.S. El Naschie (216 papers) absent at the last edition,
  • Guanrong Chen (70 papers) absent at the last edition,
  • M.S. El Naschie (64 papers) absent at the last edition,
  • Xiaofeng Liao (45 papers) absent at the last edition,
  • Hongqing Zhang (42 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Chaos Solitons & Fractals (based on the number of publications) are:

  • Dalian University of Technology (155 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Chinese Academy of Sciences (150 papers) published 2 papers at the last edition, 5 less than at the previous edition,
  • City University of Hong Kong (132 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Shanghai University (130 papers) absent at the last edition,
  • Shanghai Jiao Tong University (130 papers) published 4 papers at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 7.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.36% of all publications and 75.61% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan.

    Faïçal Ndaïrou;Faïçal Ndaïrou;Iván Area;Juan J. Nieto;Delfim F.M. Torres

    (2020)
    774 Citations
  • A new study on the mathematical modelling of human liver with Caputo–Fabrizio fractional derivative

    Dumitru Baleanu;Amin Jajarmi;Hakimeh Mohammadi;Shahram Rezapour;Shahram Rezapour

    (2020)
    726 Citations
  • Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?

    Abdon Atangana;Abdon Atangana

    (2020)
    467 Citations
  • Modeling and forecasting the COVID-19 pandemic in India

    Kankan Sarkar;Subhas Khajanchi;Juan J. Nieto

    (2020)
    442 Citations
  • A mathematical model for COVID-19 transmission by using the Caputo fractional derivative

    Nguyen Huy Tuan;Hakimeh Mohammadi;Shahram Rezapour;Shahram Rezapour;Shahram Rezapour

    (2020)
    413 Citations
  • A theoretical study of the Caputo-Fabrizio fractional modeling for hearing loss due to Mumps virus with optimal control

    Hakimeh Mohammadi;Sunil Kumar;Shahram Rezapour;Shahram Rezapour;Sina Etemad

    (2021)
    368 Citations
  • A study of behaviour for immune and tumor cells in immunogenetic tumour model with non-singular fractional derivative

    Behzad Ghanbari;Behzad Ghanbari;Sunil Kumar;Ranbir Kumar

    (2020)
    340 Citations
  • Chaotic behaviour of fractional predator-prey dynamical system

    Sunil Kumar;Ranbir Kumar;Carlo Cattani;Bessem Samet

    (2020)
    287 Citations
  • Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study

    (2020)
    260 Citations
  • A new study of unreported cases of 2019-nCOV epidemic outbreaks

    Wei Gao;P. Veeresha;Haci Mehmet Baskonus;D. G. Prakasha

    (2020)
    214 Citations

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