Physica A Statistical Mechanics and its Applications Template
Write in a clean editor, then format for Physica A Statistical Mechanics and its Applications in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Physica A Statistical Mechanics and its Applications format
Physica A Statistical Mechanics and its Applications is a peer-reviewed journal published by Elsevier, covering Theoretical and Computational Physics, Complex Systems and Time Series Analysis, Complex Network Analysis Techniques.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Physica A Statistical Mechanics and its Applications 12 (2023) 45–58.
Formats any DOI in Physica A Statistical Mechanics and its Applications style. No sign-up. |
| Publishes research in | Theoretical and Computational Physics Complex Systems and Time Series Analysis Complex Network Analysis Techniques Advanced Thermodynamics and Statistical Mechanics Opinion Dynamics and Social Influence |
| ISSN | 0378-4371 |
| Citation impact (2-yr) | 2.88 |
| h-index | 235 |
| i10-index | 16,021 |
| Total citations | 733,029 |
| Article processing charge | $3,320 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Physica A Statistical Mechanics and its Applications per year
Citation impact of Physica A Statistical Mechanics and its Applications by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Physica A Statistical Mechanics and its Applications
Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available display scale-free features. Here we study the scaling properties of the recently introduced scale-free model, that can…