Physica A: Statistical Mechanics and its Applications

Physica A: Statistical Mechanics and its Applications - ISSN 0378-4371
Source Normalized Impact per Paper (SNIP): 1.197 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.64 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2.924 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 2.625 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 24
Issues: 24 issues
ISSN: 03784371

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Physica A: Statistical Mechanics and its Applications publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems, or the large scale, by studying the statistical properties of the microscopic or nanoscopic constituents. Applications of the concepts and techniques of statistical mechanics include: applications to physical and physiochemical systems such as solids, liquids and gases, interfaces, glasses, colloids, complex fluids, polymers, complex networks, applications to economic and social systems (e.g. socio-economic networks, financial time series, agent based models, systemic risk, market dynamics, computational social science, science of science, evolutionary game theory, cultural and political complexity), and traffic and transportation (e.g. vehicular traffic, pedestrian and evacuation dynamics, network traffic, swarms and other forms of collective transport in biology, models of intracellular transport, self-driven particles), as well as biological systems (biological signalling and noise, biological fluctuations, cellular systems and biophysics); and other interdisciplinary applications such as artificial intelligence (e.g. deep learning, genetic algorithms or links between theory of information and thermodynamics/statistical physics.).

Physica A does not publish research on mathematics (e.g. statistics) or mathematical methods (e.g. solving differential equations) unless an original application to a statistical physics problem is included. Also research on fluid mechanics intended for an engineering readership as well as ordinary economic/econometrical studies falls outside the scope of Physica A.

Specific subfields covered by the journal are statistical mechanics applications to:

  • Soft matter
  • Biological systems and systems biology
  • Chemical systems
  • Econophysics and sociophysics
  • Traffic and transportation
  • Phase transitions
  • Complex systems
  • Deep learning, genetic algorithms and other methods of AI

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