0378-4371
Published by: Elsevier
https://www.journals.elsevier.com/physica-a-statistical-mechanics-and-its-applications
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Physics | 192 | 17 | 39 | 9 |
Physica A-statistical Mechanics and Its Applications was organized to reinforce research efforts on Statistical physics, Condensed matter physics, Mathematical analysis, Econometrics and Classical mechanics. Physica A-statistical Mechanics and Its Applications explores topics in Statistical physics which can be helpful for research in disciplines like Monte Carlo method and Scaling. Quantum mechanics and Phase diagram are some topics wherein Condensed matter physics research discussed in the journal have an impact.
Topics in Econometrics were tackled in line with various other fields like Stock (geology) and Stock market.
The main points discussed in the most cited publications deal with Statistical physics, Econometrics, Complex network, Mathematical analysis and Classical mechanics. In addition to Statistical physics research, the journal articles aim to explore topics under Phase transition, Statistics and Scaling. The most cited articles with studies in Complex network featured incorporate elements of Data mining and Topology.
The journal mainly deals with areas of study such as Statistical physics, Control theory, Traffic flow, Condensed matter physics and Econometrics. The research on Statistical physics tackled can also make contributions to studies in the areas of Poisson distribution, Random matrix, Variable (mathematics) and Brownian motion. The presented Control theory research focuses mostly on Stability (probability) and, on occasion, topics in Nonlinear system.
Aside from discussions in Condensed matter physics, the journal also deals with the subject of Ground state which intersects with Ising model disciplines. It focuses on Econometrics but the discussions also offer insight into other areas such as Stock (geology) and Correlation. In particular, the Stock (geology) works presented emphasize discussions on Stock market index.
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 Physica A-statistical Mechanics and Its Applications (based on the number of publications) are:
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 Physica A-statistical Mechanics and Its Applications (based on the number of publications) are:
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.
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 2022 edition, 14.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.46% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.46% of all publications and 71.64% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Fabian Baumann;Igor M. Sokolov;Melvyn Tyloo
(2020)Lin Chen;Qian Han;Zhilin Qiao;H. Eugene Stanley
(2020)YanLi Gao;YanLi Gao;ShiMing Chen;Jie Zhou;H.E. Stanley
(2021)Yan Tian;Yan Tian;Tao Yu;Gui-Tian He;Lin-Feng Zhong
(2020)Yan Tian;Yan Tian;Guitian He;Zhibin Liu;Linfeng Zhong
(2021)Moritz Hoferer;Lucas Böttcher;Hans J. Herrmann;Hans Gersbach
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