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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
H-index 55

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

1364-503X

Published by: The Royal Society

https://royalsocietypublishing.org/journal/rsta

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 121 61 74 16
Physics 127 57 72 15
Engineering and Technology 239 109 138 28

Additional Metrics

Number of Best Scientists*: 911
Documents by Best Scientists*: 766
Top 100 Ranked Scientists*: 43
SCIMAGO H-index: 204
SCIMAGO SJR: 1.027
Impact Factor: 3.7

Overview

Top Research Topics at Philosophical Transactions of the Royal Society A?

The journal covers a variety of subjects, including Mechanics, Nanotechnology, Classical mechanics, Optics and Astrophysics. Studies on Astrophysics discussed in Philosophical Transactions of the Royal Society A link to the field of Astronomy.

  • Mechanics (7.13%)
  • Nanotechnology (5.26%)
  • Classical mechanics (5.26%)

What are the most cited papers published in the journal?

  • The Phenomena of Rupture and Flow in Solids (7890 citations)
  • Colours in Metal Glasses and in Metallic Films (3314 citations)
  • On Certain Integrals of Lipschitz-Hankel Type Involving Products of Bessel Functions (2482 citations)

Research areas of the most cited articles at Philosophical Transactions of the Royal Society A:

The most cited publications explore disciplines such as Mechanics, Nanotechnology, Meteorology, Classical mechanics and Mathematical analysis. Specifically, studies on Turbulence are prevalent in the Mechanics works discussed in the journal publications.

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

  • Quantum mechanics
  • World War II
  • Artificial intelligence

The previous edition focused in particular on these issues:

Philosophical Transactions of the Royal Society A mostly deals with topics like Artificial intelligence, Mechanics, Nonlinear system, Fracture (geology) and Optics. The journal focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning, Weather and climate and Computer vision. The journal explores topics in Nonlinear system which can be helpful for research in disciplines like Stochastic resonance and Statistical physics, Stochastic resonance (sensory neurobiology).

Philosophical Transactions of the Royal Society A focuses on Optics as well as the interrelated topic of Structured illumination microscopy.

The most cited articles from the last journal are:

  • Time-series forecasting with deep learning: a survey. (23 citations)
  • Physics-informed machine learning: case studies for weather and climate modelling. (21 citations)
  • Combining data assimilation and machine learning to infer unresolved scale parametrization (21 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 Philosophical Transactions of the Royal Society A (based on the number of publications) are:

  • Bharat Bhushan (49 papers) absent at the last edition,
  • Peter V. Coveney (47 papers) published 4 papers at the last edition,
  • Dmitri V. Alexandrov (25 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Peter Kohl (17 papers) absent at the last edition,
  • Sauro Succi (16 papers) published 3 papers at the last edition, 1 more than at the previous 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 Philosophical Transactions of the Royal Society A (based on the number of publications) are:

  • University of Cambridge (521 papers) published 9 papers at the last edition, 9 less than at the previous edition,
  • University of Oxford (374 papers) published 15 papers at the last edition, 4 less than at the previous edition,
  • University College London (301 papers) published 14 papers at the last edition, 9 more than at the previous edition,
  • Imperial College London (286 papers) published 14 papers at the last edition, 2 less than at the previous edition,
  • University of Manchester (163 papers) published 8 papers at the last edition, 3 more than 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, 5.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.92% of all publications and 47.16% 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

  • Physics-informed machine learning: case studies for weather and climate modelling.

    K. Kashinath;M. Mustafa;A. Albert;J. L. Wu;J. L. Wu

    (2021)
    556 Citations
  • A chronology of global air quality

    David Fowler;Peter Brimblecombe;John Burrows;Mathew R Heal

    (2020)
    251 Citations
  • Cold atoms meet lattice gauge theory

    (2021)
    239 Citations
  • Combining data assimilation and machine learning to infer unresolved scale parametrization

    Julien Brajard;Alberto Carrassi;Marc Bocquet;Laurent Bertino

    (2021)
    174 Citations
  • Exascale applications: skin in the game.

    Francis Alexander;Ann Almgren;John Bell;Amitava Bhattacharjee

    (2020)
    113 Citations
  • Creation and application of virtual patient cohorts of heart models

    S. A. Niederer;Y. Aboelkassem;C. D. Cantwell;C. Corrado

    (2020)
    93 Citations
  • Prospective sensitivities of atom interferometers to gravitational waves and ultralight dark matter

    (2021)
    92 Citations
  • A review on the theory of stable dendritic growth

    Dmitri V. Alexandrov;Peter K. Galenko

    (2021)
    79 Citations
  • Impact of collision models on the physical properties and the stability of lattice Boltzmann methods

    C Coreixas;G Wissocq;B Chopard;J Latt

    (2020)
    56 Citations

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Best Scientists Contributing to This Journal

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