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Annual Review of Fluid Mechanics
H-index 38

Annual Review of Fluid Mechanics

0066-4189

Published by: Annual Reviews

https://www.annualreviews.org/journal/fluid

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 94 40 39 23

Additional Metrics

Number of Best Scientists*: 90
Documents by Best Scientists*: 77
Top 100 Ranked Scientists*: 4
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: 30.2

Overview

Top Research Topics at Annual Review of Fluid Mechanics?

The primary areas of discussion in Annual Review of Fluid Mechanics are Mechanics, Turbulence, Classical mechanics, Fluid mechanics and Meteorology. The work on Mechanics addressed in it expands to the thematically related Thermodynamics. It explores topics in Turbulence which can be helpful for research in disciplines like Statistical physics and Instability.

In the journal, Vortex and Nonlinear system are investigated in conjunction with one another to address concerns in Classical mechanics research. Vortex research presented is mostly focused on the subject of Vorticity. Flow separation is the primary subject of Boundary layer works presented in it.

  • Mechanics (36.97%)
  • Turbulence (22.03%)
  • Classical mechanics (18.33%)

What are the most cited papers published in the journal?

  • LATTICE BOLTZMANN METHOD FOR FLUID FLOWS (5381 citations)
  • ENGINEERING FLOWS IN SMALL DEVICES (2684 citations)
  • Particle-Imaging Techniques for Experimental Fluid Mechanics (2679 citations)

Research areas of the most cited articles at Annual Review of Fluid Mechanics:

The published papers aim to foster the development of research in Mechanics, Turbulence, Classical mechanics, Statistical physics and Fluid mechanics. The Mechanics research presented in the published articles focuses mostly on Optics and, on occasion, topics in Nonlinear system. The studies tackled in the published articles, which mainly focus on Turbulence, apply to Boundary layer as well.

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

  • Quantum mechanics
  • Thermodynamics
  • Mechanics

The previous edition focused in particular on these issues:

The journal investigates areas of study like Mechanics, Turbulence, Flow (psychology), Aerospace engineering and Particle. Aside from investigating topics in Drag under Mechanics, the journal also explores concepts in Range (statistics). In addition to Turbulence research, the journal aims to explore topics under Surface gravity, Capillary wave and Wind wave.

While work presented in the journal provided substantial information on Flow (psychology), it also covered topics in Drop (liquid), Fouling, Composite number, Composite material and Stage (hydrology).

The most cited articles from the last journal are:

  • Experiments in Surface Gravity–Capillary Wave Turbulence (1 citations)
  • Fluid Dynamics of Axial Turbomachinery: Blade- and Stage-Level Simulations and Models (0 citations)
  • Flood Inundation Prediction (0 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 Annual Review of Fluid Mechanics (based on the number of publications) are:

  • John L. Lumley (9 papers) absent at the last edition,
  • Helen L. Reed (6 papers) absent at the last edition,
  • Katepalli R. Sreenivasan (4 papers) absent at the last edition,
  • Charles H. K. Williamson (4 papers) absent at the last edition,
  • William S. Saric (4 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 Annual Review of Fluid Mechanics (based on the number of publications) are:

  • Massachusetts Institute of Technology (17 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of Cambridge (11 papers) absent at the last edition,
  • Stanford University (10 papers) absent at the last edition,
  • University of California, San Diego (9 papers) absent at the last edition,
  • Max Planck Society (8 papers) published 1 paper at the last 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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 40.00% of all publications and 10.00% 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

  • Machine Learning for Fluid Mechanics

    Steven L. Brunton;Bernd R. Noack;Bernd R. Noack;Petros Koumoutsakos

    (2020)
    2641 Citations
  • Dynamic Mode Decomposition and Its Variants

    Peter J. Schmid

    (2022)
    527 Citations
  • Particle-Laden Turbulence: Progress and Perspectives

    Luca Brandt;Luca Brandt;Filippo Coletti

    (2022)
    349 Citations
  • Immersed Methods for Fluid-Structure Interaction.

    Boyce E. Griffith;Neelesh A. Patankar

    (2020)
    303 Citations
  • Predicting the Drag of Rough Surfaces

    Daniel Chung;Nicholas Hutchins;Michael P. Schultz;Karen A. Flack

    (2021)
    289 Citations
  • Numerical Methods for Viscoelastic Fluid Flows

    M.A. Alves;P.J. Oliveira;F.T. Pinho

    (2021)
    259 Citations
  • From Bypass Transition to Flow Control and Data-Driven Turbulence Modeling: An Input–Output Viewpoint

    Mihailo R. Jovanović

    (2021)
    205 Citations
  • Patterns in Wall-Bounded Shear Flows

    Laurette S. Tuckerman;Matthew Chantry;Dwight Barkley

    (2020)
    112 Citations
  • Statistical Properties of Subgrid-Scale Turbulence Models

    Robert D. Moser;Sigfried W. Haering;Gopal R. Yalla

    (2021)
    100 Citations
  • Particles, Drops, and Bubbles Moving Across Sharp Interfaces and Stratified Layers

    Jacques Magnaudet;Matthieu J. Mercier

    (2020)
    89 Citations

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Best Scientists Contributing to This Journal