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Experiments in Fluids
H-index 26

Experiments in Fluids

0723-4864

Published by: Springer

https://www.springer.com/journal/348

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 105 116 276 21
Engineering and Technology 440 56 77 18
Materials Science 523 18 24 11

Additional Metrics

Number of Best Scientists*: 220
Documents by Best Scientists*: 384
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 148
SCIMAGO SJR: 0.754
Impact Factor: 2.5

Overview

Top Research Topics at Experiments in Fluids?

The journal is mainly concerned with subjects like Mechanics, Optics, Turbulence, Particle image velocimetry and Reynolds number. Mechanics research discussed connects with the study of Classical mechanics. In the journal, Particle tracking velocimetry, Flow visualization and Image processing are investigated in conjunction with one another to address concerns in Optics research.

The research on Turbulence tackled can also make contributions to studies in the areas of Laminar flow and Shear stress. The work on Particle image velocimetry tackled in it brings together disciplines like Flow (mathematics), Image resolution, Acoustics, Algorithm and Vector field. Research on Reynolds number addressed in it frequently intersections with the field of Flow separation.

Wake and Vortex shedding are some topics wherein Vortex research discussed in it have an impact. The study on Boundary layer featured in the journal expounds on the topic of Boundary layer thickness in particular. Many of the studies tackled connect Jet (fluid) with a similar field of study like Nozzle.

  • Mechanics (56.99%)
  • Optics (42.86%)
  • Turbulence (27.97%)

What are the most cited papers published in the journal?

  • Digital Particle Image Velocimetry (1694 citations)
  • A particle image velocimetry system for microfluidics (974 citations)
  • Twenty years of particle image velocimetry (923 citations)

Research areas of the most cited articles at Experiments in Fluids:

The most cited papers primarily focus on research topics in Optics, Mechanics, Particle image velocimetry, Turbulence and Reynolds number. The journal papers explore research in Optics alongside concepts in Wake and other areas of study in Cylinder. The most cited papers connects the study in Mechanics with the closely related areas of Classical mechanics.

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

  • Quantum mechanics
  • Optics
  • Thermodynamics

The previous edition focused in particular on these issues:

Experiments in Fluids facilitates discussions on Mechanics, Turbulence, Reynolds number, Flow (psychology) and Particle image velocimetry. Experiments in Fluids aims to address concerns in Mechanics, specifically in the areas of Vortex, Jet (fluid), Mach number, Boundary layer and Wake. The close relationship between Computational physics and Velocimetry is one of the points of interest dissected in Turbulence research.

The presented Reynolds number research focuses mostly on Airfoil and, on occasion, topics in Angle of attack and Aerodynamics. In addition to Flow (psychology) research, it aims to explore topics under Drag, Schlieren and Bubble. The journal focused on Particle image velocimetry research but expanded to cover Vector field.

The most cited articles from the last journal are:

  • Characteristic unsteady pressure field on a civil aircraft wing related to the onset of transonic buffet (4 citations)
  • Feasibility of skin-friction field measurements in a transonic wind tunnel using a global luminescent oil film (4 citations)
  • Unsteady lift on a high-amplitude pitching aerofoil (4 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 Experiments in Fluids (based on the number of publications) are:

  • R. A. Antonia (76 papers) absent at the last edition,
  • Fulvio Scarano (63 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Julio Soria (40 papers) published 2 papers at the last edition,
  • Jerry Westerweel (39 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • John K. Eaton (39 papers) published 1 paper at the last edition, 2 less 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 Experiments in Fluids (based on the number of publications) are:

  • Delft University of Technology (173 papers) published 11 papers at the last edition, 1 more than at the previous edition,
  • Centre national de la recherche scientifique (136 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • German Aerospace Center (112 papers) published 13 papers at the last edition, 3 more than at the previous edition,
  • Stanford University (111 papers) absent at the last edition,
  • Imperial College London (110 papers) published 1 paper at the last edition, 4 less 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, 11.16% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.43% of all publications and 53.62% 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

  • Superhydrophobic drag reduction in turbulent flows: a critical review

    Hyungmin Park;Chang-Hwan Choi;Chang-Jin Kim;Chang-Jin Kim

    (2021)
    120 Citations
  • Fast pressure-sensitive paint for understanding complex flows: from regular to harsh environments

    Di Peng;Yingzheng Liu

    (2020)
    83 Citations
  • Two-phase flow regime identification based on the liquid-phase velocity information and machine learning

    (2020)
    68 Citations
  • An experimental framework to capture the flow dynamics of droplets expelled by a sneeze

    Prateek Bahl;Charitha M de Silva;Abrar Ahmad Chughtai;C Raina MacIntyre

    (2020)
    66 Citations
  • Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry measurements

    Xiaowei Jin;Shujin Laima;Wen-Li Chen;Hui Li

    (2020)
    46 Citations
  • Effect of Mach number on droplet aerobreakup in shear stripping regime

    Zhaoguang Wang;Thomas Hopfes;Marcus Giglmaier;Nikolaus A. Adams

    (2020)
    44 Citations
  • Suppressing tip-leakage vortex cavitation by overhanging grooves

    Huaiyu Cheng;Huaiyu Cheng;Xinping Long;Bin Ji;Xiaoxing Peng

    (2020)
    44 Citations
  • Single-pixel resolution velocity/convection velocity field of a supersonic jet measured by particle/schlieren image velocimetry

    Yuta Ozawa;Takuma Ibuki;Taku Nonomura;Taku Nonomura;Kento Suzuki

    (2020)
    38 Citations

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Best Scientists Contributing to This Journal