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International Journal of Heat and Fluid Flow
H-index 22

International Journal of Heat and Fluid Flow

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 122 122 213 19
Engineering and Technology 544 68 88 15

Additional Metrics

Number of Best Scientists*: 232
Documents by Best Scientists*: 322
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 131
SCIMAGO SJR: 0.7
Impact Factor: 3.1

Overview

Top Research Topics at International Journal of Heat and Fluid Flow?

The journal covers a variety of subjects, including Mechanics, Turbulence, Heat transfer, Thermodynamics and Reynolds number. It focuses on Mechanics as well as the interrelated topic of Classical mechanics. In it, Reynolds-averaged Navier–Stokes equations, Turbulence modeling, K-epsilon turbulence model and Flow separation are investigated in conjunction with one another to address concerns in Classical mechanics research.

Reynolds stress, Turbulence kinetic energy, Direct numerical simulation, Large eddy simulation and Pipe flow are all subfields of Turbulence research that were featured in International Journal of Heat and Fluid Flow. The work on Heat transfer tackled in it brings together disciplines like Nusselt number and Convection. Natural convection, Forced convection, Prandtl number, Film temperature and Combined forced and natural convection are all aspects of Thermodynamics discussed in the journal.

Flow (mathematics), Open-channel flow, Optics, Particle image velocimetry and Jet (fluid) are some topics wherein Reynolds number research discussed in International Journal of Heat and Fluid Flow have an impact. The concepts on Vortex presented in International Journal of Heat and Fluid Flow can also apply to other research fields, including Wake and Vortex shedding. Boundary layer research is concerned with Boundary layer thickness in particular.

  • Mechanics (77.76%)
  • Turbulence (39.43%)
  • Heat transfer (26.57%)

What are the most cited papers published in the journal?

  • Heat transfer enhancement of nanofluids (1830 citations)
  • Numerical study of natural convection in partially heated rectangular enclosures filled with nanofluids (1390 citations)
  • A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities (1084 citations)

Research areas of the most cited articles at International Journal of Heat and Fluid Flow:

The most cited articles investigate areas of study like Mechanics, Turbulence, Thermodynamics, Heat transfer and Reynolds number. Most of the works presented in the published papers deal with Mechanics but they intersect with the subject of Classical mechanics. The published articles hold forums on Reynolds number that merge themes from other disciplines such as Fluid dynamics, Jet (fluid), Optics and Turbulence kinetic energy.

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

  • Quantum mechanics
  • Thermodynamics
  • Mechanical engineering

The previous edition focused in particular on these issues:

International Journal of Heat and Fluid Flow primarily focuses on research topics in Mechanics, Turbulence, Reynolds number, Flow (psychology) and Vortex. The presentations discussing Mechanics offer insights in topics such as Direct numerical simulation, Heat transfer, Flow (mathematics), Jet (fluid) and Turbulence kinetic energy. While work presented in the journal provided substantial information on Heat transfer, it also covered topics in Nusselt number, Heat exchanger and Convection.

Turbulence research presented in it encompasses a variety of subjects, including Vorticity and Boundary layer. The presented Reynolds number research provided insight into the related

  • Instability which is related to area like Plane (geometry),
  • Computational fluid dynamics which connect with Large eddy simulation,
  • Drag and related Pipe flow.. It tackles studies in Core (optical fiber) and the interrelated subject of Nozzle to gain insights into Flow (psychology).

The most cited articles from the last journal are:

  • Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence (12 citations)
  • The wake flow downstream of a propeller-rudder system (5 citations)
  • Assessment of the validity of a log-law for wall-bounded turbulent bubbly flows (3 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 International Journal of Heat and Fluid Flow (based on the number of publications) are:

  • Hyung Jin Sung (46 papers) absent at the last edition,
  • Brian Launder (32 papers) absent at the last edition,
  • Adrian Bejan (26 papers) absent at the last edition,
  • Suad Jakirlić (25 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Takashi Hibiki (25 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 International Journal of Heat and Fluid Flow (based on the number of publications) are:

  • University of Manchester (95 papers) absent at the last edition,
  • Delft University of Technology (69 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Imperial College London (69 papers) published 1 paper at the last edition the same number as at the previous edition,
  • KAIST (68 papers) absent at the last edition,
  • Purdue University (46 papers) absent 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 2021 edition, 7.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.99% of all publications and 55.70% 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

  • Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

    Hamidreza Eivazi;Luca Guastoni;Luca Guastoni;Philipp Schlatter;Philipp Schlatter;Hossein Azizpour;Hossein Azizpour

    (2021)
    62 Citations
  • State estimation in minimal turbulent channel flow: A comparative study of 4DVar and PINN

    (2022)
    46 Citations
  • Investigations on the effect of rotational speed on the transport of air-water two-phase flows by centrifugal pumps

    (2022)
    45 Citations
  • Evaluation of variable rotation on enhancing thermal performance of phase change heat storage tank

    (2024)
    40 Citations
  • Wakes of elliptical cylinders at low Reynolds number

    (2020)
    40 Citations
  • Numerical analysis of the flow pattern in convergent vortex tubes for cyclone cooling applications

    Florian Seibold;Bernhard Weigand

    (2021)
    34 Citations
  • An iterative machine-learning framework for RANS turbulence modeling

    Weishuo Liu;Jian Fang;Stefano Rolfo;Charles Moulinec

    (2021)
    33 Citations
  • Experimental and numerical study on flow characteristics and heat transfer of an oscillating jet in a channel

    Shabnam Mohammadshahi;Hadi Samsam-Khayani;Tao Cai;Kyung Chun Kim

    (2020)
    31 Citations
  • Impact of vacuum degree on the aerodynamics of a high-speed train capsule running in a tube

    Yang Sui;Jiqiang Niu;Pierre Ricco;Yanping Yuan

    (2021)
    31 Citations
  • RANS simulations for transition and turbulent flow regimes in wire-wrapped rod bundles

    Octavio Bovati;Mustafa Alper Yildiz;Yassin Hassan;Rodolfo Vaghetto

    (2021)
    30 Citations

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Best Scientists Contributing to This Journal