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Flow Measurement and Instrumentation
H-index 15

Flow Measurement and Instrumentation

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 313 26 32 7
Engineering and Technology 647 38 51 13

Additional Metrics

Number of Best Scientists*: 89
Documents by Best Scientists*: 116
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 73
SCIMAGO SJR: 0.564
Impact Factor: 2.7

Overview

Top Research Topics at Flow Measurement and Instrumentation?

The aim of the journal is to expand the discussion of research in Mechanics, Flow measurement, Flow (psychology), Acoustics and Volumetric flow rate. The study on Mechanics presented is investigated in conjunction with research in Simulation. Calibration and Orifice plate are some topics wherein Flow measurement research discussed in Flow Measurement and Instrumentation have an impact.

The featured Orifice plate study falls within the wider topic of Body orifice. Flow Measurement and Instrumentation holds forums on Flow (psychology) that merges themes from other disciplines such as Computational fluid dynamics and Open-channel flow. The journal focuses on Acoustics research which is adjacent to topics in Signal.

Most of the works presented in it deals with Turbulence but it intersects with the subject of Optics. The Discharge coefficient study featured in Flow Measurement and Instrumentation draws parallels with the field of Weir. Flow Measurement and Instrumentation connects the study in Mass flow meter with the closely related area of Mass flow.

  • Mechanics (42.73%)
  • Flow measurement (25.12%)
  • Flow (psychology) (23.35%)

What are the most cited papers published in the journal?

  • A new electrode-mesh tomograph for gas–liquid flows (398 citations)
  • Micromachined flow sensors—a review (295 citations)
  • Tomography for multi-phase flow measurement in the oil industry (221 citations)

Research areas of the most cited articles at Flow Measurement and Instrumentation:

The journal articles focus largely on the fields of Mechanics, Flow (psychology), Flow measurement, Two-phase flow and Simulation. The most cited publications explore issues in Mechanics which can be linked to other research areas like Porosity and Optics. The journal articles explore topics in Flow measurement which can be helpful for research in disciplines like Flow (mathematics) and Orifice plate.

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

  • Mechanical engineering
  • Thermodynamics
  • Artificial intelligence

The previous edition focused in particular on these issues:

Flow Measurement and Instrumentation focuses on Mechanics, Flow (psychology), Flow measurement, Discharge coefficient and Volumetric flow rate. The work on Mechanics tackled in it brings together disciplines like Venturi effect and Nozzle. Flow (psychology) research presented in the journal encompasses a variety of subjects, including Multiphase flow, Turbulence, Computational fluid dynamics and Head (vessel).

Flow measurement research in Flow Measurement and Instrumentation involves the investigation of Calibration studies, all of which are linked to disciplines such as Measurement uncertainty. The journal facilitates discussions on Discharge coefficient that incorporate concepts from other fields like Sensitivity (control systems), Mean squared error, Weir, Orifice plate and Applied mathematics. The research on Two-phase flow tackled can also make contributions to studies in the areas of Acoustics, Phase (waves) and Flow (mathematics).

The most cited articles from the last journal are:

  • Estimation of triangular side orifice discharge coefficient under a free flow condition using data-driven models (8 citations)
  • Multi-objective reliability-based optimization for design of trapezoidal labyrinth weirs (6 citations)
  • New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks (5 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 Flow Measurement and Instrumentation (based on the number of publications) are:

  • Yong Yan (23 papers) absent at the last edition,
  • Uwe Hampel (22 papers) absent at the last edition,
  • Ali R. Vatankhah (20 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Horst-Michael Prasser (17 papers) absent at the last edition,
  • Vito Ferro (17 papers) published 3 papers at the last edition, 2 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 Flow Measurement and Instrumentation (based on the number of publications) are:

  • Tianjin University (68 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Xi'an Jiaotong University (38 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Zhejiang University (37 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Cranfield University (34 papers) absent at the last edition,
  • German National Metrology Institute (33 papers) published 4 papers at the last edition the same number as 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, 12.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.89% of all publications and 63.19% 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

  • Efficiency of Trapezoidal Labyrinth Shaped stepped spillways

    (2020)
    54 Citations
  • Predicting oil flow rate through orifice plate with robust machine learning algorithms

    Abouzar Rajabi Behesht Abad;Pezhman Soltani Tehrani;Mohammad Naveshki;Hamzeh Ghorbani

    (2021)
    37 Citations
  • Estimation of triangular side orifice discharge coefficient under a free flow condition using data-driven models

    Mehdi Jamei;Iman Ahmadianfar;Xuefeng Chu;Zaher Mundher Yaseen

    (2021)
    31 Citations
  • Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system

    Choe Earn Choong;Shaliza Ibrahim;Ahmed El-Shafie

    (2020)
    27 Citations
  • Discharge performance of plan view of multi-cycle W-form and circular arc labyrinth weir using machine learning

    (2020)
    25 Citations
  • Robust estimators for free surface turbulence characterization: a stepped spillway application

    Daniel Valero;Daniel Valero;Hubert Chanson;Daniel B. Bung

    (2020)
    23 Citations
  • On optical flow techniques applied to breaking surges

    Rui Shi;Xinqian Leng;Hubert Chanson

    (2020)
    22 Citations
  • A detailed experimental airfoil performance investigation using an equipped wind tunnel

    Siamak Hoseinzadeh;Amin Bahrami;Seyed Morteza Mirhosseini;Ali Sohani

    (2020)
    20 Citations
  • Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes

    S. Schmelter;M. Olbrich;M. Olbrich;E. Schmeyer;M. Bär

    (2020)
    17 Citations
  • Vibration-based multiphase-flow pattern classification via machine learning techniques

    (2022)
    16 Citations

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Best Scientists Contributing to This Journal