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ISH Journal of Hydraulic Engineering
H-index 9

ISH Journal of Hydraulic Engineering

0971-5010

Published by: Taylor & Francis

https://www.tandfonline.com/toc/tish20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 988 9 13 8

Additional Metrics

Number of Best Scientists*: 19
Documents by Best Scientists*: 30
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 29
SCIMAGO SJR: 0.392
Impact Factor: N/A

Overview

Top Research Topics at ISH Journal of Hydraulic Engineering?

The discussions in ISH Journal of Hydraulic Engineering mainly cover the fields of Hydrology, Geotechnical engineering, Mechanics, Flow (psychology) and Sediment. Research on Hydrology addressed in it frequently intersections with the field of Structural basin. Issues in Geotechnical engineering were discussed, taking into consideration concepts from other disciplines like Bed load, Froude number, Pier and Shear stress.

The presentations focused mostly on Pier in an attempt to further explore topics in Structural engineering. Mechanics study tackled is connected to the field of Communication channel. It links adjacent topics like Discharge coefficient with Weir.

  • Hydrology (23.77%)
  • Geotechnical engineering (23.66%)
  • Mechanics (18.20%)

What are the most cited papers published in the journal?

  • RAINFALL—RUNOFF MODELLING USING ARTIFICIAL NEURAL NETWORKS (55 citations)
  • Prediction of unsaturated hydraulic conductivity using adaptive neuro- fuzzy inference system (ANFIS) (45 citations)
  • Prediction of head loss on cascade weir using ANN and SVM (37 citations)

Research areas of the most cited articles at ISH Journal of Hydraulic Engineering:

The journal articles generally zeroe in on subjects such as Artificial neural network, Hydrology, Artificial intelligence, Mechanics and Support vector machine. Issues in Hydrology were discussed in the published papers, taking into consideration concepts from other disciplines like Silt and Feed forward back propagation. The published articles about Flow (psychology) are all disciplines of Mechanics that connect with topics in Water flow.

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

  • Statistics
  • Mechanics
  • Thermodynamics

The previous edition focused in particular on these issues:

The main research concerns discussed in ISH Journal of Hydraulic Engineering are Hydrology, Mechanics, Sediment, Irrigation and Flow (psychology). Hydrology research featured in it incorporates concerns from various other topics such as Structural basin and Deposition (chemistry). ISH Journal of Hydraulic Engineering addresses concerns in Mechanics which are intertwined with other disciplines, such as Distribution (mathematics) and Boundary (topology).

It facilitates discussions on Irrigation that incorporate concepts from other fields like Hydraulic efficiency, Agricultural engineering and Water resource management. The Flow (psychology) works featured in the journal incorporate elements from Distribution networks, Computational fluid dynamics and Computer simulation. Research in Dissipation and the interrelating topic of Geotechnical engineering were among the subjects of interest in the Marine engineering studies discussed in ISH Journal of Hydraulic Engineering.

The most cited articles from the last journal are:

  • Estimation of models for cumulative infiltration of soil using machine learning methods (20 citations)
  • Evaluation of reference evapotranspiration methods and sensitivity analysis of climatic parameters for sub-humid sub-tropical locations in western Himalayas (India) (14 citations)
  • Evaluation of two irrigation scheduling methodologies for potato (Solanum tuberosum L.) in north-western mid-hills of India (8 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 ISH Journal of Hydraulic Engineering (based on the number of publications) are:

  • Kishanjit Kumar Khatua (22 papers) published 3 papers at the last edition,
  • Prem Lal Patel (22 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Jalal Shiri (14 papers) absent at the last edition,
  • Nayan Sharma (14 papers) published 1 paper at the last edition,
  • C. S. P. Ojha (13 papers) published 1 paper at the last edition the same number as 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 ISH Journal of Hydraulic Engineering (based on the number of publications) are:

  • Indian Institute of Technology Roorkee (91 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Central Water and Power Research Station (51 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Indian Institute of Technology Bombay (47 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Sardar Vallabhbhai National Institute of Technology, Surat (31 papers) published 3 papers at the last edition, 4 less than at the previous edition,
  • National Institute of Technology, Karnataka (28 papers) published 3 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, 6.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.97% of all publications and 25.86% 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

  • Evaluation of the support vector machine, random forest and geo-statistical methodologies for predicting long-term air temperature

    Sahar Mohsenzadeh Karimi;Ozgur Kisi;Mohammad Porrajabali;Fatemeh Rouhani-Nia

    (2020)
    35 Citations
  • Design of water supply system from rivers using artificial intelligence to model water hammer

    Amirhossein Salimi;Hojat Karami;Saeed Farzin;Mohammadreza Hassanvand

    (2020)
    33 Citations
  • Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach

    Naser Shiri;Jalal Shiri;Vahid Nourani;Sepideh Karimi

    (2020)
    18 Citations
  • Adaptive neuro-fuzzy interface system based performance monitoring technique for hydropower plants

    (2022)
    13 Citations
  • Prediction of groundwater level variations in coastal aquifers with tide and rainfall effects using heuristic data driven models

    Jalal Shiri;Ozgur Kisi;Heesung Yoon;Mohammad Hossein Kazemi

    (2020)
    13 Citations
  • Air–water flow properties in hydraulic jumps on rough pebbled bed

    (2022)
    10 Citations
  • Investigation of a new shock damper system efficiency in reducing water hammer excess pressure due to the sudden closure of a control valve

    Mohammad Bostan;Ali Akbar Akhtari;Hossein Bonakdari;Bahram Gharabaghi

    (2020)
    9 Citations
  • More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique

    Hossein Bonakdari;Hossein Bonakdari;Amir Hossein Zaji;Bahram Gharabaghi;Isa Ebtehaj

    (2020)
    9 Citations
  • Selection of best wavelet functions and decomposition levels for coupling with soft computing methods in estimating ETo in coastal and island regions

    (2024)
    3 Citations
  • Reply to discussion of ‘Study of the spatial distribution of groundwater quality using soft computing and geostatistical models’ by Reza Barati

    Saman Maroufpoor;Jalal Shiri

    (2020)
    1 Citations

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Best Scientists Contributing to This Journal