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Journal of Hydroinformatics
H-index 18

Journal of Hydroinformatics

1464-7141

Published by: IWA Publishing

http://www.iwaponline.com/jh/default.htm

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 433 17 19 7
Environmental Sciences 494 25 29 10
Engineering and Technology 519 39 72 16

Additional Metrics

Number of Best Scientists*: 103
Documents by Best Scientists*: 138
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 65
SCIMAGO SJR: 0.543
Impact Factor: N/A

Overview

Top Research Topics at Journal of Hydroinformatics?

The scientific interests tackled in Journal of Hydroinformatics are Mathematical optimization, Hydrology, Artificial neural network, Data mining and Artificial intelligence. The study on Mathematical optimization presented in it intersects with subjects under the field of Algorithm. Presentations on Hydrology include those discussing Surface runoff and Water quality.

The study on Water quality presented is investigated in conjunction with research in Environmental engineering. Artificial intelligence study tackled is connected to the field of Machine learning.

  • Mathematical optimization (16.29%)
  • Hydrology (13.19%)
  • Artificial neural network (10.17%)

What are the most cited papers published in the journal?

  • Data-driven modelling: some past experiences and new approaches (331 citations)
  • OpenMI: Open modelling interface (293 citations)
  • A symbolic data-driven technique based on evolutionary polynomial regression (271 citations)

Research areas of the most cited articles at Journal of Hydroinformatics:

The most cited articles focus largely on the fields of Mathematical optimization, Artificial neural network, Artificial intelligence, Hydrology and Data mining. The most cited articles facilitate discussions on Mathematical optimization that incorporate concepts from other fields like Calibration (statistics), Algorithm and Set (abstract data type). The works on Artificial intelligence tackled in the most cited articles bring together disciplines like Machine learning, Nonlinear system and Pattern recognition.

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

  • Statistics
  • Artificial intelligence
  • Machine learning

The previous edition focused in particular on these issues:

The concepts of Hydrology, Groundwater, Remote sensing, Mechanics and Mathematical optimization are tackled in Journal of Hydroinformatics. It is focused mainly on Hydrology, particularly Drainage basin. The journal explores research in Remote sensing and the adjacent study of Calibration (statistics).

The study on Mechanics presented in it intersects with the topics under Transient (oscillation).

The most cited articles from the last journal are:

  • An ethical decision-making framework with serious gaming: a smart water case study on flooding (7 citations)
  • Capturing high-resolution water demand data in commercial buildings (5 citations)
  • Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning (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 Journal of Hydroinformatics (based on the number of publications) are:

  • Dragan Savic (32 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Orazio Giustolisi (24 papers) absent at the last edition,
  • Kiyoumars Roushangar (17 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Zoran Kapelan (15 papers) published 1 paper at the last edition,
  • Dimitri Solomatine (15 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 Journal of Hydroinformatics (based on the number of publications) are:

  • University of Exeter (48 papers) published 4 papers at the last edition the same number as at the previous edition,
  • UNESCO-IHE Institute for Water Education (39 papers) absent at the last edition,
  • University of Tabriz (34 papers) published 9 papers at the last edition, 6 more than at the previous edition,
  • Delft University of Technology (32 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Hohai University (25 papers) published 3 papers at the last edition, 3 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, 5.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.81% of all publications and 56.76% 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

  • Riprap incipient motion for overtopping flows with machine learning models

    Mohammad Najafzadeh;Giuseppe Oliveto

    (2020)
    65 Citations
  • Delft Dashboard: a quick set-up tool for hydrodynamic models

    Maarten van Ormondt;Kees Nederhoff;Ap van Dongeren

    (2020)
    60 Citations
  • Wavelet-based local mesh refinement for rainfall–runoff simulations

    Ilhan Özgen-Xian;Georges Kesserwani;Daniel Caviedes-Voullième;Sergi Molins

    (2020)
    42 Citations
  • Short-term water demand forecasting using data-centric machine learning approaches

    (2023)
    39 Citations
  • A multi-model integration method for monthly streamflow prediction: modified stacking ensemble strategy

    Yujie Li;Yujie Li;Zhongmin Liang;Yiming Hu;Binquan Li

    (2020)
    39 Citations
  • New stochastic modeling strategy on the prediction enhancement of pier scour depth in cohesive bed materials

    Ahmad Sharafati;Ali Tafarojnoruz;Zaher Mundher Yaseen

    (2020)
    33 Citations
  • Genetic programming for hydrological applications: to model or to forecast that is the question

    Herath Mudiyanselage Viraj Vidura Herath;Jayashree Chadalawada;Vladan Babovic

    (2021)
    30 Citations
  • Interactive decision support methodology for near real-time response to failure events in a water distribution network

    E. Nikoloudi;M. Romano;F.A. Memon;Z. Kapelan;Z. Kapelan

    (2021)
    25 Citations
  • Improved monthly runoff time series prediction using the SOA–SVM model based on ICEEMDAN–WD decomposition

    (2023)
    22 Citations
  • Application of nature-inspired optimization algorithms to ANFIS model to predict wave-induced scour depth around pipelines

    Ahmad Sharafati;Ali Tafarojnoruz;Davide Motta;Zaher Mundher Yaseen

    (2020)
    22 Citations

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Best Scientists Contributing to This Journal