World's Best Scientists 2026 revealed!
Water Resources Management
H-index 36

Water Resources Management

0920-4741

Published by: Springer

https://www.springer.com/journal/11269

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 163 42 67 22
Engineering and Technology 278 81 165 26

Additional Metrics

Number of Best Scientists*: 246
Documents by Best Scientists*: 365
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 135
SCIMAGO SJR: 1.048
Impact Factor: 4.7

Overview

Top Research Topics at Water Resources Management?

Water Resources Management mainly tackles studies in Hydrogeology, Hydrology, Water resources, Water resource management and Groundwater. The journal focuses on Hydrogeology but the discussions also offer insight into other areas such as Soil science, Environmental engineering, Water quality, Mathematical optimization and Aquifer. It is mostly focused on Mathematical optimization, specifically Genetic algorithm.

The Hydrology research presented places emphasis on topics like Surface runoff, Drainage basin, Watershed, Streamflow and Flood myth. Drainage basin research discussed connects with the study of Structural basin. Topics in Water resources were tackled in line with various other fields like Water use, Climate change, Environmental resource management and Water supply.

The research on Climate change tackled can also make contributions to studies in the areas of Climatology and Precipitation. In Water Resources Management, Agriculture and Water conservation, Irrigation are investigated in conjunction with one another to address concerns in Water resource management research. The Groundwater study featured in Water Resources Management draws parallels with the field of Surface water.

  • Hydrogeology (27.37%)
  • Hydrology (26.09%)
  • Water resources (25.36%)

What are the most cited papers published in the journal?

  • Water footprints of nations: Water use by people as a function of their consumption pattern (1060 citations)
  • Transitions towards adaptive management of water facing climate and global change (862 citations)
  • The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series (597 citations)

Research areas of the most cited articles at Water Resources Management:

The journal publications primarily tackle Hydrology, Water resources, Hydrogeology, Water resource management and Drainage basin. The Hydrology research tackled in the published papers is interrelated with Precipitation which concerns subjects like Climatology. The journal articles explore research in Water resources alongside concepts in Water supply and other areas of study in Environmental economics.

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

  • Statistics
  • Law
  • Ecology

The previous edition focused in particular on these issues:

The journal investigates studies in Hydrogeology, Water resources, Mathematical optimization, Hydrology and Surface runoff. Topics in Hydrogeology explored in Water Resources Management were investigated in conjunction with research in Artificial neural network, Groundwater, Flood myth, Flow (psychology) and Groundwater recharge. In addition to Groundwater research, it aims to explore topics under Soil science and Water resource management.

While the primary focus in the journal is Water resources, it also dissects topics surrounding Environmental economics and Water supply as a whole. The studies on Mathematical optimization discussed can also contribute to research in the domains of Reliability (computer networking) and Hydropower. Hydrology research is concerned with Drainage basin in particular.

The most cited articles from the last journal are:

  • Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction (28 citations)
  • Multiple Hydropower Reservoirs Operation by Hyperbolic Grey Wolf Optimizer Based on Elitism Selection and Adaptive Mutation (10 citations)
  • Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods (10 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 Water Resources Management (based on the number of publications) are:

  • Vijay P. Singh (58 papers) absent at the last edition,
  • Ozgur Kisi (40 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Ahmed El-Shafie (32 papers) absent at the last edition,
  • Miguel A. Mariño (29 papers) absent at the last edition,
  • Chong-Yu Xu (24 papers) published 1 paper at the last edition, 4 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 Water Resources Management (based on the number of publications) are:

  • University of Tehran (142 papers) published 14 papers at the last edition, 2 more than at the previous edition,
  • Hohai University (101 papers) published 16 papers at the last edition the same number as at the previous edition,
  • Chinese Academy of Sciences (96 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • Wuhan University (80 papers) published 6 papers at the last edition, 6 less than at the previous edition,
  • Texas A&M University (64 papers) published 3 papers at the last edition, 2 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, 13.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.54% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.52% of all publications and 53.53% 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

  • Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions

    Farid Saberi-Movahed;Mohammad Najafzadeh;Adel Mehrpooya

    (2020)
    182 Citations
  • Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

    Peyman Yariyan;Saeid Janizadeh;Tran Van Phong;Huu Duy Nguyen

    (2020)
    146 Citations
  • A Method for Predicting Long-Term Municipal Water Demands Under Climate Change

    Salah L. Zubaidi;Sandra Ortega-Martorell;Patryk Kot;Rafid M. Alkhaddar

    (2020)
    138 Citations
  • Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

    Zaher Mundher Yaseen;Sujay Raghavendra Naganna;Zulfaqar Sa’adi;Pijush Samui

    (2020)
    84 Citations
  • FingerPro: an R Package for Tracking the Provenance of Sediment

    Ivan Lizaga;Borja Latorre;Leticia Gaspar;Ana Navas

    (2020)
    76 Citations
  • Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS

    (2021)
    70 Citations
  • Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

    Amir Molajou;Vahid Nourani;Vahid Nourani;Abbas Afshar;Mina Khosravi

    (2021)
    69 Citations
  • Incorporating Social System into Water-Food-Energy Nexus

    Amir Molajou;Parsa Pouladi;Abbas Afshar

    (2021)
    67 Citations
  • Advanced Machine Learning Model for Prediction of Drought Indices using Hybrid SVR-RSM

    (2022)
    63 Citations
  • Climate Change Impacts on Water Resources and Sustainable Water Management Strategies in North America

    (2023)
    62 Citations

Related Online Degrees & Career Pathways

Pursuing a degree in Environmental Sciences opens doors to various career opportunities, but students should consider the diversity of related programs available online. For those seeking affordability, exploring the cheapest online environmental science degree programs can help balance quality education with budget constraints.

Environmental Science graduates can move into fields such as environmental consulting, conservation, or resource management. To better understand these possibilities, reviewing career options detailed in what can you do with an environmental science degree offers valuable insights into impactful roles within the sector.

Additionally, students interested in diversifying their expertise might consider complementary studies. For example, programs like the affordable online masters in psychology can enhance understanding of human-environment interactions, while fast track speech pathology programs offer unique pathways for careers focusing on communication and public outreach.

Choosing the right online degree or career path ultimately depends on your goals, budget, and desired pace of study. Exploring these options can help tailor an education plan that supports a sustainable and rewarding future.

Best Scientists Contributing to This Journal