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Journal of Water Resources Planning and Management - ASCE
H-index 25

Journal of Water Resources Planning and Management - ASCE

0733-9496

Published by: American Society of Civil Engineers (ASCE)

https://ascelibrary.org/journal/jwrmd5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 333 76 178 23
Earth Science 384 15 20 9
Environmental Sciences 384 47 77 14

Additional Metrics

Number of Best Scientists*: 158
Documents by Best Scientists*: 270
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 118
SCIMAGO SJR: 0.726
Impact Factor: 2.7

Overview

Top Research Topics at Journal of Water Resources Planning and Management?

Journal of Water Resources Planning and Management is organized to address concerns in the fields of Water resources, Mathematical optimization, Hydrology, Water supply and Water resource management. The studies in Water resources featured incorporate elements of Climate change, Environmental planning, Environmental resource management and Operations research. Mathematical optimization and Computer programming are closely related fields of research discussed in it.

Surface runoff, Water quality, Drainage basin, Hydrological modelling and Flood myth studies are all carried out as a component of the study in Hydrology presented. Water supply studies tackled cover an aspect of the field of Environmental engineering. The Water resource management works featured in it incorporate elements from Water use, Water conservation, Irrigation and Groundwater.

  • Water resources (18.99%)
  • Mathematical optimization (18.12%)
  • Hydrology (17.69%)

What are the most cited papers published in the journal?

  • Optimal Operation of Multireservoir Systems: State-of-the-Art Review (1187 citations)
  • Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm (1083 citations)
  • Genetic Algorithms for Least-Cost Design of Water Distribution Networks (801 citations)

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

The main points discussed in the journal papers deal with Mathematical optimization, Water resources, Water supply, Hydrology and Environmental engineering. The most cited papers facilitate discussions on Mathematical optimization that incorporate concepts from other fields like Computer programming, Computation and Nonlinear programming. The published articles address concerns in the field of Hydrology by exploring it in line with topics in Water resource management which intersect with Water use subjects.

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

  • Statistics
  • Law
  • Artificial intelligence

The previous edition focused in particular on these issues:

Journal of Water Resources Planning and Management tackles a plethora of topics, such as Salmon fishery, Chinook wind, Abstraction, Recreation and Newton's method. The work on Newton's method tackled in the journal brings together disciplines like Mechanics and Convex optimization. The journal centers on topics in Mechanics, with a focus on Flow (mathematics).

The most cited articles from the last journal are:

  • Cumulative Impacts of Water Abstraction on a Recreational Salmon Fishery on the Rangitata River, New Zealand (0 citations)
  • Prediction of Global Efficiency and Economic Viability of Replacing PRVs with Hydraulically Regulated Pump-as-Turbines at Instrumented Sites within Water Distribution Networks (0 citations)
  • An Interior Point Method Applied to Flow Constraints in a Pressure-Dependent Water Distribution System (0 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 Water Resources Planning and Management (based on the number of publications) are:

  • Jay R. Lund (56 papers) absent at the last edition,
  • Avi Ostfeld (55 papers) absent at the last edition,
  • Angus R. Simpson (46 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Zoran Kapelan (45 papers) absent at the last edition,
  • Thomas M. Walski (43 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 Water Resources Planning and Management (based on the number of publications) are:

  • University of Adelaide (74 papers) absent at the last edition,
  • University of Exeter (72 papers) absent at the last edition,
  • University of California, Davis (65 papers) absent at the last edition,
  • University of Illinois at Urbana–Champaign (64 papers) absent at the last edition,
  • Technion – Israel Institute of Technology (57 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 2022 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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

  • Hourly and Daily Urban Water Demand Predictions Using a Long Short-Term Memory Based Model

    Li Mu;Feifei Zheng;Ruoling Tao;Qingzhou Zhang

    (2020)
    83 Citations
  • Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks

    Jessica Bohorquez;Bradley Alexander;Angus R. Simpson;Martin F. Lambert

    (2020)
    75 Citations
  • Battle of the Leakage Detection and Isolation Methods

    (2022)
    59 Citations
  • Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling

    C. Giudicianni;M. Herrera;A. Di Nardo;R. Greco

    (2020)
    57 Citations
  • Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic

    Emily Zechman Berglund;Nathalie Thelemaque;Lauryn Spearing;Kasey M. Faust

    (2021)
    54 Citations
  • Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide

    Mark Stephens;Jinzhe Gong;Chi Zhang;Angela Marchi

    (2020)
    50 Citations
  • Simulating Hydropower Discharge using Multiple Decision Tree Methods and a Dynamical Model Merging Technique

    Tiantian Yang;Xiaomang Liu;Lingling Wang;Peng Bai

    (2020)
    43 Citations
  • The Nile Water-Food-Energy Nexus under Uncertainty: Impacts of the Grand Ethiopian Renaissance Dam

    Hamdy Elsayed;Slobodan Djordjević;Dragan A. Savić;Ioannis Tsoukalas

    (2020)
    37 Citations
  • Dam-Impacted Water–Energy–Food Nexus in Lancang-Mekong River Basin

    Jinyu Gao;Jianshi Zhao;Hao Wang

    (2021)
    35 Citations
  • Short-Term Water Demand Forecasting Using Nonlinear Autoregressive Artificial Neural Networks

    Mo’tamad H. Bata;Rupp Carriveau;David S.-K. Ting

    (2020)
    34 Citations

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Best Scientists Contributing to This Journal