Journal of Hydroinformatics

Aims & Scope

Journal of Hydroinformatics is a peer-reviewed journal devoted to the application of information technology in the widest sense to problems of the aquatic environment.

It promotes Hydroinformatics as a cross-disciplinary field of study, combining technological, human-sociological and more general environmental interests, including an ethical perspective.

Contributions will be published in the following areas: Physically-based simulation modelling Numerical methods Data-driven modelling and management Artificial neural networks Evolutionary methods Cellular automata Modelling systems Geographic information systems (GIS) and virtual imaging Ecology and water quality modelling Environmental impact assessment Knowledge engineering and management Socio-economic framework Intelligent decision support, negotiation and management Education and training Internet-based applications Optimisation and control Risk analysis, fuzzy logic and management of uncertainty Tools, environments and languages.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, Engineering and Environmental Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Earth and Planetary Sciences, Engineering and Environmental Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,750.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Data-driven modelling: some past experiences and new approaches

  Citation: 520

  Authors: Dimitri P., Avi

• A symbolic data-driven technique based on evolutionary polynomial regression

  Citation: 294

  Authors: Orazio, Dragan A.

• A hybrid model coupled with singular spectrum analysis for daily rainfall prediction

  Citation: 260

  Authors: K. W., C. L.

• Improved annual rainfall-runoff forecasting using PSO–SVM model based on EEMD

  Citation: 252

  Authors: Wen-chuan, Dong-mei, Kwok-wing, Shouyu

• OpenMI: Open modelling interface

  Citation: 228

  Authors: J. B., P. J. A., S. J. P.

• Real-time urban flood forecasting and modelling – a state of the art

  Citation: 189

  Authors: Justine, Beniamino, Ole, Philippe

• Identification of support vector machines for runoff modelling

  Citation: 182

  Authors: Michaela, Dawei

• Advances in data-driven analyses and modelling using EPR-MOGA

  Citation: 181

  Authors: O., D. A.

• Flood forecasting using support vector machines

  Citation: 177

  Authors: D., L., N.

• Development of pipe deterioration models for water distribution systems using EPR

  Citation: 173

  Authors: L., O., Z., D. A.