Journal of Hydrologic Engineering - ASCE

Aims & Scope

The Journal of Hydrologic Engineering disseminates information on the development of new hydrologic methods, theories, and applications to current engineering problems.

The journal publishes papers on analytical, numerical, and experimental methods for the investigation and modeling of hydrological processes.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	2.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.564

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	107

Journal Rank

Year	Value
2024	10316

Journal Citation Indicator

Year	Value
2024	571

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Abstracting & Indexing

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

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

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

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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.

• Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration

  Citation: 1674

  Authors: Hoshin Vijai, Soroosh, Patrice Ogou

• Artificial Neural Networks in Hydrology. I: Preliminary Concepts

  Citation: 1231

  Authors:

• Artificial Neural Networks in Hydrology. II: Hydrologic Applications

  Citation: 1155

  Authors:

• Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask

  Citation: 1151

  Authors: Christian, Anne-Catherine

• Innovative Trend Analysis Methodology

  Citation: 837

  Authors: Zekâi

• Runoff Curve Number: Has It Reached Maturity?

  Citation: 737

  Authors: Victor M., Richard H.

• Evaluation of the Nash–Sutcliffe Efficiency Index

  Citation: 616

  Authors: Richard H., Zachary, A. Gillian

• Mathematical Modeling of Watershed Hydrology

  Citation: 572

  Authors: Vijay P., David A.

• Rainfall-Runoff Modeling Using Artificial Neural Networks

  Citation: 509

  Authors: A. Sezin, Peggy A.

• Bivariate Flood Frequency Analysis Using the Copula Method

  Citation: 438

  Authors: L., V. P.

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