Davide Motta

Davide Motta

Northumbria University

H-index: 15

Europe-United Kingdom

About Davide Motta

Davide Motta, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at Northumbria University, specializes in the field of Hydrology and Hydraulics, Sediment Transport and River Morphodynamics, River Water Quality, Archaeohydrology, Water Management.

His recent articles reflect a diverse array of research interests and contributions to the field:

Satellite-based ensemble intelligent approach for predicting forest fire: a case of the Hyrcanian forest in Iran

Satellite-based prediction of surface dust mass concentration in southeastern Iran using an intelligent approach

A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model

Hydrogeomorphology of Asymmetric Meandering Channels: Experiments and Field Evidence

The discharge of the pipelines supplying public fountains in Roman Pompeii

Developing a generic relation for predicting sediment pick-up rate using symbolic soft computing techniques

An intelligent approach for estimating aeration efficiency in stepped cascades: optimized support vector regression models and mutual information theory

The hydraulic characteristics of Roman lead water pipes: an experimental investigation

Davide Motta Information

University

Position

___

Citations(all)

883

Citations(since 2020)

619

Cited By

373

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

13

Email

University Profile Page

Northumbria University

Google Scholar

View Google Scholar Profile

Davide Motta Skills & Research Interests

Hydrology and Hydraulics

Sediment Transport and River Morphodynamics

River Water Quality

Archaeohydrology

Water Management

Top articles of Davide Motta

Title

Journal

Author(s)

Publication Date

Satellite-based ensemble intelligent approach for predicting forest fire: a case of the Hyrcanian forest in Iran

Environmental Science and Pollution Research

Seyed Babak Haji Seyed Asadollah

Ahmad Sharafati

Davide Motta

2024/2/27

Satellite-based prediction of surface dust mass concentration in southeastern Iran using an intelligent approach

Stochastic Environmental Research and Risk Assessment

Seyed Babak Haji Seyed Asadollah

Ahmad Sharafati

Davide Motta

Antonio Jodar-Abellan

Miguel Ángel Pardo

2023/10

A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model

Computers and Electronics in Agriculture

Ali Ghozat

Ahmad Sharafati

Seyed Babak Haji Seyed Asadollah

Davide Motta

2023/8/1

Hydrogeomorphology of Asymmetric Meandering Channels: Experiments and Field Evidence

Water Resources Research

Jorge Darwin Abad

Davide Motta

Leo Guerrero

Marco Paredes

Julio M Kuroiwa

...

2023/7/20

The discharge of the pipelines supplying public fountains in Roman Pompeii

Journal of Archaeological Science: Reports

MC Monteleone

Martin Crapper

Davide Motta

2023/2/1

Developing a generic relation for predicting sediment pick-up rate using symbolic soft computing techniques

Environmental Science and Pollution Research

Masoud Haghbin

Ahmad Sharafati

Seyed Babak Haji Seyed Asadollah

Davide Motta

2023/2

An intelligent approach for estimating aeration efficiency in stepped cascades: optimized support vector regression models and mutual information theory

Soft Computing

Seyed Babak Haji Seyed Asadollah

Ahmad Sharafati

Masoud Haghbin

Davide Motta

Mohamadreza Hosseinian Moghadam Noghani

2022/12

The hydraulic characteristics of Roman lead water pipes: an experimental investigation

The International Journal for the History of Engineering & Technology

Martin Crapper

Davide Motta

Coree Sinclair

Dominic Cole

Maria Monteleone

...

2022/9/30

Travertine crystal growth ripples record the hydraulic history of ancient Rome’s Anio Novus aqueduct

Scientific reports

Duncan Keenan-Jones

Davide Motta

Marcelo H Garcia

Mayandi Sivaguru

Mauricio Perillo

...

2022/1/24

Changing rate of urban creep and urban expansion over time and its impact upon the hydrologic response of a catchment

Water Science and Technology

Joseph Mcdonnell

Davide Motta

2022/1/1

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

Journal of environmental chemical engineering

Seyed Babak Haji Seyed Asadollah

Ahmad Sharafati

Davide Motta

Zaher Mundher Yaseen

2021/2/1

Prediction of channel sinuosity in perennial rivers using Bayesian Mutual Information theory and support vector regression coupled with meta-heuristic algorithms

Earth Science Informatics

Masoud Haghbin

Ahmad Sharafati

Davide Motta

2021/12

Calibration of a Hydraulic Model for Seasonal Flooding in a Lowland River with Natural Diversions and Bathymetric Uncertainty, for Dam Downstream Impact Assessment

Getachew E Mamo

Davide Motta

Martin Crapper

2021

Applications of soft computing models for predicting sea surface temperature: a comprehensive review and assessment

Masoud Haghbin

Ahmad Sharafati

Davide Motta

Nadhir Al-Ansari

Mohamadreza Hosseinian Moghadam Noghani

2021/12

Hydraulic engineering analysis of Roman water infrastructure: a review of practice and possibilities

Martin Crapper

Davide Motta

Duncan Keenan-Jones

Maria Monteleone

2021/11/8

The supply of the public lacus of Pompeii, estimated from the discharge of their overflow channels

Water History

Maria C Monteleone

Martin Crapper

Davide Motta

2021/7

The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and possible future …

Ahmad Sharafati

Masoud Haghbin

Davide Motta

Zaher Mundher Yaseen

2021/3

An efficient strategy for predicting river dissolved oxygen concentration: Application of deep recurrent neural network model

Environmental Monitoring and Assessment

Salar Valizadeh Moghadam

Ahmad Sharafati

Hajar Feizi

Seyed Mohammad Saeid Marjaie

Seyed Babak Haji Seyed Asadollah

...

2021/12

Application of nature-inspired optimization algorithms to ANFIS model to predict wave-induced scour depth around pipelines

AIMS Biophysics

Abhishek Mallick

Atanu Mondal

Somnath Bhattacharjee

Arijit Roy

2023/4/1

Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis

Hydrological Sciences Journal

Ahmad Sharafati

Seyed Babak Haji Seyed Asadollah

Davide Motta

Zaher Mundher Yaseen

2020/9/9

See List of Professors in Davide Motta University(Northumbria University)

Co-Authors

H-index: 66
Marcelo H. Garcia

Marcelo H. Garcia

University of Illinois at Urbana-Champaign

H-index: 39
Bruce W. Fouke

Bruce W. Fouke

University of Illinois at Urbana-Champaign

H-index: 21
Xiaofeng Liu

Xiaofeng Liu

Penn State University

H-index: 16
Martin Crapper

Martin Crapper

Northumbria University

H-index: 8
Masoud Haghbin

Masoud Haghbin

Universidad de Granada

H-index: 6
Sumit Sinha

Sumit Sinha

University of Leeds

academic-engine