J. Mahjoobi

938 total citations
14 papers, 784 citations indexed

About

J. Mahjoobi is a scholar working on Environmental Engineering, Ecology and Oceanography. According to data from OpenAlex, J. Mahjoobi has authored 14 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 6 papers in Ecology and 5 papers in Oceanography. Recurrent topics in J. Mahjoobi's work include Hydrological Forecasting Using AI (9 papers), Hydrology and Sediment Transport Processes (6 papers) and Ocean Waves and Remote Sensing (5 papers). J. Mahjoobi is often cited by papers focused on Hydrological Forecasting Using AI (9 papers), Hydrology and Sediment Transport Processes (6 papers) and Ocean Waves and Remote Sensing (5 papers). J. Mahjoobi collaborates with scholars based in Iran, Malaysia and India. J. Mahjoobi's co-authors include Amir Etemad‐Shahidi, Ehsan Adeli, Mohammad Hossein Kazeminezhad, Vahid Moosavi, Ali Talebi, Mohammad Taghi Dastorani, Maurizio Brocchini, Hazi Mohammad Azamathulla, Zulfequar Ahmad and Aminuddin Ab. Ghani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ocean Engineering and Applied Ocean Research.

In The Last Decade

J. Mahjoobi

13 papers receiving 767 citations

Peers

Countries citing papers authored by J. Mahjoobi

Since Specialization

Citations

This map shows the geographic impact of J. Mahjoobi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Mahjoobi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mahjoobi more than expected).

Fields of papers citing papers by J. Mahjoobi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Mahjoobi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Mahjoobi. The network helps show where J. Mahjoobi may publish in the future.

Co-authorship network of co-authors of J. Mahjoobi

This figure shows the co-authorship network connecting the top 25 collaborators of J. Mahjoobi. A scholar is included among the top collaborators of J. Mahjoobi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Mahjoobi. J. Mahjoobi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Combining Group Method of Data Handling with Signal Processing Approaches to Improve Accuracy of Groundwater Level Modeling 2021 ·Natural Resources Research ·Vahid Moosavi, J. Mahjoobi, (unknown)	16
2	Application of Machine Learning Approaches in Rainfall-Runoff Modeling (Case Study: Zayandeh_Rood Basin in Iran) 2018 ·SHILAP Revista de lepidopterología ·Mohammad Taghi Dastorani, J. Mahjoobi, Ali Talebi, (unknown)	10
3	Prediction of scour depth at breakwaters due to non-breaking waves using machine learning approaches 2017 ·Applied Ocean Research ·(unknown), Maurizio Brocchini, (unknown), J. Mahjoobi, (unknown), (unknown)	36
4	Estimation of suspended sediment load using regression trees and model trees approaches (Case study: Hyderabad drainage basin in Iran) 2016 ·ISH Journal of Hydraulic Engineering ·Ali Talebi, J. Mahjoobi, Mohammad Taghi Dastorani, Vahid Moosavi	34
5	Determination of optimized sediment rating equation and its relationship with physical characteristics of watershed in semiarid regions: A case study of Pol-Doab watershed, Iran 2015 ·SHILAP Revista de lepidopterología ·Ali Talebi, (unknown), (unknown), J. Mahjoobi	3
6	PREDICTION OF SCOUR DEPTH IN DOWNSTREAM OF SKI-JUMP SPILLWAYS USING SOFT COMPUTING TECHNIQUES 2011 ·International Journal of Computers and Applications ·(unknown), Hazi Mohammad Azamathulla, Zulfequar Ahmad, Aminuddin Ab. Ghani, J. Mahjoobi, Amin Rasekh	13
7	Evaluation of regular wave scour around a circular pile using data mining approaches 2010 ·Applied Ocean Research ·(unknown), Amir Etemad‐Shahidi, J. Mahjoobi	31
8	Application of Meta-Heuristic Models for Local Scour Evaluation 2010 ·AIP conference proceedings ·J. Mahjoobi, (unknown), Ebrahim Jabbari, Daniel M. Dubois	4
9	Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior 2009 ·Ocean Engineering ·Amir Etemad‐Shahidi, J. Mahjoobi	180
10	Prediction of significant wave height using regressive support vector machines 2009 ·Ocean Engineering ·J. Mahjoobi, Ehsan Adeli	201
11	Hindcasting of wave parameters using different soft computing methods 2008 ·Applied Ocean Research ·J. Mahjoobi, Amir Etemad‐Shahidi, Mohammad Hossein Kazeminezhad	131
12	Prediction of Significant Wave Height Based on Regression Trees 2008 ·ScholarsArchive (Brigham Young University) ·Amir Etemad‐Shahidi, J. Mahjoobi	2
13	An alternative approach for the prediction of significant wave heights based on classification and regression trees 2008 ·Applied Ocean Research ·J. Mahjoobi, Amir Etemad‐Shahidi	123
14	Application of decision tree techniques for the Prediction of Significant Wave Height 2007 ·Griffith Research Online (Griffith University, Queensland, Australia) ·J. Mahjoobi, Amir Etemad‐Shahidi	0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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