Omid Rahmati

11.4k total citations · 9 hit papers
81 papers, 8.8k citations indexed

About

Omid Rahmati is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Omid Rahmati has authored 81 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Global and Planetary Change, 38 papers in Environmental Engineering and 38 papers in Water Science and Technology. Recurrent topics in Omid Rahmati's work include Flood Risk Assessment and Management (54 papers), Hydrology and Watershed Management Studies (38 papers) and Groundwater and Watershed Analysis (30 papers). Omid Rahmati is often cited by papers focused on Flood Risk Assessment and Management (54 papers), Hydrology and Watershed Management Studies (38 papers) and Groundwater and Watershed Analysis (30 papers). Omid Rahmati collaborates with scholars based in Iran, United States and South Korea. Omid Rahmati's co-authors include Hamid Reza Pourghasemi, Hossein Zeinivand, Ali Haghizadeh, Assefa M. Melesse, Bahram Choubin, Hamid Darabi, Dieu Tien Bui, Biswajeet Pradhan, Aliakbar Nazari Samani and Mohammad Mahdavi and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Omid Rahmati

80 papers receiving 8.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

2014 516 citations Omid Rahmati, Hamid Reza Pourghasemi et al. profile →
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

2015 464 citations Omid Rahmati, Hamid Reza Pourghasemi et al. Geocarto International profile →
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

2015 450 citations Omid Rahmati, Hamid Reza Pourghasemi et al. CATENA profile →
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

2015 427 citations Hamid Reza Pourghasemi, Omid Rahmati et al. profile →
Prediction of the landslide susceptibility: Which algorithm, which precision?

2017 393 citations Hamid Reza Pourghasemi, Omid Rahmati CATENA profile →
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

2018 323 citations Hamid Darabi, Bahram Choubin et al. profile →
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

2020 292 citations Omid Ghorbanzadeh, Omid Rahmati et al. profile →
A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

2018 282 citations Farzaneh Sajedi Hosseini, Bahram Choubin et al. The Science of The Total Environment profile →
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

2020 280 citations Himan Shahabi, Ataollah Shirzadi et al. Remote Sensing profile →

Peers

Countries citing papers authored by Omid Rahmati

Since Specialization

Citations

This map shows the geographic impact of Omid Rahmati'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 Omid Rahmati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Rahmati more than expected).

Fields of papers citing papers by Omid Rahmati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omid Rahmati. 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 Omid Rahmati. The network helps show where Omid Rahmati may publish in the future.

Co-authorship network of co-authors of Omid Rahmati

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Rahmati. A scholar is included among the top collaborators of Omid Rahmati 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 Omid Rahmati. Omid Rahmati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mapping of salty aeolian dust-source potential areas: Ensemble model or benchmark models? 2023 ·The Science of The Total Environment ·Bahram Choubin, Farzaneh Sajedi Hosseini, Omid Rahmati, (unknown), Mohammad Barzegar-Jalali	10
2	Scrutinization of land subsidence rate using a supportive predictive model: Incorporating radar interferometry and ensemble soft-computing 2023 ·Journal of Environmental Management ·Bahram Choubin, (unknown), Farzaneh Sajedi Hosseini, (unknown), Omid Rahmati	4
3	Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood 2021 ·Geocarto International ·Hamid Darabi, Omid Rahmati, Seyed Amir Naghibi, Farnoush Mohammadi, Ebrahim Ahmadisharaf, Zahra Kalantari, Ali Torabi Haghighi, Scott A. Soleimanpour, John P. Tiefenbacher, Dieu Tien Bui	31
4	Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models 2020 ·Water ·Viet‐Ha Nhu, Omid Rahmati, Fatemeh Falah, Saeed Shojaei, Nadhir Al‐Ansari, Himan Shahabi, Ataollah Shirzadi, K. Górski, Hoang Nguyen, Baharin Bin Ahmad	63
5	Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier breakdown → 2020 ·Remote Sensing ·Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, Ebrahim Omidvar, Nadhir Al‐Ansari, John J. Clague, Marten Geertsema, Khabat Khosravi, Ata Amini, (unknown), Omid Rahmati, Kyoumars Habibi, Ayub Mohammadi, Hoang Nguyen, Assefa M. Melesse, Baharin Bin Ahmad, Anuar Ahmad	280
6	Assessing the susceptibility of schools to flood events in Iran 2020 ·Scientific Reports ·Saleh Yousefi, Hamid Reza Pourghasemi, (unknown), Omid Rahmati, (unknown), Soheila Pouyan, John P. Tiefenbacher, (unknown), (unknown)	25
7	Development of novel hybridized models for urban flood susceptibility mapping 2020 ·Scientific Reports ·Omid Rahmati, Hamid Darabi, Mahdi Panahi, Zahra Kalantari, Seyed Amir Naghibi, Carla Ferreira, Aiding Kornejady, Zahra Karimidastenaei, Farnoush Mohammadi, Stefanos Stefanidis, Dieu Tien Bui, Ali Torabi Haghighi	107
8	Identifying sources of dust aerosol using a new framework based on remote sensing and modelling 2020 ·The Science of The Total Environment ·Omid Rahmati, Farnoush Mohammadi, (unknown), John P. Tiefenbacher, Davoud Davoudi Moghaddam, Frédéric Coulon, Omid Asadi Nalivan, Dieu Tien Bui	45
9	RiMARS: An automated river morphodynamics analysis method based on remote sensing multispectral datasets 2020 ·The Science of The Total Environment ·(unknown), Meseret Walle Menberu, Hamid Darabi, Omid Rahmati, Pekka M. Rossi, Bjørn Kløve, Ali Torabi Haghighi	18
10	Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions 2019 ·Remote Sensing ·Omid Rahmati, Omid Ghorbanzadeh, (unknown), Farnoush Mohammadi, John P. Tiefenbacher, Fatemeh Falah, Saied Pirasteh, Phuong Thao Thi Ngo, Dieu Tien Bui	55
11	The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers 2019 ·CATENA ·Davoud Davoudi Moghaddam, Omid Rahmati, Mahdi Panahi, (unknown), Hamid Darabi, Ali Haghizadeh, Ali Torabi Haghighi, Omid Asadi Nalivan, Dieu Tien Bui	106
12	Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia 2019 ·The Science of The Total Environment ·Omid Rahmati, Mahdi Panahi, Zahra Kalantari, (unknown), Fatemeh Falah, Kavina Dayal, Farnoush Mohammadi, Ravinesh C. Deo, (unknown), (unknown)	40
13	Fog-water harvesting Capability Index (FCI) mapping for a semi-humid catchment based on socio-environmental variables and using artificial intelligence algorithms 2019 ·The Science of The Total Environment ·Zahra Karimidastenaei, (unknown), Omid Rahmati, Kabir Rasouli, (unknown), (unknown), Biswajeet Pradhan, Bjørn Kløve	12
14	Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia 2019 ·The Science of The Total Environment ·Omid Rahmati, Fatemeh Falah, Kavina Dayal, Ravinesh C. Deo, Farnoush Mohammadi, Trent Biggs, Davoud Davoudi Moghaddam, Seyed Amir Naghibi, Dieu Tien Bui	136
15	PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches 2019 ·The Science of The Total Environment ·Omid Rahmati, Aiding Kornejady, Mahmood Samadi, Ravinesh C. Deo, Christian Conoscenti, Luigi Lombardo, Kavina Dayal, Ruhollah Taghizadeh‐Mehrjardi, Hamid Reza Pourghasemi, Sandeep Kumar, Dieu Tien Bui	82
16	Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities 2019 ·Journal of Environmental Management ·Omid Rahmati, Ali Golkarian, Trent Biggs, Saskia Keesstra, Farnoush Mohammadi, Ioannis Ν. Daliakopoulos	123
17	Land subsidence modelling using tree-based machine learning algorithms 2019 ·The Science of The Total Environment ·Omid Rahmati, Fatemeh Falah, Seyed Amir Naghibi, Trent Biggs, (unknown), Ravinesh C. Deo, Artemi Cerdà, Farnoush Mohammadi, Dieu Tien Bui	138
18	How can statistical and artificial intelligence approaches predict piping erosion susceptibility? 2018 ·The Science of The Total Environment ·Mohsen Hosseinalizadeh, Narges Kariminejad, Omid Rahmati, Saskia Keesstra, (unknown), Ali Mohammadian Behbahani	54
19	Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND 2017 ·Geocarto International ·Aiding Kornejady, Majid Ownegh, Omid Rahmati, Abdolreza Bahremand	59
20	Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework 2016 ·The Science of The Total Environment ·Omid Rahmati, Naser Tahmasebipour, Ali Haghizadeh, Hamid Reza Pourghasemi, Bakhtiar Feizizadeh	161

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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