Alireza Arabameri

7.4k total citations
111 papers, 5.7k citations indexed

About

Alireza Arabameri is a scholar working on Global and Planetary Change, Environmental Engineering and Soil Science. According to data from OpenAlex, Alireza Arabameri has authored 111 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Global and Planetary Change, 51 papers in Environmental Engineering and 41 papers in Soil Science. Recurrent topics in Alireza Arabameri's work include Flood Risk Assessment and Management (67 papers), Groundwater and Watershed Analysis (42 papers) and Soil erosion and sediment transport (40 papers). Alireza Arabameri is often cited by papers focused on Flood Risk Assessment and Management (67 papers), Groundwater and Watershed Analysis (42 papers) and Soil erosion and sediment transport (40 papers). Alireza Arabameri collaborates with scholars based in Iran, India and Vietnam. Alireza Arabameri's co-authors include Biswajeet Pradhan, Khalil Rezaei, Dieu Tien Bui, Thomas Blaschke, Subodh Chandra Pal, Sunil Saha, Artemi Cerdà, Jagabandhu Roy, Saro Lee and Rabin Chakrabortty and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Alireza Arabameri

109 papers receiving 5.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alireza Arabameri Iran 50 3.6k 2.1k 1.8k 1.8k 1.6k 111 5.7k
Rabin Chakrabortty India 40 2.6k 0.7× 1.5k 0.7× 1.6k 0.9× 946 0.5× 1.1k 0.7× 112 4.3k
Omid Rahmati Iran 48 5.7k 1.6× 4.2k 2.0× 3.5k 2.0× 1.7k 1.0× 1.1k 0.7× 81 8.8k
Kamran Chapi Iran 32 4.1k 1.1× 1.6k 0.7× 1.8k 1.0× 2.1k 1.2× 397 0.3× 45 5.6k
Baharin Bin Ahmad Malaysia 47 4.3k 1.2× 1.8k 0.8× 1.4k 0.8× 3.2k 1.8× 662 0.4× 84 6.9k
Romulus Costache Romania 45 4.6k 1.3× 2.0k 0.9× 2.5k 1.4× 1.4k 0.8× 379 0.2× 132 6.3k
Sunil Saha India 37 2.3k 0.6× 1.1k 0.5× 671 0.4× 1.6k 0.9× 842 0.5× 90 3.7k
Khabat Khosravi Iran 47 5.4k 1.5× 3.2k 1.5× 3.3k 1.8× 2.4k 1.4× 541 0.3× 112 8.7k
Mahdi Panahi Iran 41 4.2k 1.2× 2.0k 0.9× 1.7k 0.9× 2.6k 1.5× 417 0.3× 79 6.8k
Seyed Amir Naghibi Iran 30 2.7k 0.8× 2.5k 1.2× 1.7k 1.0× 1.1k 0.6× 349 0.2× 48 4.6k
Ataollah Shirzadi Iran 46 5.6k 1.6× 2.0k 0.9× 2.2k 1.3× 3.3k 1.9× 503 0.3× 57 7.7k

Countries citing papers authored by Alireza Arabameri

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Arabameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Arabameri

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

All Works

20 of 20 papers shown
1.
Arora, Aman, et al.. (2025). Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India. Scientific Reports. 15(1). 32757–32757. 1 indexed citations
2.
Arabameri, Alireza, et al.. (2024). Groundwater spring potential mapping: Assessment the contribution of hydrogeological factors. Advances in Space Research. 74(1). 48–64. 6 indexed citations
3.
Sarkar, Biplab, Abdur Rahman, Aznarul Islam, et al.. (2024). Soil erosion and sediment yield estimation in a tropical monsoon dominated river basin using GIS-based models. Geocarto International. 39(1). 7 indexed citations
4.
Guan, Qing, et al.. (2024). Scrutinizing gully erosion hotspots to predict gully erosion susceptibility using ensemble learning framework. Advances in Space Research. 74(7). 2941–2957. 1 indexed citations
5.
Islam, Abu Reza Md. Towfiqul, Abdullah Al Mamun, G. M. Monirul Alam, et al.. (2024). A new approach from public behavioral attitudes and perceptions towards microplastics: Influencing factors, and policy proposals. Ocean & Coastal Management. 253. 107144–107144. 11 indexed citations
6.
Jiang, Xi, et al.. (2023). Landslide risk assessment and management using hybrid machine learning‐based empirical models. Geological Journal. 59(3). 885–905. 3 indexed citations
7.
Arabameri, Alireza, et al.. (2022). Land subsidence susceptibility assessment using advanced artificial intelligence models. Geocarto International. 37(27). 18067–18093. 10 indexed citations
8.
Costache, Romulus, Alireza Arabameri, Anca Crăciun, et al.. (2022). Stacking state-of-the-art ensemble for flash-flood potential assessment. Geocarto International. 37(26). 13812–13838. 13 indexed citations
9.
Costache, Romulus, Alireza Arabameri, Thomas Blaschke, et al.. (2021). Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. Sensors. 21(1). 280–280. 62 indexed citations
10.
Costache, Romulus, Alireza Arabameri, Hossein Moayedi, et al.. (2021). Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree. Geocarto International. 37(23). 6780–6807. 34 indexed citations
11.
Costache, Romulus, Alireza Arabameri, Ismail Elkhrachy, Omid Ghorbanzadeh, & Quoc Bao Pham. (2021). Detection of areas prone to flood risk using state-of-the-art machine learning models. Geomatics Natural Hazards and Risk. 12(1). 1488–1507. 53 indexed citations
12.
Costache, Romulus, Quoc Bao Pham, Alireza Arabameri, et al.. (2021). Flash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning. Geocarto International. 37(25). 8361–8393. 41 indexed citations
13.
Costache, Romulus, Sk Ajim Ali, Farhana Parvin, et al.. (2021). Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network. Geocarto International. 37(25). 7303–7338. 34 indexed citations
14.
Arabameri, Alireza, Nitheshnirmal Sãdhasivam, Hamza Turabieh, et al.. (2021). Credal decision tree based novel ensemble models for spatial assessment of gully erosion and sustainable management. Scientific Reports. 11(1). 3147–3147. 26 indexed citations
15.
Chowdhuri, Indrajit, Subodh Chandra Pal, Alireza Arabameri, et al.. (2021). Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India. Stochastic Environmental Research and Risk Assessment. 36(1). 283–295. 25 indexed citations
16.
Pal, Subodh Chandra, Alireza Arabameri, Thomas Blaschke, et al.. (2020). Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility. Remote Sensing. 12(22). 3675–3675. 68 indexed citations
17.
Chowdhuri, Indrajit, Subodh Chandra Pal, Alireza Arabameri, et al.. (2020). Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment. Remote Sensing. 12(21). 3620–3620. 71 indexed citations
18.
Costache, Romulus, Ismail Elkhrachy, Quoc Bao Pham, et al.. (2020). New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping. Hydrological Sciences Journal. 65(16). 2816–2837. 61 indexed citations
19.
Arabameri, Alireza, Sunil Saha, Kaustuv Mukherjee, et al.. (2020). Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran. Remote Sensing. 12(20). 3423–3423. 60 indexed citations
20.
Arabameri, Alireza, Sunil Saha, Jagabandhu Roy, et al.. (2020). A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. The Science of The Total Environment. 726. 138595–138595. 90 indexed citations

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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