Omid Asadi Nalivan

892 total citations
22 papers, 674 citations indexed

About

Omid Asadi Nalivan is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Omid Asadi Nalivan has authored 22 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 13 papers in Environmental Engineering and 7 papers in Water Science and Technology. Recurrent topics in Omid Asadi Nalivan's work include Flood Risk Assessment and Management (12 papers), Groundwater and Watershed Analysis (10 papers) and Soil erosion and sediment transport (6 papers). Omid Asadi Nalivan is often cited by papers focused on Flood Risk Assessment and Management (12 papers), Groundwater and Watershed Analysis (10 papers) and Soil erosion and sediment transport (6 papers). Omid Asadi Nalivan collaborates with scholars based in Iran, Vietnam and India. Omid Asadi Nalivan's co-authors include Dieu Tien Bui, Alireza Arabameri, Omid Rahmati, Subodh Chandra Pal, Davoud Davoudi Moghaddam, Saro Lee, Ali Torabi Haghighi, Hamid Darabi, Hossein Moayedi and Biswajeet Pradhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Omid Asadi Nalivan

22 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omid Asadi Nalivan Iran 12 369 315 224 116 101 22 674
Md Masroor India 18 408 1.1× 270 0.9× 211 0.9× 128 1.1× 100 1.0× 34 687
Md Hibjur Rahaman India 17 344 0.9× 208 0.7× 176 0.8× 101 0.9× 88 0.9× 34 574
Abhisek Chakrabarty India 12 342 0.9× 278 0.9× 129 0.6× 148 1.3× 93 0.9× 21 634
B. Venkatesh India 13 420 1.1× 283 0.9× 415 1.9× 184 1.6× 64 0.6× 29 773
Hongxiang Fan China 14 331 0.9× 209 0.7× 280 1.3× 48 0.4× 43 0.4× 40 606
Meriame Mohajane Morocco 14 480 1.3× 302 1.0× 218 1.0× 74 0.6× 165 1.6× 19 828
Danrong Zhang China 17 395 1.1× 245 0.8× 392 1.8× 104 0.9× 44 0.4× 42 746
Narayan Kayet India 11 275 0.7× 267 0.8× 98 0.4× 143 1.2× 62 0.6× 20 563
Dinh Quoc Nguyen Vietnam 13 467 1.3× 163 0.5× 98 0.4× 91 0.8× 78 0.8× 31 782
Tamal Kanti Saha India 18 608 1.6× 242 0.8× 285 1.3× 87 0.8× 123 1.2× 39 851

Countries citing papers authored by Omid Asadi Nalivan

Since Specialization
Citations

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

Fields of papers citing papers by Omid Asadi Nalivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Asadi Nalivan

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Asadi Nalivan. A scholar is included among the top collaborators of Omid Asadi Nalivan 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 Asadi Nalivan. Omid Asadi Nalivan 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.
Liu, Guoqing, Alireza Arabameri, M. Santosh, & Omid Asadi Nalivan. (2023). Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios. Environmental Science and Pollution Research. 30(16). 46979–46996. 9 indexed citations
2.
Mehrabi, Mohammad, et al.. (2023). Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network. Environmental Earth Sciences. 82(20). 11 indexed citations
3.
Nalivan, Omid Asadi, et al.. (2022). A step beyond susceptibility: an adaptation of risk framework for monetary risk estimation of gully erosion. Natural Hazards. 111(2). 1661–1684. 2 indexed citations
4.
Nalivan, Omid Asadi, et al.. (2022). A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran. Stochastic Environmental Research and Risk Assessment. 37(5). 1821–1838. 13 indexed citations
5.
Arabameri, Alireza, M. Santosh, Hossein Moayedi, et al.. (2022). Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment. Arabian Journal of Geosciences. 15(10). 5 indexed citations
6.
Arabameri, Alireza, Subodh Chandra Pal, Fatemeh Rezaie, et al.. (2021). Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques. Journal of Hydrology Regional Studies. 36. 100848–100848. 90 indexed citations
7.
8.
Arabameri, Alireza, Saro Lee, Fatemeh Rezaie, et al.. (2021). Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping. Frontiers in Earth Science. 9. 22 indexed citations
9.
Arabameri, Alireza, Aman Arora, Subodh Chandra Pal, et al.. (2021). K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling. Water Resources Management. 35(6). 1837–1869. 22 indexed citations
10.
Nalivan, Omid Asadi, et al.. (2020). Identification of Groundwater Potential Zones using Geographic Information System and Analytical Hierarchy Process (AHP) (Case Study: Hable-rud River Basin-Iran). Journal of watershed management research. 11(21). 36–47. 1 indexed citations
11.
Rahmati, Omid, Mahmood Samadi, Zahra Kalantari, et al.. (2020). TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency. Journal of Cleaner Production. 266. 122051–122051. 11 indexed citations
12.
Rahmati, Omid, Farnoush Mohammadi, John P. Tiefenbacher, et al.. (2020). Identifying sources of dust aerosol using a new framework based on remote sensing and modelling. The Science of The Total Environment. 737. 139508–139508. 45 indexed citations
13.
Ali, Arshad, et al.. (2020). Environmental filtering, predominance of strong competitor trees and exclusion of moderate-weak competitor trees shape species richness and biomass. The Science of The Total Environment. 723. 138105–138105. 9 indexed citations
14.
Arabameri, Alireza, Omid Asadi Nalivan, Subodh Chandra Pal, et al.. (2020). Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility. Remote Sensing. 12(17). 2833–2833. 73 indexed citations
15.
Arabameri, Alireza, Omid Asadi Nalivan, Sunil Saha, et al.. (2020). Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility. Remote Sensing. 12(11). 1890–1890. 49 indexed citations
16.
Moghaddam, Davoud Davoudi, Omid Rahmati, Mahdi Panahi, et al.. (2019). The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers. CATENA. 187. 104421–104421. 106 indexed citations
17.
18.
Rahmati, Omid, Zahra Kalantari, Mahmood Samadi, et al.. (2019). GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors. Sustainability. 11(20). 5639–5639. 74 indexed citations
19.
Ali, Arshad, et al.. (2019). Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests. The Science of The Total Environment. 706. 135719–135719. 42 indexed citations
20.
Rahmati, Omid, Hamid Darabi, Ali Torabi Haghighi, et al.. (2019). Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network. Water. 11(11). 2370–2370. 51 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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