Reza Asheghi

499 total citations
10 papers, 434 citations indexed

About

Reza Asheghi is a scholar working on Ecology, Mechanics of Materials and Water Science and Technology. According to data from OpenAlex, Reza Asheghi has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 4 papers in Mechanics of Materials and 4 papers in Water Science and Technology. Recurrent topics in Reza Asheghi's work include Hydrology and Sediment Transport Processes (4 papers), Rock Mechanics and Modeling (4 papers) and Hydrology and Watershed Management Studies (4 papers). Reza Asheghi is often cited by papers focused on Hydrology and Sediment Transport Processes (4 papers), Rock Mechanics and Modeling (4 papers) and Hydrology and Watershed Management Studies (4 papers). Reza Asheghi collaborates with scholars based in Iran and United States. Reza Asheghi's co-authors include Abbas Abbaszadeh Shahri, Seyed Abbas Hosseini, Mojtaba Saneie, Hossein Ali Khonakdar, Farkhondeh Hemmati, Seyed Rasoul Mousavi, Ali Sharifi and Hassan Ahmadi and has published in prestigious journals such as International Journal of Biological Macromolecules, Neural Computing and Applications and Hydrological Sciences Journal.

In The Last Decade

Reza Asheghi

10 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reza Asheghi Iran	8	130	119	81	73	59	10	434
Peixi Yang China	9	209 1.6×	185 1.6×	66 0.8×	159 2.2×	84 1.4×	11	550
Chen Li China	14	69 0.5×	115 1.0×	66 0.8×	92 1.3×	29 0.5×	107	735
Bishwajit Roy India	14	270 2.1×	134 1.1×	140 1.7×	129 1.8×	86 1.5×	21	657
Shuhong Wang China	13	228 1.8×	131 1.1×	39 0.5×	58 0.8×	97 1.6×	54	524
Andrew J. Hill Australia	12	153 1.2×	79 0.7×	34 0.4×	70 1.0×	40 0.7×	37	551
Jun Kang Chow Hong Kong	10	339 2.6×	59 0.5×	86 1.1×	68 0.9×	27 0.5×	24	582
Wan Amizah Wan Jusoh Malaysia	7	318 2.4×	118 1.0×	52 0.6×	121 1.7×	167 2.8×	17	613
Tengfei Bao China	16	518 4.0×	65 0.5×	45 0.6×	74 1.0×	69 1.2×	32	678
Quang Hung Nguyen Vietnam	5	209 1.6×	28 0.2×	83 1.0×	52 0.7×	32 0.5×	10	574

Countries citing papers authored by Reza Asheghi

Since Specialization

Citations

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

Fields of papers citing papers by Reza Asheghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Asheghi

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

All Works

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10 of 10 papers shown

Asheghi, Reza, et al.. (2025). A new enhanced grey wolf optimizer to improve geospatially subsurface analyses. Modeling Earth Systems and Environment. 11(2). 2 indexed citations

Sharifi, Ali, et al.. (2023). Extruded biocomposite films based on poly(lactic acid)/chemically-modified agricultural waste: Tailoring interface to enhance performance. International Journal of Biological Macromolecules. 233. 123517–123517. 14 indexed citations

Shahri, Abbas Abbaszadeh, et al.. (2021). Automated intelligent hybrid computing schemes to predict blasting induced ground vibration. Engineering With Computers. 38(S4). 3335–3349. 41 indexed citations

Hosseini, Seyed Abbas, Abbas Abbaszadeh Shahri, & Reza Asheghi. (2021). Prediction of bedload transport rate using a block combined network structure. Hydrological Sciences Journal. 67(1). 117–128. 43 indexed citations

Asheghi, Reza, et al.. (2021). Intelligent hybridized modeling approach to predict the bedload sediments in gravel-bed rivers. Modeling Earth Systems and Environment. 8(2). 1991–2000. 4 indexed citations

Shahri, Abbas Abbaszadeh, et al.. (2020). A hybridized intelligence model to improve the predictability level of strength index parameters of rocks. Neural Computing and Applications. 33(8). 3841–3854. 39 indexed citations

Asheghi, Reza, Seyed Abbas Hosseini, Mojtaba Saneie, & Abbas Abbaszadeh Shahri. (2020). Updating the neural network sediment load models using different sensitivity analysis methods: a regional application. Journal of Hydroinformatics. 22(3). 562–577. 157 indexed citations

Asheghi, Reza & Seyed Abbas Hosseini. (2020). Prediction of bed load sediments using different artificial neural network models. Frontiers of Structural and Civil Engineering. 14(2). 374–386. 21 indexed citations

Asheghi, Reza, et al.. (2019). Prediction of Uniaxial Compressive Strength of Different Quarried Rocks Using Metaheuristic Algorithm. Arabian Journal for Science and Engineering. 44(10). 8645–8659. 65 indexed citations

10.

Shahri, Abbas Abbaszadeh & Reza Asheghi. (2018). Optimized developed artificial neural network-based models to predict the blast-induced ground vibration. Innovative Infrastructure Solutions. 3(1). 48 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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