Hemad Zareiforoush

980 total citations
38 papers, 736 citations indexed

About

Hemad Zareiforoush is a scholar working on Mechanical Engineering, Plant Science and Analytical Chemistry. According to data from OpenAlex, Hemad Zareiforoush has authored 38 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 15 papers in Plant Science and 13 papers in Analytical Chemistry. Recurrent topics in Hemad Zareiforoush's work include Spectroscopy and Chemometric Analyses (13 papers), Agricultural Engineering and Mechanization (11 papers) and Soil Mechanics and Vehicle Dynamics (7 papers). Hemad Zareiforoush is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Agricultural Engineering and Mechanization (11 papers) and Soil Mechanics and Vehicle Dynamics (7 papers). Hemad Zareiforoush collaborates with scholars based in Iran, United States and Greece. Hemad Zareiforoush's co-authors include Mohammad Reza Alizadeh, Saeid Minaei, Ahmad Banakar, Bahram Hosseinzadeh Samani, Adel Bakhshipour, Iraj Bagheri, Zahra Lorigooini, Mohammad Hadi Khoshtaghaza, Hamed Tavakoli and Sajad Rostami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Fuel.

In The Last Decade

Hemad Zareiforoush

37 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hemad Zareiforoush Iran 16 267 221 205 173 153 38 736
Bagher Emadi Iran 22 375 1.4× 258 1.2× 260 1.3× 226 1.3× 227 1.5× 78 1.1k
Wenfu Wu China 17 415 1.6× 123 0.6× 120 0.6× 397 2.3× 84 0.5× 107 1.2k
Dongdong Du China 15 239 0.9× 124 0.6× 152 0.7× 118 0.7× 218 1.4× 40 703
Vali Rasooli Sharabiani Iran 16 210 0.8× 216 1.0× 100 0.5× 407 2.4× 104 0.7× 38 761
Mariusz Szymanek Poland 16 189 0.7× 110 0.5× 102 0.5× 252 1.5× 114 0.7× 94 729
Krzysztof Przybył Poland 20 164 0.6× 182 0.8× 145 0.7× 296 1.7× 119 0.8× 68 770
Yubin Lan China 20 514 1.9× 191 0.9× 77 0.4× 236 1.4× 269 1.8× 89 1.3k
G.S.V. Raghavan Canada 18 264 1.0× 262 1.2× 67 0.3× 294 1.7× 131 0.9× 47 978
Kamran Kheiralipour Iran 20 652 2.4× 483 2.2× 254 1.2× 196 1.1× 291 1.9× 66 1.3k
Seyed‐Hassan Miraei Ashtiani Iran 19 463 1.7× 223 1.0× 131 0.6× 562 3.2× 75 0.5× 25 1.1k

Countries citing papers authored by Hemad Zareiforoush

Since Specialization
Citations

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

Fields of papers citing papers by Hemad Zareiforoush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemad Zareiforoush

This figure shows the co-authorship network connecting the top 25 collaborators of Hemad Zareiforoush. A scholar is included among the top collaborators of Hemad Zareiforoush 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 Hemad Zareiforoush. Hemad Zareiforoush 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.
Zareiforoush, Hemad, et al.. (2024). Vis/NIR and FTIR spectroscopy supported by machine learning techniques to distinguish pure from impure Iranian rice varieties. International Agrophysics. 38(2). 203–212. 1 indexed citations
2.
Bakhshipour, Adel, et al.. (2023). Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics. Plant Methods. 19(1). 53–53. 11 indexed citations
3.
Bakhshipour, Adel, et al.. (2021). An overview to current status of waste generation, management and potentials for waste-to-energy (Case study: Rasht City, Iran). SHILAP Revista de lepidopterología. 5 indexed citations
4.
Zareiforoush, Hemad, et al.. (2020). Modeling and optimization of energy consumption and performance characteristics of a solar assisted fluidized bed dryer. Environmental Engineering Science. 8(4). 401–425. 1 indexed citations
5.
Bakhshipour, Adel, Hemad Zareiforoush, & Iraj Bagheri. (2020). Application of decision trees and fuzzy inference system for quality classification and modeling of black and green tea based on visual features. Journal of Food Measurement & Characterization. 14(3). 1402–1416. 30 indexed citations
6.
Khoshtaghaza, Mohammad Hadi, et al.. (2020). Identification the appearance quality of rice kernels by vision technology and neural network classifier. International Journal of Engineering & Technology. 9(1). 118–127. 3 indexed citations
7.
Bakhshipour, Adel & Hemad Zareiforoush. (2020). Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features. Plant Methods. 16(1). 153–153. 10 indexed citations
10.
Rostami, Sajad, et al.. (2018). Study of Combined Ultrasound-microwave Effect on Chemical Compositions and E. coli Count of Rose Aromatic Water.. PubMed. 17(Suppl2). 146–160. 5 indexed citations
11.
Samani, Bahram Hosseinzadeh, et al.. (2017). Artificial neural networks, genetic algorithm and response surface methods: The energy consumption of food and beverage industries in Iran. SHILAP Revista de lepidopterología. 6 indexed citations
12.
Zareiforoush, Hemad, Saeid Minaei, Mohammad Reza Alizadeh, & Ahmad Banakar. (2015). Qualitative classification of milled rice grains using computer vision and metaheuristic techniques. Journal of Food Science and Technology. 53(1). 118–131. 59 indexed citations
13.
Zareiforoush, Hemad, Saeid Minaei, Mohammad Reza Alizadeh, & Ahmad Banakar. (2015). A hybrid intelligent approach based on computer vision and fuzzy logic for quality measurement of milled rice. Measurement. 66. 26–34. 54 indexed citations
14.
Bagheri, Iraj, et al.. (2011). Rupture strength of brown rice varieties as affected by moisture content and loading rate. Australian Journal of Crop Science. 5(10). 1239–1246. 5 indexed citations
15.
Zareiforoush, Hemad, et al.. (2010). Screw Conveyors Power and Throughput Analysis during Horizontal Handling of Paddy Grains. Journal of Agricultural Science. 2(2). 13 indexed citations
16.
Zareiforoush, Hemad, et al.. (2010). Performance evaluation of screw augers in paddy grains handling. International Agrophysics. 24(4). 389–396. 6 indexed citations
17.
Zareiforoush, Hemad, et al.. (2010). Effect of crop-screw parameters on rough rice grain damage in handling with a horizontal screw conveyor.. Journal of Food Agriculture & Environment. 8(2). 494–499. 8 indexed citations
18.
Zareiforoush, Hemad, et al.. (2010). Effect of loading rate on mechanical properties of rice (Oryza sativa L.) straw. Australian Journal of Crop Science. 4(3). 190–195. 34 indexed citations
19.
Zareiforoush, Hemad, et al.. (2010). A Review of Screw Conveyors Performance Evaluation During Handling Process. 2(1). 55–63. 8 indexed citations
20.
Zareiforoush, Hemad, et al.. (2009). Effect of Moisture Content on Some Physical Properties of Paddy Grains. Research Journal of Applied Sciences Engineering and Technology. 1(3). 132–139. 43 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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