M. Esna-Ashari

739 total citations
44 papers, 586 citations indexed

About

M. Esna-Ashari is a scholar working on Plant Science, Food Science and Analytical Chemistry. According to data from OpenAlex, M. Esna-Ashari has authored 44 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 17 papers in Food Science and 9 papers in Analytical Chemistry. Recurrent topics in M. Esna-Ashari's work include Food Drying and Modeling (10 papers), Postharvest Quality and Shelf Life Management (10 papers) and Plant Physiology and Cultivation Studies (9 papers). M. Esna-Ashari is often cited by papers focused on Food Drying and Modeling (10 papers), Postharvest Quality and Shelf Life Management (10 papers) and Plant Physiology and Cultivation Studies (9 papers). M. Esna-Ashari collaborates with scholars based in Iran, United Kingdom and Portugal. M. Esna-Ashari's co-authors include Reza Amiri Chayjan, Ahmad Ershadi, Jafar Amiri Parian, Mansour Gholami, Omid Karami, Zahra Izadi, Hassan Sarikhani, Asghar Mirzaie-Asl, Khosro Piri and Javad Hadian and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and Scientia Horticulturae.

In The Last Decade

M. Esna-Ashari

40 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Esna-Ashari Iran 15 431 201 127 103 45 44 586
Milind S. Ladaniya India 12 524 1.2× 191 1.0× 117 0.9× 157 1.5× 19 0.4× 33 719
Ivi Chakraborty India 13 266 0.6× 163 0.8× 70 0.6× 79 0.8× 27 0.6× 36 449
Shaobo Cheng China 16 377 0.9× 214 1.1× 140 1.1× 112 1.1× 24 0.5× 31 586
Yuxing Liu China 13 337 0.8× 196 1.0× 122 1.0× 95 0.9× 16 0.4× 40 545
E. Dambrauskienė Lithuania 11 329 0.8× 258 1.3× 98 0.8× 139 1.3× 16 0.4× 27 527
T.M.M. Malundo United States 9 535 1.2× 223 1.1× 103 0.8× 135 1.3× 19 0.4× 15 714
A. Klieber Australia 15 492 1.1× 176 0.9× 63 0.5× 96 0.9× 23 0.5× 38 605
Zhicheng Yan China 12 348 0.8× 144 0.7× 113 0.9× 110 1.1× 31 0.7× 24 478
Minrui Guo China 18 559 1.3× 258 1.3× 207 1.6× 140 1.4× 25 0.6× 40 792
A.M. El-Gizawy Egypt 11 318 0.7× 101 0.5× 67 0.5× 119 1.2× 33 0.7× 15 435

Countries citing papers authored by M. Esna-Ashari

Since Specialization
Citations

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

Fields of papers citing papers by M. Esna-Ashari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Esna-Ashari. 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 M. Esna-Ashari. The network helps show where M. Esna-Ashari may publish in the future.

Co-authorship network of co-authors of M. Esna-Ashari

This figure shows the co-authorship network connecting the top 25 collaborators of M. Esna-Ashari. A scholar is included among the top collaborators of M. Esna-Ashari 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 M. Esna-Ashari. M. Esna-Ashari 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.
Esna-Ashari, M., Mohsen Ansari, & Alireza Ejlali. (2025). DReaM: Deep Reinforcement Learning for Joint Reliability and Power Management in Multicore IoT Devices. IEEE Internet of Things Journal. 12(24). 54509–54522.
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Esna-Ashari, M., et al.. (2016). Genetic diversity of some Iranian sweet cherry (Prunus avium) cultivars using microsatellite markers and morphological traits. Cytology and Genetics. 50(1). 8–19. 14 indexed citations
5.
Esna-Ashari, M., et al.. (2016). The Effect of Zinc Nutrition on Two Olive (Olea europaea L.) Cultivars Components and Alleviate Oxidative Damage in Salinity Conditions. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Izadi, Zahra, et al.. (2014). Investigation on antimicrobial effects of essential oil of purple coneflower (Echinacea purpurea L.) and identification of its chemical compounds. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Gholami, Mansour, et al.. (2013). Abscisic acid-mediated leaf phenolic compounds, plant growth and yield is strawberry under different salt stress regimes. Theoretical and Experimental Plant Physiology. 25(4). 291–299. 23 indexed citations
8.
Izadi, Zahra, et al.. (2013). Determining Chemical Composition and Antimicrobial Activity of Feverfew (Tanacetum parthenium L.) Essential Oil on some Microbial Strains. 15(6). 8–13. 8 indexed citations
9.
Banejad, Hossein, et al.. (2013). ASSESSMENT OF THE INTERACTION OF MAGNETIC WATER AND SALINITY ON YIELD AND COMPONENTS OF BASIL PLANT. 7(2). 178–183.
10.
Chayjan, Reza Amiri & M. Esna-Ashari. (2011). Effect of moisture content on thermodynamic characteristics of grape: mathematical and artificial neural network modelling. Czech Journal of Food Sciences. 29(3). 250–259. 6 indexed citations
11.
Chayjan, Reza Amiri, et al.. (2011). Influence of drying conditions on diffusivity, energy and color of seedless grape after dipping process. Australian Journal of Crop Science. 5(1). 96–103. 21 indexed citations
12.
Chayjan, Reza Amiri, Jafar Amiri Parian, & M. Esna-Ashari. (2011). Modeling of moisture diffusivity, activation energy and specific energy consumption of high moisture corn in a fixed and fluidized bed convective dryer. Spanish Journal of Agricultural Research. 9(1). 28–40. 54 indexed citations
13.
Chayjan, Reza Amiri & M. Esna-Ashari. (2010). Comparison between mathematical models and artificial neural networks for prediction of sorption isotherm in rough rice. International Agrophysics. 24(1). 1–7. 5 indexed citations
14.
Chayjan, Reza Amiri, et al.. (2010). Mathematical modelling of corn thermodynamic properties for desorption energy estimation. International Agrophysics. 24(3). 213–218. 5 indexed citations
15.
Izadi, Zahra, et al.. (2010). Chemical composition and antimicrobial activity of feverfew (Tanacetum parthenium) essential oil. International Journal of Agriculture and Biology. 12(5). 759–763. 29 indexed citations
16.
Esna-Ashari, M. & Mansour Gholami. (2010). The effect of increased chloride (Cl-) content in nutrient solution on yield and quality of strawberry (Fragaria ananassa Duch.) fruits.. Journal of Fruit and Ornamental Plant Research. 18(1). 37–44. 11 indexed citations
17.
Esna-Ashari, M., et al.. (2010). Effect of salinity on some gas exchange characteristics of grape (Vitis vinifera) cultivars.. International Journal of Agriculture and Biology. 12(2). 308–310. 5 indexed citations
18.
Izadi, Zahra, et al.. (2009). Chemical Composition and Antibacterial Activity of the Essence oil of Peppermint (Mentha piperita L). SHILAP Revista de lepidopterología. 4 indexed citations
19.
Esna-Ashari, M., et al.. (2008). Effect of Putrescine Application on Post-Harvest Life and Physiology of Strawberry, Apricot, Peach and Sweet Cherry Fruits. 12(45). 219–230. 17 indexed citations
20.
Esna-Ashari, M., et al.. (2008). Analysis of trans-Resveratrol in Iranian Grape Cultivars by LC. Chromatographia. 67(11-12). 1017–1020. 7 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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