Alex Martynenko

4.8k total citations · 2 hit papers
119 papers, 3.6k citations indexed

About

Alex Martynenko is a scholar working on Food Science, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Alex Martynenko has authored 119 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Food Science, 27 papers in Electrical and Electronic Engineering and 27 papers in Plant Science. Recurrent topics in Alex Martynenko's work include Food Drying and Modeling (42 papers), Aerosol Filtration and Electrostatic Precipitation (25 papers) and Electrohydrodynamics and Fluid Dynamics (23 papers). Alex Martynenko is often cited by papers focused on Food Drying and Modeling (42 papers), Aerosol Filtration and Electrostatic Precipitation (25 papers) and Electrohydrodynamics and Fluid Dynamics (23 papers). Alex Martynenko collaborates with scholars based in Canada, Russia and Switzerland. Alex Martynenko's co-authors include Tadeusz Kudra, N.N. Misra, Seyed‐Hassan Miraei Ashtiani, Yougui Chen, Thijs Defraeye, Manreet Bhullar, Rohit Upadhyay, Yash Dixit, Ahmad Al-Mallahi and Weiwei Zheng and has published in prestigious journals such as Journal of Cleaner Production, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Alex Martynenko

112 papers receiving 3.5k citations

Hit Papers

IoT, Big Data, and Artificial Intelligence in Agriculture... 2020 2026 2022 2024 2020 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Martynenko Canada 32 1.6k 1.0k 585 449 420 119 3.6k
Arun S. Mujumdar Canada 48 2.0k 1.2× 506 0.5× 760 1.3× 280 0.6× 197 0.5× 255 7.3k
Thijs Defraeye Switzerland 46 2.4k 1.5× 1.7k 1.7× 374 0.6× 195 0.4× 433 1.0× 186 6.5k
Harish Sharma India 36 2.2k 1.3× 955 0.9× 161 0.3× 310 0.7× 161 0.4× 215 4.5k
I. Sam Saguy Israel 40 2.4k 1.5× 980 1.0× 123 0.2× 401 0.9× 306 0.7× 113 4.7k
G. S. V. Raghavan Canada 48 3.2k 2.0× 1.3k 1.3× 523 0.9× 935 2.1× 387 0.9× 200 6.8k
Morteza Sadeghi Iran 29 725 0.4× 474 0.5× 202 0.3× 178 0.4× 223 0.5× 112 2.4k
Jian Tang China 39 810 0.5× 1.3k 1.3× 618 1.1× 122 0.3× 520 1.2× 337 5.6k
Z.B. Maroulis Greece 49 5.4k 3.3× 1.7k 1.7× 360 0.6× 562 1.3× 406 1.0× 128 7.6k
N.N. Misra United States 46 2.0k 1.2× 1.3k 1.2× 1.4k 2.4× 2.0k 4.4× 386 0.9× 82 7.7k
Jorge C. Oliveira Ireland 34 1.6k 1.0× 810 0.8× 63 0.1× 543 1.2× 361 0.9× 138 3.7k

Countries citing papers authored by Alex Martynenko

Since Specialization
Citations

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

Fields of papers citing papers by Alex Martynenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Martynenko

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Martynenko. A scholar is included among the top collaborators of Alex Martynenko 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 Alex Martynenko. Alex Martynenko 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.
Martynenko, Alex. (2025). EHD-induced mass transfer from wet materials. Journal of Electrostatics. 137. 104075–104075. 1 indexed citations
2.
López‐Ortiz, Anabel, et al.. (2023). Energy analysis of drying basil (Ocimum basilicum) leaves in an active greenhouse solar dryer. Journal of Food Process Engineering. 46(3). 8 indexed citations
3.
Aluko, Rotimi E., et al.. (2023). Yellow Field Pea Protein (Pisum sativum L.): Extraction Technologies, Functionalities, and Applications. Foods. 12(21). 3978–3978. 30 indexed citations
5.
Martynenko, Alex, et al.. (2022). Electrohydrodynamic drying of fruit slices: Effect on drying kinetics, energy consumption, and product quality. Journal of Food Processing and Preservation. 46(10). 11 indexed citations
6.
Ashtiani, Seyed‐Hassan Miraei, et al.. (2022). Cold plasma pretreatment improves the quality and nutritional value of ultrasound-assisted convective drying: The case of goldenberry. Drying Technology. 40(8). 1639–1657. 76 indexed citations
7.
Raghavan, Vijaya, Alex Martynenko, & Shivanand S. Shirkole. (2022). Role of drying in food quality, security, and sustainability. Drying Technology. 40(8). 1499–1499. 9 indexed citations
8.
Martynenko, Alex, et al.. (2021). Electrohydrodynamic drying: Effects on food quality. Drying Technology. 39(11). 1745–1761. 13 indexed citations
9.
Iranshahi, Kamran, Daniel Onwude, Alex Martynenko, & Thijs Defraeye. (2021). Dehydration mechanisms in electrohydrodynamic drying of plant-based foods. Food and Bioproducts Processing. 131. 202–216. 21 indexed citations
10.
Onwude, Daniel, et al.. (2021). Scaling-up electrohydrodynamic drying for energy-efficient food drying via physics-based simulations. Journal of Cleaner Production. 329. 129690–129690. 17 indexed citations
11.
Onwude, Daniel, et al.. (2021). How much do process parameters affect the residual quality attributes of dried fruits and vegetables for convective drying?. Food and Bioproducts Processing. 131. 176–190. 23 indexed citations
12.
Misra, N.N., et al.. (2020). Drying of cannabis—state of the practices and future needs. Drying Technology. 39(14). 2055–2064. 36 indexed citations
13.
Defraeye, Thijs, et al.. (2020). Electrohydrodynamic Drying of Plant-Based Foods and Food Model Systems. Food Engineering Reviews. 12(4). 473–497. 34 indexed citations
14.
Martynenko, Alex, et al.. (2019). Electrically enhanced drying of white champignons. Drying Technology. 39(2). 234–244. 27 indexed citations
15.
Martynenko, Alex & N.N. Misra. (2019). Machine learning in drying. Drying Technology. 38(5-6). 596–609. 64 indexed citations
16.
Kudra, Tadeusz & Alex Martynenko. (2019). Electrohydrodynamic drying: Theory and experimental validation. Drying Technology. 38(1-2). 168–175. 19 indexed citations
17.
López‐Ortiz, Anabel, Juan Rodríguez‐Ramírez, Lilia Leticia Méndez‐Lagunas, Alex Martynenko, & Isaac Pilatowsky Figueroa. (2018). Non-isothermal drying of garlic slices (Allium sativum, L.): Wave period and initial temperature of the heating/cooling effect. Food and Bioproducts Processing. 111. 83–92. 8 indexed citations
18.
Misra, N.N., et al.. (2018). A microscopic computer vision algorithm for autonomous bubble detection in aerated complex liquids. Journal of Food Engineering. 238. 54–60. 6 indexed citations
19.
Misra, N.N., Alex Martynenko, Farid Chemat, et al.. (2017). Thermodynamics, transport phenomena, and electrochemistry of external field-assisted nonthermal food technologies. Critical Reviews in Food Science and Nutrition. 58(11). 1832–1863. 118 indexed citations
20.
Martynenko, Alex. (2017). Artificial intelligence: Is it a good fit for drying?. Drying Technology. 36(8). 891–892. 14 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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