Mohammad Kaveh

3.3k total citations
112 papers, 2.7k citations indexed

About

Mohammad Kaveh is a scholar working on Food Science, Plant Science and Biotechnology. According to data from OpenAlex, Mohammad Kaveh has authored 112 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Food Science, 36 papers in Plant Science and 24 papers in Biotechnology. Recurrent topics in Mohammad Kaveh's work include Food Drying and Modeling (81 papers), Microbial Inactivation Methods (24 papers) and Freezing and Crystallization Processes (22 papers). Mohammad Kaveh is often cited by papers focused on Food Drying and Modeling (81 papers), Microbial Inactivation Methods (24 papers) and Freezing and Crystallization Processes (22 papers). Mohammad Kaveh collaborates with scholars based in Iran, Poland and Iraq. Mohammad Kaveh's co-authors include Yousef Abbaspour‐Gilandeh, Ebrahim Taghinezhad, Reza Amiri Chayjan, Ahmad Jahanbakhshi, Vali Rasooli Sharabiani, Esmail Khalife, Iman Golpour, Małgorzata Nowacka, Mariusz Szymanek and Hamed Karami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Mohammad Kaveh

108 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Kaveh Iran 32 1.8k 607 568 435 382 112 2.7k
Daniel Onwude Nigeria 26 1.7k 0.9× 655 1.1× 452 0.8× 346 0.8× 185 0.5× 78 2.5k
Javier Telis‐Romero Brazil 34 2.2k 1.2× 646 1.1× 402 0.7× 386 0.9× 249 0.7× 165 3.5k
Mohammad Hadi Khoshtaghaza Iran 24 1.0k 0.6× 790 1.3× 281 0.5× 284 0.7× 482 1.3× 84 2.4k
Vijaya Raghavan Canada 32 1.6k 0.9× 973 1.6× 473 0.8× 430 1.0× 257 0.7× 183 3.5k
M.A. Garcı́a-Alvarado Mexico 26 1.4k 0.8× 429 0.7× 347 0.6× 379 0.9× 192 0.5× 113 2.1k
Fılız İçıer Türkiye 35 2.2k 1.2× 662 1.1× 553 1.0× 1.4k 3.2× 350 0.9× 109 3.6k
Lı́lia Ahrné Denmark 37 2.4k 1.3× 666 1.1× 314 0.6× 513 1.2× 278 0.7× 173 3.7k
Magdalena Zielińska Poland 30 1.9k 1.0× 723 1.2× 585 1.0× 495 1.1× 159 0.4× 75 2.6k
João Borges Laurindo Brazil 40 2.4k 1.3× 847 1.4× 559 1.0× 489 1.1× 237 0.6× 164 5.6k
Rodolfo H. Mascheroni Argentina 28 1.5k 0.8× 589 1.0× 661 1.2× 340 0.8× 256 0.7× 118 2.3k

Countries citing papers authored by Mohammad Kaveh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Kaveh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Kaveh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Kaveh. A scholar is included among the top collaborators of Mohammad Kaveh 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 Mohammad Kaveh. Mohammad Kaveh 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.
El‐Mesery, Hany S., et al.. (2025). Application of numerical analysis and machine learning techniques to improve drying performance and energy consumption of microwave-assisted convective dryer. Results in Engineering. 27. 106059–106059. 2 indexed citations
2.
Kaveh, Mohammad, Yousef Abbaspour‐Gilandeh, Małgorzata Nowacka, et al.. (2024). Energy and exergy analysis of drying terebinth in a far infrared‐rotary dryer using response surface methodology. Heat Transfer. 53(8). 4109–4134. 4 indexed citations
3.
Sani, Iraj Karimi, Mohammad Kaveh, Mahmood Alizadeh Sani, et al.. (2024). Pulsed electric field-assisted extraction of natural colorants; principles and applications. Food Bioscience. 61. 104746–104746. 10 indexed citations
4.
5.
Khalife, Esmail, et al.. (2024). Recent Advances in the Application of Agricultural Waste in Construction. Applied Sciences. 14(6). 2355–2355. 19 indexed citations
6.
7.
Adekanye, Timothy A., et al.. (2023). Drying Characteristics, Kinetic Modeling, Energy and Exergy Analyses of Water Yam (Dioscorea alata) in a Hot Air Dryer. Energies. 16(4). 1569–1569. 14 indexed citations
8.
Samuel, Olusegun David, Mohammad Kaveh, Fidelis I. Abam, et al.. (2023). Neem-castor seed oil esterification modelling: Comparison of RSM and ANFIS. Materials Today Proceedings. 15 indexed citations
9.
Karami, Hamed, Larisa Lvova, Grzegorz Łagód, et al.. (2023). Environmental Engineering Applications of Electronic Nose Systems Based on MOX Gas Sensors. Sensors. 23(12). 5716–5716. 48 indexed citations
10.
Karami, Hamed, Iman Golpour, Mohammad Kaveh, et al.. (2022). Modeling and Optimization of Energy and Exergy Parameters of a Hybrid-Solar Dryer for Basil Leaf Drying Using RSM. Sustainability. 14(14). 8839–8839. 34 indexed citations
11.
12.
Taghinezhad, Ebrahim, Mohammad Kaveh, & Antoni Szumny. (2021). Optimization and Prediction of the Drying and Quality of Turnip Slices by Convective-Infrared Dryer under Various Pretreatments by RSM and ANFIS Methods. Foods. 10(2). 284–284. 42 indexed citations
13.
Karami, Hamed, Mohammad Kaveh, Iman Golpour, et al.. (2021). Thermodynamic Evaluation of the Forced Convective Hybrid-Solar Dryer during Drying Process of Rosemary (Rosmarinus officinalis L.) Leaves. Energies. 14(18). 5835–5835. 24 indexed citations
14.
Taghinezhad, Ebrahim, Mohammad Kaveh, & Antoni Szumny. (2021). Thermodynamic and Quality Performance Studies for Drying Kiwi in Hybrid Hot Air-Infrared Drying with Ultrasound Pretreatment. Applied Sciences. 11(3). 1297–1297. 29 indexed citations
15.
Taghinezhad, Ebrahim, Antoni Szumny, Mohammad Kaveh, et al.. (2020). Parboiled Paddy Drying with Different Dryers: Thermodynamic and Quality Properties, Mathematical Modeling Using ANNs Assessment. Foods. 9(1). 86–86. 24 indexed citations
16.
17.
Taghinezhad, Ebrahim, Mohammad Kaveh, Esmail Khalife, & Guangnan Chen. (2020). Drying of organic blackberry in combined hot air-infrared dryer with ultrasound pretreatment. Drying Technology. 39(14). 2075–2091. 52 indexed citations
18.
Taghinezhad, Ebrahim, Vali Rasooli Sharabiani, & Mohammad Kaveh. (2019). Modeling and Optimization of Hybrid HIR Drying Variables for Processing of Parboiled Paddy Using Response Surface Methodology. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Kaveh, Mohammad, Reza Amiri Chayjan, Ebrahim Taghinezhad, et al.. (2018). Modeling of thermodynamic properties of carrot product using ALO, GWO, and WOA algorithms under multi-stage semi-industrial continuous belt dryer. Engineering With Computers. 35(3). 1045–1058. 17 indexed citations
20.
Chayjan, Reza Amiri, et al.. (2017). Optimization of Pistachio Nut Drying in a Fluidized Bed Dryer with Microwave Pretreatment Applying Response Surface Methodology. Chemical Product and Process Modeling. 12(3). 13 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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