Navid Razmjooy

6.1k total citations
87 papers, 4.1k citations indexed

About

Navid Razmjooy is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Navid Razmjooy has authored 87 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 19 papers in Artificial Intelligence and 16 papers in Control and Systems Engineering. Recurrent topics in Navid Razmjooy's work include Fuel Cells and Related Materials (11 papers), AI in cancer detection (9 papers) and Electrocatalysts for Energy Conversion (8 papers). Navid Razmjooy is often cited by papers focused on Fuel Cells and Related Materials (11 papers), AI in cancer detection (9 papers) and Electrocatalysts for Energy Conversion (8 papers). Navid Razmjooy collaborates with scholars based in Iran, China and India. Navid Razmjooy's co-authors include Mehdi Ramezani, Fatima Rashid Sheykhahmad, Kittisak Jermsittiparsert, B. Somayeh Mousavi, Fazlollah Soleymani, Payman Moallem, Zhi Yuan, Mohsen Ashourian, Guiju Zhang and Caiyuan Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy.

In The Last Decade

Navid Razmjooy

85 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Navid Razmjooy Iran 39 1.5k 1.2k 613 586 562 87 4.1k
Kaamran Raahemifar Canada 38 2.2k 1.5× 451 0.4× 808 1.3× 419 0.7× 375 0.7× 246 6.2k
Hossam M. Zawbaa Egypt 38 1.2k 0.8× 2.1k 1.7× 831 1.4× 710 1.2× 442 0.8× 104 5.1k
Diego Oliva Mexico 49 1.3k 0.9× 4.6k 3.7× 717 1.2× 1.8k 3.0× 1.4k 2.5× 215 8.1k
Zbigniew Leonowicz Poland 35 2.5k 1.6× 517 0.4× 1.3k 2.1× 171 0.3× 285 0.5× 250 4.4k
Khursheed Aurangzeb Saudi Arabia 28 1.3k 0.8× 581 0.5× 439 0.7× 501 0.9× 207 0.4× 185 2.9k
Dalia Yousri Egypt 42 2.3k 1.5× 3.4k 2.7× 1.0k 1.7× 574 1.0× 1.9k 3.3× 109 6.5k
Mohamed Abouhawwash Egypt 29 808 0.5× 1.6k 1.2× 436 0.7× 571 1.0× 296 0.5× 210 3.9k
Fatma A. Hashim Egypt 24 1.1k 0.7× 2.8k 2.3× 860 1.4× 636 1.1× 191 0.3× 82 5.2k
Xuehua Zhao China 37 795 0.5× 3.5k 2.8× 429 0.7× 584 1.0× 812 1.4× 142 5.9k
Mai S. Mabrouk Egypt 18 555 0.4× 1.7k 1.4× 410 0.7× 437 0.7× 95 0.2× 103 3.6k

Countries citing papers authored by Navid Razmjooy

Since Specialization
Citations

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

Fields of papers citing papers by Navid Razmjooy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Razmjooy

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Razmjooy. A scholar is included among the top collaborators of Navid Razmjooy 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 Navid Razmjooy. Navid Razmjooy 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.
Razmjooy, Navid, et al.. (2024). Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer. Biomedical Signal Processing and Control. 96. 106616–106616. 4 indexed citations
2.
Ding, Huan, et al.. (2024). An improved version of firebug swarm optimization algorithm for optimizing Alex/ELM network kidney stone detection. Biomedical Signal Processing and Control. 99. 106898–106898. 4 indexed citations
3.
Ding, Huan, et al.. (2023). Oral cancer detection using convolutional neural network optimized by combined seagull optimization algorithm. Biomedical Signal Processing and Control. 87. 105546–105546. 42 indexed citations
4.
Yan, Chaohua & Navid Razmjooy. (2023). Kidney stone detection using an optimized Deep Believe network by fractional coronavirus herd immunity optimizer. Biomedical Signal Processing and Control. 86. 104951–104951. 23 indexed citations
5.
Ding, Huan, et al.. (2023). Optimal deep learning neural network using ISSA for diagnosing the oral cancer. Biomedical Signal Processing and Control. 84. 104749–104749. 40 indexed citations
6.
Razmjooy, Navid, et al.. (2023). Application of Multilevel Thresholding and CNN for the Diagnosis of Skin Cancer Utilizing a Multi-Agent Fuzzy Buzzard Algorithm. Biomedical Signal Processing and Control. 84. 104984–104984. 19 indexed citations
7.
Yan, Chaohua & Navid Razmjooy. (2023). Optimal lung cancer detection based on CNN optimized and improved Snake optimization algorithm. Biomedical Signal Processing and Control. 86. 105319–105319. 30 indexed citations
8.
Yadav, Kusum, Yasser Alharbi, Navid Razmjooy, et al.. (2022). Distributed Deep CNN-LSTM Model for Intrusion Detection Method in IoT-Based Vehicles. Mathematical Problems in Engineering. 2022. 1–8. 70 indexed citations
9.
Iqbal, Zeshan, et al.. (2022). A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model. Big Data. 12(5). 367–376. 27 indexed citations
10.
Razmjooy, Navid, et al.. (2021). Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm. Computational and Mathematical Methods in Medicine. 2021. 1–13. 121 indexed citations
11.
Estrela, Vania V., et al.. (2019). Health 4.0: Applications, Management, Technologies and Review. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2(4). 262–276. 55 indexed citations
12.
Iano, Yuzo, et al.. (2019). Sustainable Adoption of Connected Vehicles in the Brazilian Landscape: Policies, Technical Specifications and Challenges. SHILAP Revista de lepidopterología. 3(1). 44–44. 10 indexed citations
13.
Razmjooy, Navid & Mehdi Ramezani. (2019). Interval structure of Runge-Kutta methods for solving optimal control problems with uncertainties. Computational methods for differential equations. 7(2). 235–251. 5 indexed citations
14.
Razmjooy, Navid & Mehdi Ramezani. (2018). Optimal Control of Two-Wheeled Self-Balancing Robot with Interval Uncertainties Using Chebyshev Inclusion Method. SHILAP Revista de lepidopterología. 12(1). 13–21. 7 indexed citations
15.
Razmjooy, Navid, et al.. (2016). A New LQR Optimal Control for a Single-Link Flexible Joint Robot Manipulator Based on Grey Wolf Optimizer. SHILAP Revista de lepidopterología. 10(3). 29 indexed citations
16.
Ramezani, Mehdi, et al.. (2016). A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution. SHILAP Revista de lepidopterología. 10(4). 5 indexed citations
17.
Moallem, Payman, Navid Razmjooy, & B. Somayeh Mousavi. (2014). ROBUST POTATO COLOR IMAGE SEGMENTATION USING ADAPTIVE FUZZY INFERENCE SYSTEM. Iranian journal of fuzzy systems. 11(6). 47–65. 17 indexed citations
18.
Shayeghi, Hossein, et al.. (2013). Designing a Robust and Adaptive PID Controller for Gas Turbine Connected to the Generator. Research Journal of Applied Sciences Engineering and Technology. 5(5). 1544–1551. 13 indexed citations
19.
Razmjooy, Navid, et al.. (2013). Transmission Line Congestion Management by Specifying Optimal Placement of FACTS Devices Using Artificial Bee Colony Optimization. Research Journal of Applied Sciences Engineering and Technology. 6(23). 4350–4357.
20.
Razmjooy, Navid, B. Somayeh Mousavi, & Fazlollah Soleymani. (2012). A hybrid neural network Imperialist Competitive Algorithm for skin color segmentation. Mathematical and Computer Modelling. 57(3-4). 848–856. 49 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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