Amir Mosavi

934 total citations · 2 hit papers
20 papers, 509 citations indexed

About

Amir Mosavi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering. According to data from OpenAlex, Amir Mosavi has authored 20 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Control and Systems Engineering. Recurrent topics in Amir Mosavi's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and COVID-19 epidemiological studies (2 papers). Amir Mosavi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and COVID-19 epidemiological studies (2 papers). Amir Mosavi collaborates with scholars based in Hungary, Slovakia and Germany. Amir Mosavi's co-authors include Muhammad Adnan Khan, Shahab S. Band, Md. Razaul Karim, Md. Saikat Islam Khan, Sagheer Abbas, Abdollah Dehzangi, Tanoy Debnath, Mostofa Kamal Nasir, Anichur Rahman and Taher M. Ghazal and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Sustainability.

In The Last Decade

Amir Mosavi

18 papers receiving 481 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate brain tumor detection using deep convolutional neural network

2022 181 citations Md. Saikat Islam Khan, Anichur Rahman et al. Computational and Structural Biotechnology Journal profile →
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

2022 120 citations Abdur Rehman, Sagheer Abbas et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Mosavi Hungary	10	200	172	115	106	74	20	509
Tamanna Siddiqui India	9	152 0.8×	63 0.4×	103 0.9×	101 1.0×	68 0.9×	33	506
Nouf Abdullah Almujally Saudi Arabia	14	166 0.8×	61 0.4×	237 2.1×	80 0.8×	24 0.3×	65	599
Laxman Singh India	13	154 0.8×	40 0.2×	186 1.6×	129 1.2×	26 0.4×	52	481
Velmurugan Subbiah Parvathy India	10	88 0.4×	44 0.3×	126 1.1×	64 0.6×	75 1.0×	34	427
Bayan Alabduallah Saudi Arabia	8	142 0.7×	41 0.2×	144 1.3×	81 0.8×	25 0.3×	25	474
R. Manjula Devi India	12	157 0.8×	22 0.1×	72 0.6×	71 0.7×	36 0.5×	41	390
Amin Alqudah Jordan	14	138 0.7×	22 0.1×	112 1.0×	129 1.2×	32 0.4×	32	413
Grace Ugochi Nneji China	14	236 1.2×	42 0.2×	118 1.0×	263 2.5×	15 0.2×	45	477
Suane Pires P. da Silva Brazil	7	91 0.5×	47 0.3×	72 0.6×	150 1.4×	18 0.2×	11	336
Vipul Narayan India	11	104 0.5×	30 0.2×	74 0.6×	78 0.7×	30 0.4×	22	452

Countries citing papers authored by Amir Mosavi

Since Specialization

Citations

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

Fields of papers citing papers by Amir Mosavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Mosavi

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Mosavi. A scholar is included among the top collaborators of Amir Mosavi 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 Amir Mosavi. Amir Mosavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ardabili, Sina, et al.. (2025). Service Life Modeling of Pavement with Ensemble Learning. 167–174.

Fathollahi, Arman, et al.. (2024). Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation. IEEE Access. 12. 13146–13164. 12 indexed citations

Rasekh, Mansour, et al.. (2024). Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period. Acta Technologica Agriculturae. 27(4). 187–193. 2 indexed citations

Mosavi, Amir, et al.. (2024). Deep Learning for Detecting Building Defects. 289–296. 1 indexed citations

Mosavi, Amir, et al.. (2024). Syllabus Design and Planning with Artificial Intelligence and the Potential of Generative AI. 257–264. 1 indexed citations

Soltani, M., et al.. (2023). Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning. 739–744. 1 indexed citations

Abbas, Sagheer, et al.. (2022). A Fused Machine Learning Approach for Intrusion Detection System. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 2607–2623. 18 indexed citations

Rezapour, Shahram, et al.. (2022). A study on a special case of the Sturm-Liouville equation using the Mittag-Leffler function and a new type of contraction. AIMS Mathematics. 7(10). 18253–18279. 6 indexed citations

Rabiee, Amir Hossein, et al.. (2022). Predicting the energy and exergy performance of F135 PW100 turbofan engine via deep learning approach. Energy Conversion and Management. 265. 115775–115775. 17 indexed citations

10.

Khan, Md. Saikat Islam, Anichur Rahman, Tanoy Debnath, et al.. (2022). Accurate brain tumor detection using deep convolutional neural network. Computational and Structural Biotechnology Journal. 20. 4733–4745. 181 indexed citations breakdown →

11.

Ramana, Kadiyala, et al.. (2022). A Neural Network and Optimization Based Lung Cancer Detection System in CT Images. Frontiers in Public Health. 10. 769692–769692. 21 indexed citations

12.

Danyali, Saeed, Mohammadamin Shirkhani, Rahmat Aazami, et al.. (2022). A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems. Sustainability. 14(18). 11731–11731. 28 indexed citations

13.

Rehman, Abdur, Sagheer Abbas, Muhammad Adnan Khan, et al.. (2022). A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique. Computers in Biology and Medicine. 150. 106019–106019. 120 indexed citations breakdown →

14.

Sor, Nadhim Hamah, et al.. (2022). The behavior of sustainable self-compacting concrete reinforced with low-density waste Polyethylene fiber. Materials Research Express. 9(3). 35501–35501. 29 indexed citations

15.

Rahman, Atta, et al.. (2022). Breast Cancer Detection and Classification Empowered With Transfer Learning. Frontiers in Public Health. 10. 924432–924432. 50 indexed citations

16.

Khan, Muhammad Bilal, et al.. (2022). Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization. Mathematical Biosciences & Engineering. 19(8). 7978–8002. 14 indexed citations

17.

Mohammadzadeh, Ardashir, et al.. (2022). Taylor Series-Based Fuzzy Model Predictive Control for Wheeled Robots. Mathematics. 10(14). 2498–2498. 5 indexed citations

18.

Ardabili, Sina, et al.. (2020). Building Energy information: demand and consumption prediction with Machine Learning models for sustainable and smart cities. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

19.

Sedaghat, Ahmad R., et al.. (2020). Modeling and Sensitivity Analysis of Coronavirus Disease (COVID-19) Outbreak Prediction. SSRN Electronic Journal. 1 indexed citations

20.

Mosavi, Amir & Ahmad R. Sedaghat. (2020). Predicting COVID-19 (Coronavirus Disease) Outbreak Dynamics Using SIR-based Models: Comparative Analysis of SIRD and Weibull-SIRD. SSRN Electronic Journal.

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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