M. J. Ebadi

1.2k total citations
45 papers, 862 citations indexed

About

M. J. Ebadi is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, M. J. Ebadi has authored 45 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Modeling and Simulation, 8 papers in Numerical Analysis and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in M. J. Ebadi's work include Fractional Differential Equations Solutions (16 papers), Iterative Methods for Nonlinear Equations (5 papers) and Nonlinear Waves and Solitons (5 papers). M. J. Ebadi is often cited by papers focused on Fractional Differential Equations Solutions (16 papers), Iterative Methods for Nonlinear Equations (5 papers) and Nonlinear Waves and Solitons (5 papers). M. J. Ebadi collaborates with scholars based in Iran, India and South Africa. M. J. Ebadi's co-authors include Mofid Gorji-Bandpy, Nadia Mammone, Z. Avazzadeh, Ali Ahmadian, Ali Safaei, Kamal Berahmand, Hossein Jafari, Hossein Hassani, Foad Ghaderi and Alessia Bramanti and has published in prestigious journals such as Neurocomputing, Journal of the Science of Food and Agriculture and BMC Medical Research Methodology.

In The Last Decade

M. J. Ebadi

41 papers receiving 827 citations

Peers

M. J. Ebadi
M. J. Ebadi
Citations per year, relative to M. J. Ebadi M. J. Ebadi (= 1×) peers Monika Mittal

Countries citing papers authored by M. J. Ebadi

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Ebadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Ebadi. 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. J. Ebadi. The network helps show where M. J. Ebadi may publish in the future.

Co-authorship network of co-authors of M. J. Ebadi

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Ebadi. A scholar is included among the top collaborators of M. J. Ebadi 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. J. Ebadi. M. J. Ebadi 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.
Avazzadeh, Z., et al.. (2025). Implementation of an Optimization Algorithm for a New General Class of Two-Dimensional Fractional PDEs. Journal of Optimization Theory and Applications. 205(2).
2.
Ebadi, M. J., et al.. (2025). A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization. Mathematics. 13(5). 817–817.
3.
Haq, Sirajul, et al.. (2024). Approximate Solution of PHI-Four and Allen–Cahn Equations Using Non-Polynomial Spline Technique. Mathematics. 12(6). 798–798. 2 indexed citations
4.
Ebadi, M. J., et al.. (2024). An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model. Acta Tropica. 257. 107277–107277. 7 indexed citations
5.
6.
Avazzadeh, Z., et al.. (2024). A new approach of generalized shifted Vieta-Fibonacci polynomials to solve nonlinear variable order time fractional Burgers-Huxley equations. Physica Scripta. 99(12). 125258–125258. 3 indexed citations
7.
Berahmand, Kamal, et al.. (2023). Early and High‐Accuracy Diagnosis of Parkinson’s Disease: Outcomes of a New Model. Computational and Mathematical Methods in Medicine. 2023(1). 1493676–1493676. 13 indexed citations
8.
Hassani, Hossein, Z. Avazzadeh, Praveen Agarwal, et al.. (2023). A study on fractional tumor-immune interaction model related to lung cancer via generalized Laguerre polynomials. BMC Medical Research Methodology. 23(1). 189–189. 12 indexed citations
9.
Haq, Sirajul, et al.. (2023). Radial Basis Functions Approximation Method for Time-Fractional FitzHugh–Nagumo Equation. Fractal and Fractional. 7(12). 882–882. 9 indexed citations
10.
Avazzadeh, Z., et al.. (2023). Optimal Approximation of Fractional Order Brain Tumor Model Using Generalized Laguerre Polynomials. Iranian Journal of Science. 47(2). 501–513. 9 indexed citations
11.
Avazzadeh, Z., et al.. (2023). An optimization method for studying fractional-order tuberculosis disease model via generalized Laguerre polynomials. Soft Computing. 27(14). 9519–9531. 13 indexed citations
12.
Ebadi, M. J., et al.. (2023). A truthful and budget-balanced double auction model for resource allocation in cloud computing. Soft Computing. 27(23). 18263–18284. 11 indexed citations
13.
Avazzadeh, Z., et al.. (2023). An Efficient Algorithm for Solving the Fractional Hepatitis B Treatment Model Using Generalized Bessel Polynomial. Iranian Journal of Science. 47(5-6). 1649–1664. 6 indexed citations
14.
Avazzadeh, Z., Hossein Hassani, M. J. Ebadi, et al.. (2023). Generalized Lerch polynomials: application in fractional model of CAR-T cells for T-cell leukemia. The European Physical Journal Plus. 138(12). 7 indexed citations
15.
Ebadi, M. J., et al.. (2020). An efficient one-layer recurrent neural network for solving a class of nonsmooth optimization problems. 6(24). 97–110. 3 indexed citations
16.
Ebadi, M. J., et al.. (2020). Solving multi-objective functions for cancer treatment by using Metaheuristic Algorithms.. 11(3). 61–75. 12 indexed citations
17.
Ebadi, M. J., et al.. (2020). A local mesh-less collocation method for solving a class of time-dependent fractional integral equations: 2D fractional evolution equation. Engineering Analysis with Boundary Elements. 113. 372–381. 18 indexed citations
18.
Ebadi, M. J., et al.. (2020). Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks.. International Journal of Interactive Multimedia and Artificial Intelligence. 6(4). 18–25. 24 indexed citations
19.
Ebadi, M. J., et al.. (2019). Finding Inverse of a Fuzzy Matrix using Eigen value Method. International Journal of Innovative Technology and Exploring Engineering. 9(2). 3030–3037. 10 indexed citations
20.
Morabito, Francesco Carlo, Maurizio Campolo, Cosimo Ieracitano, et al.. (2016). Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings. 1–6. 115 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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