Jamal Amani Rad
- Modeling and Simulation top 0.5%
- Numerical Analysis top 2%
- Mechanics of Materials top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 5%
- Co-authors
- Kourosh ParandS. KazemS. AbbasbandyLuca Vincenzo BallestraSaeed KazemHojatollah AdibiAhmet YıldırımVahid Nejati
- Topics
- Fractional Differential Equations Solutions (23 papers)Numerical methods in engineering (17 papers)Differential Equations and Numerical Methods (16 papers)
- Partner nations
- IranCanadaSwitzerland
In The Last Decade
Jamal Amani Rad
63 papers receiving 911 citations
Peers
Comparison fields: 5 of 71
- Modeling and Simulation 498
- Numerical Analysis 401
- Mechanics of Materials 333
- Statistical and Nonlinear Physics 200
- Computational Mechanics 147
Countries citing papers authored by Jamal Amani Rad
This map shows the geographic impact of Jamal Amani Rad'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 Jamal Amani Rad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamal Amani Rad more than expected).
Fields of papers citing papers by Jamal Amani Rad
This network shows the impact of papers produced by Jamal Amani Rad. 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 Jamal Amani Rad. The network helps show where Jamal Amani Rad may publish in the future.
Co-authorship network of co-authors of Jamal Amani Rad
This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Amani Rad. A scholar is included among the top collaborators of Jamal Amani Rad 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 Jamal Amani Rad. Jamal Amani Rad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | Reflected Boundary Drift Diffusion Model: A Double Responding Framework for Go/No-Go Paradigm | 1 |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 28 | |
| 17 | 28 | |
| 18 | 4 | |
| 19 | 40 | |
| 20 | 46 |
About Jamal Amani Rad
Jamal Amani Rad is a scholar working on Modeling and Simulation, Numerical Analysis and General Decision Sciences, having authored 64 papers that have together received 960 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (23 papers), Numerical methods in engineering (17 papers) and Differential Equations and Numerical Methods (16 papers). The work is most often cited by research in Modeling and Simulation (498 citations), Numerical Analysis (401 citations) and Statistical and Nonlinear Physics (200 citations). Jamal Amani Rad has collaborated with scholars based in Iran, Canada and Switzerland. Frequent co-authors include Kourosh Parand, S. Kazem, S. Abbasbandy, Luca Vincenzo Ballestra, Saeed Kazem, Hojatollah Adibi, Ahmet Yıldırım, Vahid Nejati, Lina von Sydow and Elisabeth Larsson. Their work appears in journals such as Trends in Cognitive Sciences, Scientific Reports and Neuropsychologia.
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.