Samad Noeiaghdam
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 2%
- Iterative Methods for Nonlinear Equations
Papers in
-
- Fractional Differential Equations Solutions 55
-
- Nanofluid Flow and Heat Transfer 48
- Co-authors
- Unai Fernández‐Gámiz (42 shared papers)G. Dharmaiah (13 shared papers)Mohammad Ali Fariborzi Araghi (12 shared papers)Saeed Dinarvand (15 shared papers)Denis Sidorov (16 shared papers)Vediyappan Govindan (14 shared papers)Jagadish V. Tawade (3 shared papers)Sanda Micula (7 shared papers)
In The Last Decade
Samad Noeiaghdam
132 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 709
- Numerical Analysis 360
- Computational Mechanics 986
- Biomedical Engineering 1.5k
- Applied Mathematics 318
Countries citing papers authored by Samad Noeiaghdam
This map shows the geographic impact of Samad Noeiaghdam'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 Samad Noeiaghdam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samad Noeiaghdam more than expected).
Fields of papers citing papers by Samad Noeiaghdam
This network shows the impact of papers produced by Samad Noeiaghdam. 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 Samad Noeiaghdam. The network helps show where Samad Noeiaghdam may publish in the future.
Co-authors
The 25 scholars most cited alongside Samad Noeiaghdam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 127 | |
| 2 | 2022 | 117 | |
| 3 | 2022 | 99 | |
| 4 | 2023 | 80 | |
| 5 | 2022 | 77 | |
| 6 | 2023 | 73 | |
| 7 | 2023 | 66 | |
| 8 | 2023 | 65 | |
| 9 | 2023 | 59 | |
| 10 | 2022 | 54 | |
| 11 | 2022 | 53 | |
| 12 | 2023 | 52 | |
| 13 | 2023 | 52 | |
| 14 | 2015 | 52 | |
| 15 | 2021 | 49 | |
| 16 | 2022 | 49 | |
| 17 | 2024 | 48 | |
| 18 | 2018 | 47 | |
| 19 | 2020 | 45 | |
| 20 | 2023 | 42 |
About Samad Noeiaghdam
Samad Noeiaghdam is a scholar working on Modeling and Simulation, Biomedical Engineering, Numerical Analysis, Mechanical Engineering and Computational Mechanics, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (55 papers), Nanofluid Flow and Heat Transfer (48 papers), Heat Transfer Mechanisms (32 papers), Fluid Dynamics and Turbulent Flows (27 papers), Iterative Methods for Nonlinear Equations (21 papers), Differential Equations and Numerical Methods (17 papers), Nonlinear Differential Equations Analysis (13 papers) and Fuzzy Systems and Optimization (11 papers). The work is most often cited by research in Modeling and Simulation (709 citations), Numerical Analysis (360 citations), Computational Mechanics (986 citations), Biomedical Engineering (1.5k citations) and Applied Mathematics (318 citations). Samad Noeiaghdam has collaborated with scholars based in Russia, Iran and India. Frequent co-authors include Unai Fernández‐Gámiz, G. Dharmaiah, Mohammad Ali Fariborzi Araghi, Saeed Dinarvand, Denis Sidorov, Vediyappan Govindan, Jagadish V. Tawade, Sanda Micula, Shyam Sundar Santra and Muhammad Sohail Khan. Their work appears in journals such as Results in Engineering, Symmetry, Heliyon, Case Studies in Thermal Engineering and Complexity.
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.