Alireza Fallah
About
In The Last Decade
Alireza Fallah
11 papers receiving 451 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 257
- Radiology, Nuclear Medicine and Imaging 135
- Information Systems 40
- Computer Vision and Pattern Recognition 36
- Computer Science Applications 36
Countries citing papers authored by Alireza Fallah
This map shows the geographic impact of Alireza Fallah'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 Alireza Fallah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alireza Fallah more than expected).
Fields of papers citing papers by Alireza Fallah
This network shows the impact of papers produced by Alireza Fallah. 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 Alireza Fallah. The network helps show where Alireza Fallah may publish in the future.
Co-authorship network of co-authors of Alireza Fallah
This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Fallah. A scholar is included among the top collaborators of Alireza Fallah 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 Alireza Fallah. Alireza Fallah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach breakdown → | 266 |
| 9 | On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms | 12 |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 147 |
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.