Saber Jafarpour
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Energy Engineering and Power Technology top 10%
- Artificial Intelligence
- Co-authors
- Francesco BulloVictor PurbaBrian JohnsonSairaj V. DhopleA. S. DavydovAndrew D. LewisMiguel A. Vega‐RodríguezSamuel Coogan
- Topics
- Control and Stability of Dynamical Systems (6 papers)Microgrid Control and Optimization (5 papers)Model Reduction and Neural Networks (4 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- Nature CommunicationsIEEE Transactions on Automatic ControlIEEE Transactions on Power Systems
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Saber Jafarpour
25 papers receiving 270 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 182
- Electrical and Electronic Engineering 138
- Computer Networks and Communications 52
- Energy Engineering and Power Technology 34
- Artificial Intelligence 23
Countries citing papers authored by Saber Jafarpour
This map shows the geographic impact of Saber Jafarpour'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 Saber Jafarpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saber Jafarpour more than expected).
Fields of papers citing papers by Saber Jafarpour
This network shows the impact of papers produced by Saber Jafarpour. 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 Saber Jafarpour. The network helps show where Saber Jafarpour may publish in the future.
Co-authorship network of co-authors of Saber Jafarpour
This figure shows the co-authorship network connecting the top 25 collaborators of Saber Jafarpour. A scholar is included among the top collaborators of Saber Jafarpour 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 Saber Jafarpour. Saber Jafarpour 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 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | Combining Physics and Machine Learning for Network Flow Estimation | 3 |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 34 | |
| 17 | 44 | |
| 18 | 13 | |
| 19 | 38 | |
| 20 | 2 |
About Saber Jafarpour
Saber Jafarpour is a scholar working on Control and Systems Engineering, Geometry and Topology and Software, having authored 29 papers that have together received 276 indexed citations. Recurring topics across this work include Control and Stability of Dynamical Systems (6 papers), Microgrid Control and Optimization (5 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (34 citations), Control and Systems Engineering (182 citations) and Electrical and Electronic Engineering (138 citations). Saber Jafarpour has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Francesco Bullo, Victor Purba, Brian Johnson, Sairaj V. Dhople, A. S. Davydov, Andrew D. Lewis, Miguel A. Vega‐Rodríguez, Samuel Coogan, Xiaoming Duan and Mohammad Pirani. Their work appears in journals such as Nature Communications, IEEE Transactions on Automatic Control and IEEE Transactions on Power Systems.
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.