Amir‐massoud Farahmand
- Media Technology top 10%
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- Reinforcement Learning in Robotics 10
- Evolutionary Algorithms and Applications 3
- Machine Learning and Algorithms 2
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- Advanced Control Systems Optimization 6
- Control Systems and Identification 5
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- Advanced Multi-Objective Optimization Algorithms 2
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- Model Reduction and Neural Networks 3
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- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Azad ShademanMartin JägersandCsaba SzepesváriMouhacine BenosmanDaniel NikovskiSaleh NabiMohammad GhavamzadehShie Mannor
- Journals
- IEEE Transactions on Automatic Control (1 paper)Journal of Machine Learning Research (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Amir‐massoud Farahmand
22 papers receiving 192 citations
Peers
Comparison fields: 5 of 59
- Media Technology 31
- Computer Vision and Pattern Recognition 55
- Artificial Intelligence 84
- Control and Systems Engineering 52
- Computational Theory and Mathematics 29
Countries citing papers authored by Amir‐massoud Farahmand
This map shows the geographic impact of Amir‐massoud Farahmand'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 Amir‐massoud Farahmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir‐massoud Farahmand more than expected).
Fields of papers citing papers by Amir‐massoud Farahmand
This network shows the impact of papers produced by Amir‐massoud Farahmand. 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 Amir‐massoud Farahmand. The network helps show where Amir‐massoud Farahmand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amir‐massoud Farahmand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | PID Accelerated Value Iteration Algorithm | 2021 | 1 |
| 2 | Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm | 2019 | 2 |
| 3 | 2018 | 9 | |
| 4 | Iterative Value-Aware Model Learning | 2018 | 5 |
| 5 | Dimensionality Reduction for Representing the Knowledge of Probabilistic Models | 2018 | 3 |
| 6 | Random Projection Filter Bank for Time Series Data. | 2017 | 1 |
| 7 | 2017 | 22 | |
| 8 | 2017 | 1 | |
| 9 | Regularized policy iteration with nonparametric function spaces | 2016 | 19 |
| 10 | 2016 | 0 | |
| 11 | 2016 | 8 | |
| 12 | 2016 | 4 | |
| 13 | 2015 | 11 | |
| 14 | 2015 | 3 | |
| 15 | Sample-based approximate regularization | 2014 | 1 |
| 16 | Generalized Classication-bas ed Approximate Policy Iteration | 2012 | 3 |
| 17 | Action-Gap Phenomenon in Reinforcement Learning | 2011 | 16 |
| 18 | 2011 | 20 | |
| 19 | 2010 | 52 | |
| 20 | 2009 | 9 |
About Amir‐massoud Farahmand
Amir‐massoud Farahmand is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics, having authored 23 papers that have together received 204 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Advanced Control Systems Optimization (6 papers), Control Systems and Identification (5 papers), Model Reduction and Neural Networks (3 papers), Evolutionary Algorithms and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Media Technology (31 citations), Computer Vision and Pattern Recognition (55 citations) and Artificial Intelligence (84 citations). Amir‐massoud Farahmand has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Azad Shademan, Martin Jägersand, Csaba Szepesvári, Mouhacine Benosman, Daniel Nikovski, Saleh Nabi, Mohammad Ghavamzadeh, Shie Mannor, Meng Xia and De-An Huang. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Machine Learning Research, Machine Learning, International Journal of Adaptive Control and Signal Processing and Journal of Statistical Planning and Inference.
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.