Farbod Roosta-Khorasani
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- Advanced Optimization Algorithms Research 2
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- Sparse and Compressive Sensing Techniques 4
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- Stochastic Gradient Optimization Techniques 2
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- Complex Network Analysis Techniques 1
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- Graph Theory and Algorithms 1
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- Numerical methods in inverse problems 2
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- Electrical and Bioimpedance Tomography 1
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- Probabilistic and Robust Engineering Design 1
- Co-authors
- Michael W. MahoneyKimon FountoulakisJulian ShunKees van den DoelUri M. AscherKristofer E. BouchardSharmodeep BhattacharyyaSudhir B. Kylasa
- Journals
- SIAM Journal on Scientific Computing (1 paper)Proceedings of the VLDB Endowment (1 paper)Mathematical Programming (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Farbod Roosta-Khorasani
6 papers receiving 106 citations
Peers
Comparison fields: 5 of 36
- Numerical Analysis 22
- Computational Mechanics 48
- Artificial Intelligence 69
- Statistical and Nonlinear Physics 16
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Farbod Roosta-Khorasani
This map shows the geographic impact of Farbod Roosta-Khorasani'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 Farbod Roosta-Khorasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farbod Roosta-Khorasani more than expected).
Fields of papers citing papers by Farbod Roosta-Khorasani
This network shows the impact of papers produced by Farbod Roosta-Khorasani. 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 Farbod Roosta-Khorasani. The network helps show where Farbod Roosta-Khorasani may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Farbod Roosta-Khorasani, 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 | Distributed Second-order Convex Optimization | 2018 | 1 |
| 2 | 2018 | 57 | |
| 3 | The Union of Intersections (UoI) method for interpretable data driven discovery and prediction | 2017 | 1 |
| 4 | 2016 | 36 | |
| 5 | 2015 | 2 | |
| 6 | 2014 | 16 |
About Farbod Roosta-Khorasani
Farbod Roosta-Khorasani is a scholar working on Numerical Analysis, Mathematical Physics and Computational Mechanics, having authored 6 papers that have together received 113 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers), Numerical methods in inverse problems (2 papers), Complex Network Analysis Techniques (1 paper), Electrical and Bioimpedance Tomography (1 paper), Probabilistic and Robust Engineering Design (1 paper) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Numerical Analysis (22 citations), Computational Mechanics (48 citations) and Artificial Intelligence (69 citations). Farbod Roosta-Khorasani has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Michael W. Mahoney, Kimon Fountoulakis, Julian Shun, Kees van den Doel, Uri M. Ascher, Kristofer E. Bouchard, Sharmodeep Bhattacharyya, Sudhir B. Kylasa, Ananth Grama and Prabhat. Their work appears in journals such as SIAM Journal on Scientific Computing, Proceedings of the VLDB Endowment, Mathematical Programming, Open Collections and Queensland's institutional digital repository (The University of Queensland).
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.