Albert S. Berahas
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Numerical Analysis top 10%
- Management Science and Operations Research
- Co-authors
- Ermin WeiNitish Shirish KeskarMartin TakáčDaniel P. RobinsonFrank E. CurtisKatya ScheinbergAndré L. BoehmanMatthew Brusstar
- Topics
- Sparse and Compressive Sensing Techniques (10 papers)Advanced Optimization Algorithms Research (8 papers)Stochastic Gradient Optimization Techniques (7 papers)
- Journals
- IEEE Transactions on Automatic ControlACS Applied Materials & InterfacesMathematical Programming
- Partner nations
- United StatesChinaMexico
In The Last Decade
Albert S. Berahas
18 papers receiving 203 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 106
- Computational Mechanics 72
- Computer Networks and Communications 62
- Numerical Analysis 48
- Management Science and Operations Research 26
Countries citing papers authored by Albert S. Berahas
This map shows the geographic impact of Albert S. Berahas'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 Albert S. Berahas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert S. Berahas more than expected).
Fields of papers citing papers by Albert S. Berahas
This network shows the impact of papers produced by Albert S. Berahas. 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 Albert S. Berahas. The network helps show where Albert S. Berahas may publish in the future.
Co-authorship network of co-authors of Albert S. Berahas
This figure shows the co-authorship network connecting the top 25 collaborators of Albert S. Berahas. A scholar is included among the top collaborators of Albert S. Berahas 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 Albert S. Berahas. Albert S. Berahas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 7 | |
| 16 | 27 | |
| 17 | 7 | |
| 18 | 70 | |
| 19 | 2 | |
| 20 | Sparse representation and least squares-based classification in face recognition | 3 |
About Albert S. Berahas
Albert S. Berahas is a scholar working on Numerical Analysis, Computational Mechanics and Management Science and Operations Research, having authored 20 papers that have together received 210 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Advanced Optimization Algorithms Research (8 papers) and Stochastic Gradient Optimization Techniques (7 papers). The work is most often cited by research in Numerical Analysis (48 citations), Computational Mechanics (72 citations) and Artificial Intelligence (106 citations). Albert S. Berahas has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Ermin Wei, Nitish Shirish Keskar, Martin Takáč, Daniel P. Robinson, Frank E. Curtis, Katya Scheinberg, André L. Boehman, Matthew Brusstar, Ruonan Sun and Jiahao Shi. Their work appears in journals such as IEEE Transactions on Automatic Control, ACS Applied Materials & Interfaces and Mathematical Programming.
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.