Michael C. Grant
- Computational Mechanics top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Emmanuel J. CandèsStephen R. BeckerStephen BoydStephen BeckerAzita EmamiMichael B. WakinJuhwan YooE.A. Sovero
- Topics
- Sparse and Compressive Sensing Techniques (4 papers)Numerical Methods and Algorithms (2 papers)Advanced Optimization Algorithms Research (2 papers)
- Journals
- IEEE Journal on Emerging and Selected Topics in Circuits and SystemsMathematical Programming ComputationData Archiving and Networked Services (DANS)
- Partner nations
- United StatesFrance
In The Last Decade
Michael C. Grant
6 papers receiving 559 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computational Mechanics 357
- Biomedical Engineering 157
- Computer Vision and Pattern Recognition 117
- Electrical and Electronic Engineering 106
- Signal Processing 94
Countries citing papers authored by Michael C. Grant
This map shows the geographic impact of Michael C. Grant'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 Michael C. Grant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Grant more than expected).
Fields of papers citing papers by Michael C. Grant
This network shows the impact of papers produced by Michael C. Grant. 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 Michael C. Grant. The network helps show where Michael C. Grant may publish in the future.
Co-authorship network of co-authors of Michael C. Grant
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Grant. A scholar is included among the top collaborators of Michael C. Grant 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 Michael C. Grant. Michael C. Grant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The CVX Users' Guide | 24 |
| 2 | The CVX Users' Guide Release 2.0 (beta) | 26 |
| 3 | 57 | |
| 4 | 102 | |
| 5 | Templates for convex cone problems with applications to sparse signal recoverybreakdown → | 356 |
| 6 | XHTML-Print - Second Edition | 0 |
| 7 | 20 |
About Michael C. Grant
Michael C. Grant is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 7 papers that have together received 585 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Numerical Methods and Algorithms (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Computational Mechanics (357 citations), Numerical Analysis (63 citations) and Signal Processing (94 citations). Michael C. Grant has collaborated with scholars based in United States and France. Frequent co-authors include Emmanuel J. Candès, Stephen R. Becker, Stephen Boyd, Stephen Becker, Azita Emami, Michael B. Wakin, Juhwan Yoo, E.A. Sovero, Justin Romberg and Lieven Vandenberghe. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Mathematical Programming Computation and Data Archiving and Networked Services (DANS).
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.