Michael B. Wakin
About
In The Last Decade
Michael B. Wakin
153 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computational Mechanics 11.7k
- Biomedical Engineering 5.8k
- Computer Vision and Pattern Recognition 4.5k
- Electrical and Electronic Engineering 4.2k
- Signal Processing 4.1k
Countries citing papers authored by Michael B. Wakin
This map shows the geographic impact of Michael B. Wakin'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 B. Wakin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Wakin more than expected).
Fields of papers citing papers by Michael B. Wakin
This network shows the impact of papers produced by Michael B. Wakin. 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 B. Wakin. The network helps show where Michael B. Wakin may publish in the future.
Co-authorship network of co-authors of Michael B. Wakin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael B. Wakin. A scholar is included among the top collaborators of Michael B. Wakin 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 B. Wakin. Michael B. Wakin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | The Landscape of Non-convex Empirical Risk with Degenerate Population Risk | 3 |
| 8 | Support Recovery for Sparse Signals with Non-stationary Modulation. | 1 |
| 9 | Distributed Low-rank Matrix Factorization With Exact Consensus | 9 |
| 10 | 2 | |
| 11 | The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. | 8 |
| 12 | Detection of stationary targets using Discrete Prolate Spheroidal Sequences | 1 |
| 13 | Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences | 59 |
| 14 | Random Projections for Manifold Learning | 69 |
| 15 | 22 | |
| 16 | 381 | |
| 17 | 55 | |
| 18 | Analysis of the DCS one-stage Greedy Algorothm for Common Sparse Supports | 1 |
| 19 | Recovery of Jointly Sparse Signals from Few Random Projections | 48 |
| 20 | Compression of Higher Dimensional Functions Containing Smooth Discontinuities | 5 |
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.