M. P. Ekstrom
- Computer Vision and Pattern Recognition top 5%
- Geophysics top 10%
- Signal Processing top 5%
- Ocean Engineering top 5%
- Computational Mechanics top 10%
- Co-authors
- J. WoodsSushmita MitraMinyi ChenPeter LloydD. GoodmanS.K. MitraJohn W. WoodsV. Ralph Algazi
- Topics
- Digital Filter Design and Implementation (9 papers)Image and Signal Denoising Methods (6 papers)Advanced Adaptive Filtering Techniques (5 papers)
- Journals
- IEEE Transactions on Automatic ControlProceedings of the IEEEJournal of Computational Physics
- Partner nations
- United StatesBritish Virgin Islands
In The Last Decade
M. P. Ekstrom
29 papers receiving 817 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 248
- Geophysics 205
- Signal Processing 183
- Ocean Engineering 146
- Computational Mechanics 104
Countries citing papers authored by M. P. Ekstrom
This map shows the geographic impact of M. P. Ekstrom'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 M. P. Ekstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. P. Ekstrom more than expected).
Fields of papers citing papers by M. P. Ekstrom
This network shows the impact of papers produced by M. P. Ekstrom. 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 M. P. Ekstrom. The network helps show where M. P. Ekstrom may publish in the future.
Co-authorship network of co-authors of M. P. Ekstrom
This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Ekstrom. A scholar is included among the top collaborators of M. P. Ekstrom 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 M. P. Ekstrom. M. P. Ekstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | Formation Imaging With Microelectrical Scanning Arrays | 149 |
| 5 | 29 | |
| 6 | 14 | |
| 7 | 45 | |
| 8 | Digital, realizable Wiener filtering in two-dimensions | 1 |
| 9 | Two-dimensional digital signal processing | 83 |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 185 | |
| 13 | Nonsymmetric half plane recursive filters: characterization, stability theorem, and test | 3 |
| 14 | 11 | |
| 15 | 57 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | DISCRETE-PROCESS SPECTRAL FACTORIZATION BY GENERALIZED LINEAR FILTERING. | 1 |
| 19 | OPTIMUM DESIGN OF TWO-DIMENSIONAL NONRECURSIVE DIGITAL FILTERS. | 4 |
| 20 | 1 |
About M. P. Ekstrom
M. P. Ekstrom is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 29 papers that have together received 886 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (9 papers), Image and Signal Denoising Methods (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). The work is most often cited by research in Signal Processing (183 citations), Geophysics (205 citations) and Computer Vision and Pattern Recognition (248 citations). M. P. Ekstrom has collaborated with scholars based in United States and British Virgin Islands. Frequent co-authors include J. Woods, Sushmita Mitra, Minyi Chen, Peter Lloyd, D. Goodman, S.K. Mitra, John W. Woods, V. Ralph Algazi, N. Stanley Nahman and M. M. Sondhi. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Journal of Computational Physics.
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.