Morteza Shahram
- Computer Vision and Pattern Recognition top 10%
- Information Systems and Management top 5%
- Signal Processing top 10%
- Information Systems top 10%
- Computational Mechanics top 10%
- Co-authors
- Peyman MilanfarDavid L. DonohoArian MalekiVictoria StoddenGitta KutyniokXiaosheng ZhuangJohn M. PaulyJongho Lee
- Topics
- Blind Source Separation Techniques (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Image and Signal Denoising Methods (4 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesGermanyIran
In The Last Decade
Morteza Shahram
17 papers receiving 458 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 135
- Information Systems and Management 104
- Signal Processing 73
- Information Systems 71
- Computational Mechanics 71
Countries citing papers authored by Morteza Shahram
This map shows the geographic impact of Morteza Shahram'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 Morteza Shahram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morteza Shahram more than expected).
Fields of papers citing papers by Morteza Shahram
This network shows the impact of papers produced by Morteza Shahram. 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 Morteza Shahram. The network helps show where Morteza Shahram may publish in the future.
Co-authorship network of co-authors of Morteza Shahram
This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Shahram. A scholar is included among the top collaborators of Morteza Shahram 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 Morteza Shahram. Morteza Shahram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 19 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 163 | |
| 6 | 15 | |
| 7 | 15 Years of Reproducible Research in Computational Harmonic Analysis | 14 |
| 8 | 31 | |
| 9 | 6 | |
| 10 | 30 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 51 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 62 | |
| 17 | 10 | |
| 18 | 15 |
About Morteza Shahram
Morteza Shahram is a scholar working on Signal Processing, Media Technology and Biophysics, having authored 18 papers that have together received 492 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Information Systems and Management (104 citations), Biophysics (46 citations) and Signal Processing (73 citations). Morteza Shahram has collaborated with scholars based in United States, Germany and Iran. Frequent co-authors include Peyman Milanfar, David L. Donoho, Arian Maleki, Victoria Stodden, Gitta Kutyniok, Xiaosheng Zhuang, John M. Pauly, Jongho Lee, K. Nayebi and Armin Schwartzman. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.