Mohammad Tofighi
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Aerospace Engineering
- Co-authors
- Vishal MongaYonina C. EldarYuelong LiA. Enis ÇetinJunyi GengKıvanç KöseAfshin S. DaryoushJairam Vanamala
- Topics
- Sparse and Compressive Sensing Techniques (7 papers)Image and Signal Denoising Methods (6 papers)Advanced Image Processing Techniques (5 papers)
- Journals
- IEEE Signal Processing MagazineReview of Scientific InstrumentsIEEE Transactions on Instrumentation and Measurement
- Partner nations
- TürkiyeUnited StatesIsrael
In The Last Decade
Mohammad Tofighi
16 papers receiving 305 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 172
- Media Technology 86
- Biomedical Engineering 75
- Computational Mechanics 74
- Aerospace Engineering 39
Countries citing papers authored by Mohammad Tofighi
This map shows the geographic impact of Mohammad Tofighi'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 Mohammad Tofighi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Tofighi more than expected).
Fields of papers citing papers by Mohammad Tofighi
This network shows the impact of papers produced by Mohammad Tofighi. 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 Mohammad Tofighi. The network helps show where Mohammad Tofighi may publish in the future.
Co-authorship network of co-authors of Mohammad Tofighi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Tofighi. A scholar is included among the top collaborators of Mohammad Tofighi 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 Mohammad Tofighi. Mohammad Tofighi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 47 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 7 |
About Mohammad Tofighi
Mohammad Tofighi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 17 papers that have together received 312 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Media Technology (86 citations), Computer Vision and Pattern Recognition (172 citations) and Computational Mechanics (74 citations). Mohammad Tofighi has collaborated with scholars based in Türkiye, United States and Israel. Frequent co-authors include Vishal Monga, Yonina C. Eldar, Yuelong Li, A. Enis Çetin, Junyi Geng, Kıvanç Köse, Afshin S. Daryoush, Jairam Vanamala, Alican Bozkurt and Rengül Çetin-Atalay. Their work appears in journals such as IEEE Signal Processing Magazine, Review of Scientific Instruments and IEEE Transactions on Instrumentation and Measurement.
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.