Moshe Porat
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 5%
- Media Technology top 2%
- Signal Processing top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Y.Y. ZeeviMichael LindenbaumGabriel MarshakDov OphirHagai KirshnerJoachim A. BeharYehoshua Y. ZeeviAlfred M. Bruckstein⋆
- Topics
- Image and Signal Denoising Methods (51 papers)Advanced Data Compression Techniques (18 papers)Advanced Image Processing Techniques (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Moshe Porat
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 985
- Computational Mechanics 271
- Media Technology 226
- Signal Processing 184
- Computer Graphics and Computer-Aided Design 125
Countries citing papers authored by Moshe Porat
This map shows the geographic impact of Moshe Porat'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 Moshe Porat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Porat more than expected).
Fields of papers citing papers by Moshe Porat
This network shows the impact of papers produced by Moshe Porat. 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 Moshe Porat. The network helps show where Moshe Porat may publish in the future.
Co-authorship network of co-authors of Moshe Porat
This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Porat. A scholar is included among the top collaborators of Moshe Porat 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 Moshe Porat. Moshe Porat 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 | 7 | |
| 3 | A stochastic minimum-norm approach to image and texture interpolation | 1 |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 26 | |
| 7 | Does decorrelation really improve color image compression | 7 |
| 8 | Image interpolation using consistent neighborhood correlations | 1 |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 403 | |
| 15 | 3 | |
| 16 | THE MOST SIGNIFICANT EDGES: AN EFFICIENT IMAGE DESCRIPTION FOR MACHINE VISION APPLICATIONS | 1 |
| 17 | 66 | |
| 18 | 85 | |
| 19 | 1 | |
| 20 | Combined frequency-position scheme of image representation in vision (A) | 13 |
About Moshe Porat
Moshe Porat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (51 papers), Advanced Data Compression Techniques (18 papers) and Advanced Image Processing Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (985 citations), Computer Graphics and Computer-Aided Design (125 citations) and Media Technology (226 citations). Moshe Porat has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Y.Y. Zeevi, Michael Lindenbaum, Gabriel Marshak, Dov Ophir, Hagai Kirshner, Joachim A. Behar, Yehoshua Y. Zeevi, Alfred M. Bruckstein⋆, Nir Cohen and Yonina C. Eldar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.